write a dissertation in 2 weeks

How I Wrote My Masters’ Thesis in One Week

How to write a lot in a tiny amount of time.

S Pats

The Startup

‘They say Rome wasn’t built in a day, but I wasn’t on that particular job ‘ — Brian Clough

Have you ever read an article giving good, actionable advice on how to write beautiful written content? This article is the evil twin of that. The aim here is to help those unfortunate souls who have found themselves in the lovely position of having to deliver a solid chunk of writing before a deadline or face (insert bad consequences).

The final year of university was somewhat of a blur. There were two main hurdles for me to cross. The first being final year exams — which, while daunting, weren’t that much of a concern.The second was my dreaded master’s thesis.

Exams are easy to prepare for because there’s a clear deadline, but a thesis? Sure, they have those too but one of the sad facts of being a human being is our preparedness and foresight is inversely proportional to the square of how far the deadline is. This equation sums it up nicely:

So, I found myself in the unenviable position of having 8 days to write at least 30,000 words. Words that had to be somewhat intelligible and were able to convey a decent amount of information about the simulation of high-impact damage on composite materials. I kept putting the work off until the serious part of my brain gave me a reality check. Somehow 10 months of advanced warning wasn’t enough….

So, how did I manage to achieve this herculean feat? Here are the tactics I used:

Understand and Accept that You Will Have to Compromise on Quality

There’s no two ways about it. There is a general trend when it comes to human endeavours that have a dimension of quality and time to them: The faster you make something the worse it will be

It’s quite obvious, but it does become tempting while writing to make everything as perfect as it can be. The funny thing about quality is that it takes time, which is a luxury I didn’t have, so I focused on quantity instead.

The quality vs quantity dichotomy is mostly true, however they both aren’t mutually exclusive. Look at Netflix; when it come to binge-worthy shows they have both quality and quantity. But quality is subjective and when it comes to writing a technical thesis for a masters’ degree, the people grading my work weren’t expecting Hemingway. Having enough words to get my message across was good enough for me.

Read the Theses of Other People

If I didn’t do this, I would have failed at delivering my work at a decent enough level to get a grade I was happy with. How do you find a thesis? Simply do a Google search about the general gist of your thesis and you should be able to find handful of papers. Also, it is worth checking if your university has access to websites that host academic articles such Elsevier or ResearchGate because they store a wealth of information and even if they don’t have much about what you specifically are looking for, they’ll have content that is close enough to have some value.

The benefits of looking at a thesis done by someone else are huge:

Someone has already done the research

If there was one thing I loathed about academic life, its conducting literature reviews. The tedious process of sifting though hundreds of papers, sometimes looking for just a single sentence in the middle of a 60 page paper was a small taste of hell. However, I soon realised that I don’t need to go through all that pain.

It’s extremely likely that there’s someone out there who has already written on the topic of your thesis, or at the very least, there will a thesis out there with more than 60% overlap. This means that someone has already done a lot of the research related heavy-lifting for you.

Preferably find a paper that was written less than three years ago since a lot of the references in it will be relevant and can be used to lend your paper credibility.

You’ll get a good idea of how to structure your content

A thesis is useless if the information in it is not properly structured or doesn’t flow well. One of my main mental blocks that prevented me from even starting the work of writing my paper was that I had no idea what a thesis even looked like. When I saw other works by ex-students I gained an infinitely clearer picture about what mine should look and feel like.

I was an engineering student, and there is a generally accepted way of presenting a paper in that field. So reading one or two papers, even if irrelevant to your topic, will provide a lot of information regarding tone and flow.

You don’t need to pay to know what a paper says……sort of

If your university doesn’t have access to an academic content hosting website, you can still find out if a research paper contains data that you need. If you find a thesis closely related to what you’re doing, find a page that has some information which you can use for your paper, it will usually have a few references sprinkled around. Then use those to check the bibliography for the paper they refer to and now you have a way of finding the relevant research for your thesis without having to sift through a mind-numbing wall of search results.

This is a great way to gather information if you can’t afford to pay for access to some papers. It is a bit crude however and I only used this tactic if I was desperate and couldn’t find the data I needed anywhere else.

Just Start Writing

Even if I didn’t consider myself a writer, I had to become one in order to write a lot of content in a relatively short amount of time. So, how did I become a writer? I wrote. That’s all there is to it. Here are two ways that I managed to do it.

Write. Even when you have zero motivation

This applies especially to those who are in the situation I was in. Since the aim is to fill your content quota, write as much as you can and when you don’t feel like it, write some more. It does not matter if your writing is hurried and riddled with bad grammar, poor punctuation and spelling hiccups, you should take care of that during editing.

One way of looking at this process, which really helped me grind through it, was that it’s easier to take away than to add . This allowed me to not feel that internal sense of judgement whenever I added words just for the sake of increasing the word count because I can always come back later and remove words accordingly.

Write down every idea you have

Throughout the days, while I wrote, my brain threw up new talking points and even corrections that would, if added up, dramatically improve my paper. The only problem was that I was also sometimes ‘in the Zone’ and couldn’t afford to leave it.

I kept a single page of A4 next to me, and wrote down whatever useful nuggets of advice I thought up during writing. This meant I didn’t have to risk forgetting them by relying on memory, which is almost always terribly inefficient.

Then, during breaks or when I didn’t have enough energy to write but could still read and make small changes, I would refer to the list and work on them or flesh them out more. The brain tends to come up with new ways of doing whatever it is you’re doing if you stick with it long enough. Take advantage of this and use those new ideas to give your writing some character so that it doesn’t look too much like a first draft, which brings me onto my next tactic…

The first draft is the only draft

When you have a week to write something, time is not your friend. It’s more like an annoying movie villain, one who gets stronger the more you fight and is always reminding you that he exists.

One way to maximise your time writing and minimise energy spent on editing is to live by the ‘One and only draft’ motto. This means being a bit more careful when writing. As I mentioned earlier, I didn’t worry about the individual words I was putting down, but I did carefully go over the high-level aspects as I was writing in order to save me from the pain of reformatting my entire work in a hurry — much like solving a jigsaw puzzle with a gun to your head.

By high-level I mean the structure, format, style of presentation, placement of figures and other non-word content, reference style, etc. The specifics of these details can be quickly set (look to other similar written content for this if you are unsure) and are easy to refer to during the writing process.

It’s extremely important to set your format guidelines in stone before you start writing otherwise you could find yourself going back multiple times just to make sure theres consistency. It’s much better to get it right the first time than making yourself sift through the whole paper when you’re done since you could end up missing something.

If you’re one of those human office printer who can type out around 20,000 words a day, then you could get away with working through a couple drafts, but I definitely am not and most likely neither are you, so that means one draft is all we need.

This approach is surprisingly simple. Every time you are about to add something that is not the main text, ask yourself if it conforms to the format guidelines you set prior.

While you should minimise the number of drafts, it helps to ensure that your writing doesn’t feel like a first draft.

Use Drugs, Lots of Drugs

I mean coffee of course….

Quite self explanatory really, I knew I had to endure a couple all-nighters and so I had to keep myself caffeinated.

Make Time for Procrastination

Research shows that our willpower is finite , this means that you can’t expect yourself to chug along continuously past your fatigue limit. You have probably experienced this yourself. There are some days where you’re just blazing through work for hours on end, and then you hit a certain limit after which you can’t muster up the will to focus for longer than 5 minutes.

Similarly and all too frequently I came across this a lot. Initially I tried to force myself to maintain focus, but everyone has a limit and I realised soon that instead of fighting my nature I should be going with the flow of my mental state.

I forced myself to work for hour-long stretches, and at the end of each I allowed for 10 minutes of procrastination, this ensured two things: 1) I was not wasting mental energy trying to force my brain to do more & 2) I didn’t feel guilty when I browsed Youtube or Facebook mindlessly since I had designated a small amount of time specifically for that.

It takes a degree of honesty for you to know if you are actually mentally spent or if you are just looking for an excuse. However the more you practise this the better you’ll get.

Writing is a demanding pursuit, while there are some shortcuts to delivering meaningful words on paper nothing compares to writing that is well thought out and relaxed in its manner. I sure as hell hope I don’t need to write like a coked-up monkey ever again.

S Pats

Written by S Pats

Android Developer, armchair thinker, cheese lover. I’m interested in finding out what I’m interested in.

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An Insider’s Guide On How To Write A Thesis When You’re Short On Time

write a dissertation in 2 weeks

Written by Dora Farkas, PhD

I thought about quitting graduate school in the beginning of my 6th year.

I was almost certain that there was no way that I could graduate that year, or ever for that matter.

I started several dead-end projects, and most of my data was inconsistent and did not support any of my hypotheses.

I felt stuck and trapped in my own life.

The irony was that I actually created this life for myself because I thought that getting a PhD degree was the road to a better life and a career that I would be passionate about.

I finally summoned the courage to have “the talk” with my supervisor and clarify once and for all what I needed to do to graduate.

As I had expected, I could only use a very small portion of the data I had collected up to that point in my thesis.

My supervisor assigned me a new project, and I had to learn how to use three new instruments that I had no prior experience with.

If I wanted to graduate in a year, I had to make that project work.

In order to meet this ambitious deadline I decided to extend my 10-12 hour days to 15-hour days and learn the methods I needed for the new project.

After 5 months, I was finally able to generate some reproducible data with my new experimental setup.

I still had to run hundreds of samples through my system, but I finally had hope that I might be able to graduate that semester.

The problem was the thesis deadline was only 3 months away and I had no idea where to start.

Which section should I write first?

How should I organize my data?

When should I write?

write a dissertation in 2 weeks

7 Helpful Guidelines To Writing A Proper Thesis

My 15-hour days turned into 18-hour days fueled by junk food and soda.

Still, I wasn’t getting anywhere.

No one had taught me how to write a thesis.

To make matters worse, I was a perfectionist.

I spent countless hours writing and rewriting paragraphs and jumping back and forth between different chapters because none of the sections ever felt “good enough.”

Eventually, just as I was burning out and spinning into a dark cycle of depression, anxiety, and hopelessness, I finished my thesis.

As I turned the document into my thesis committee, I remember thinking…

There has to be a better way.

Over the next few years after finishing my thesis, I started studying the process and creating a more effective system for writing a thesis .

Since then, I’ve trained hundreds of PhD students on how to write their theses.

Here are 7 tips on how to write a strong thesis I’ve learned and continue to teach to other PhDs students…

1. Know What Questions You’re Asking

You always need to know what your hypothesis is or what questions your thesis is asking.

This may seem obvious, but so many graduate students fail to define their overall hypothesis before beginning their thesis.

You must be able to summarize your thesis in one sentence such as: “The purpose of this thesis is to….”

If you don’t know what your thesis question or hypothesis is, meet with your supervisor (See #3 below).

Over the years, I’ve encountered a few exceptions to this rule.

For example…

Some PhD students spent 8 or 9 years (full-time) in graduate school working on many small projects because no one project was viable enough for an entire thesis.

These students had what I call a “hodge-podge” thesis.

The only reason their thesis committees let these students graduate is because the students had been in school for so long.

While it is possible to pull a group of small projects together into one thesis, you don’t want to be at the mercy of your thesis committee.

It’s best to always know what question you are asking.

Your question will probably evolve over time, but the more clarity you have about the purpose of your thesis, the more efficient your research will be.

2. Break Your Thesis Into Defined Stages

Thesis writing is a process with well-defined stages

The details of each stage will vary slightly depending on your field, but for most thesis writers the stages are, first, idea collection, second, editing and data analysis, and third, polishing.

Perfectionists (like me) will particularly benefit from dividing their writing into discrete stages.

The purpose of the first stage of writing is to get as many ideas as possible on paper, without judging, editing or formatting your document.

By allowing yourself to collect your ideas without criticism, you can spark your creativity and overcome the fear of imperfection that may be holding you back from starting to write your thesis.

It is during the second stage, editing and data analysis phase, that you need to be rigorous with your writing and editing.

At the end of the second phase your goal is to produce a manuscript that has a clear structure and a logical flow of arguments so that you can submit it to your supervisor for review.

In the final polishing phase, you need address the feedback from your committee and fill in any gaps in the logic.

Polish, polish, polish, and polish some more until your document is ready to be handed in to your university’s library.

3. Don’t Rely On Your Academic Advisor

Your academic advisor will not give you all the answers.

Some advisors are either too busy to mentor you properly or are micro-managers who want daily updates on your progress.

Other academic advisors are simply bad mentors who don’t want you to graduate in the first place.

Either way, you shouldn’t rely on your mentor to give you all the answers.

You also shouldn’t rely on your advisor for a second reason…

Writing your thesis is your job and your job only.

The role of your advisor is to mentor you so you learn how to be an independent researcher, not to hold your hand for the rest of your life.

Your advisor may or may not be a good mentor, but you need to be in agreement regarding the direction of your research because you need their approval to graduate.

If you have disagreements with your advisor, or you have a dead-end project, it may take several meetings to determine the overall direction of your thesis.

The most effective way to meet with your advisor is to schedule meetings far in advance and come to every meeting with a clear agenda.

Students who plan proactively before talking with their supervisors have much more efficient meetings than those who don’t plan.

If your advisor is a difficult person, continue to be proactive about planning meetings and developing solutions to your problems.

Keep a record of every meeting you have or every meeting he or she refuses to have with you.

Finally, reframe your situation into a learning experience for your career.

4. Realize You Will Never Feel Like Writing

You will never feel like writing your thesis.

Even the most famous and prolific authors in history had daily battles with writer’s block.

You won’t be any different. There will be times when you sit down to write when you feel like you’re dying.

That’s okay—just start typing gibberish. Type sentence fragments. Type anything. Just get something down on paper.

Don’t wait to be inspired to write. Instead, go out and look for inspiration.

Listen to music that puts you in the mood to write. Watch a short video that motivates you to take action. Visualize all the things you will do once your thesis is done.

Warming up your “writing muscles” and seeking out inspiration are the only cures for writer’s block.

Once you’re warmed up and inspired, words will start to flow more naturally. They may even start to form cohesive sentences and paragraphs.

Overtime, your warm-up period will get shorter and shorter until clicking into writing gear becomes an automatic habit.

5. Don’t Write Your Thesis Chapters In Order

When I started writing my thesis, I thought I had to begin with the abstract, then the introduction, then an in-depth literature search, then chapter one, chapter two, on and on all the way to the conclusion.

This is the worst way to write your thesis.

Writing your thesis in order can lead to several months of agonizing writer’s block.

Don’t start writing your thesis by writing the abstract first.

Instead, the abstract of your thesis should be the last section you write

By definition, the abstract is a summary of the highlights of your thesis, and therefore you should only be able to write a quality abstract once you finish all of your chapters.

Don’t start writing your thesis by diving into the most difficult chapter either.

If you do, you will inevitably face writer’s block.

Starting your thesis by writing the most difficult chapter first is like trying to deadlift a 500-pound weight without any prior training.

You’ll keep trying to lift the heavy weight unsuccessfully until you’re completely exhausted. Eventually, you’ll give up entirely and label yourself as simply not good enough to do the exercise.

Instead, start writing your thesis by writing the easiest section first—the methods section.

The methods section is the easiest section to get started and the quickest to finish. Start here to get a few pages under your belt and boost your confidence before you try any heavy lifting.

6. Never Write “work on thesis” In Your Calendar

“Work on thesis” is too vague.

If you put this phrase in your calendar it will either lead to you taking a nap, surfing the web, or staring at a blank computer screen.

Even if you do manage to put some words on paper or analyze some data, you’ll do so randomly.

Instead, you need to turn your work hours into measurable progress.

You need to be very deliberate with how you allocate your time.

Once you decide on the order in which you will write your chapters, continue breaking them down into smaller chunks.

This will allow you to set up specific goals for every block of time you have.

Instead of inserting “work on thesis” into your calendar, insert measurable goals like “finish Figure 1” or “write two pages of Chapter 2.”

7. Write In Very Short Bursts

Writing in several short bursts is more efficient than writing in a few, long extended periods of time.

If you ever tried to write for several hours in a row, you may have noticed that your concentration becomes weaker after about 45-60 minutes.

Writing requires creativity, and it is difficult to sustain your focus for several hours in a row over the course of months (or even years) until you finish your thesis.

If you have a 3-4-hour block of time in your calendar, resist the temptation to glue yourself to the chair for the entire period.

You’re only fooling yourself if you think that more hours of writing leads to more progress.

Instead, break up your writing time into short blocks with rest periods in between.

I suggest alternating 45 minutes of writing with 15 minutes of rest.

These rest periods are crucial. Many students get sudden insights when they are away from their desks and they become more efficient when they return to work.

Turn off your email and phone alerts when you’re writing.

Don’t be tempted to check these updates during the rest periods. It’s far too easy for an update to distract you from your work and derail your next writing period.

Bad writing habits are tough to break. If you try to eliminate your bad habits overnight, your brain and body might rebel against you. A better strategy is to change your habits slowly and one at a time. Don’t take on all 7 of the above thesis writing guidelines at once . Instead, take on one, complete it or master it, and then move on to the next tip. The toughest part of writing is the beginning. The sooner you start writing your thesis, the easier writing it becomes . A good writer is not someone who never struggles, but someone who keeps writing even when they’re struggling.

If you’re ready to start your transition into industry, you can apply to book a free Transition Call with our founder Isaiah Hankel, PhD or one of our Transition Specialists.  Apply to book a Transition Call here.

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Hi, I'm Isaiah Hankel, PhD

I am CEO of Cheeky Scientist, the world's premier career training platform for PhDs. If you want free insights on resumes, LinkedIn, interviewing, careers and more, just enter your details below.

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write a dissertation in 2 weeks

ABOUT DORA FARKAS, PHD

Dora Farkas received her Ph.D. from MIT in the Department of Biological Engineering and worked for several years in the pharmaceutical industry as a Senior Scientist. Dora is a thesis and career coach and the founder of the online Finish Your Thesis Program & Community, which has helped hundreds of graduate students finish their thesis.

Dora Farkas, PhD

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Write Your Thesis in 2 Weeks: Effective Strategies for Short-Term Thesis Completion

Write Your Thesis in 2 Weeks: Effective Strategies for Short-Term Thesis Completion

Embarking on the journey to write a thesis in just two weeks can be a daunting task, but with the right strategies and a solid plan, it is possible to complete this academic milestone successfully. This article provides a comprehensive guide to effective short-term thesis completion, offering practical advice on everything from laying the groundwork and managing time, to writing, revising, and preparing for submission. By following these strategies, students can navigate the intensive process with confidence and efficiency.

Key Takeaways

Develop a clear understanding of thesis expectations and requirements to ensure a focused approach to research and writing.

Create a detailed work plan and schedule, breaking down the thesis into manageable tasks with strict deadlines to maximize productivity.

Leverage time management tools and techniques to prioritize tasks effectively, and organize research materials for easy access and use.

Implement a robust drafting and revision process, incorporating feedback and peer review to enhance the quality of the thesis.

Understand the submission process, including formatting and defense preparation, to ensure a smooth completion and transition to post-submission stages.

Laying the Groundwork for Your Thesis

Understanding the expectations and requirements.

Before diving into the thesis writing process, it's crucial to grasp the full scope of expectations and requirements . This involves a comprehensive understanding of the academic standards and the specific guidelines set by your institution. Begin by reviewing the official requirements, which often include the expected structure, citation style, and the level of analysis or argumentation required.

To ensure you're on the right track, consider the following points:

The importance of integrating quantitative evidence and sophisticated arguments.

The necessity for information and technological literacy.

Familiarity with various formats for presenting your arguments, such as words, tables, or graphs.

Remember, a well-defined thesis is not just about the content; it's also about presenting it in a way that aligns with academic conventions and expectations.

Lastly, don't overlook the practical aspects of thesis preparation, such as understanding funding needs, proposal organization, and the timeline for completing each section of your work. These elements are just as critical as the intellectual components of your thesis.

Developing a Clear Thesis Statement

A clear thesis statement is the backbone of any compelling thesis. It should present your main argument straightforwardly , serving as a guide for both you and your readers. To ensure clarity and focus, your thesis statement should address a particular aspect of your topic, avoiding vagueness and over-generalization.

When crafting your thesis statement, consider the following steps:

Identify the core question your thesis aims to answer.

Reflect on the specific angle or perspective you bring to the topic.

Condense your argument into a single, concise sentence.

Test the specificity and clarity of your statement by asking for feedback.

Remember, a well-developed thesis statement not only provides direction for your research but also sets the stage for a persuasive and coherent argument.

Refining your thesis statement may require several iterations. Be prepared to revise it as your understanding of the topic deepens and as you receive input from advisors and peers.

Creating a Detailed Work Plan and Schedule

A well-structured work plan and schedule are crucial for the successful completion of your thesis within the ambitious timeframe of two weeks. Start by establishing a working schedule that includes daily goals and benchmarks to measure your progress. This will help you stay on track and adjust your plan as needed when you encounter obstacles.

Week 1-2 : Initial Research and Topic Refinement

Week 3-4 : Literature Review and Methodology Outline

Week 5-6 : Data Collection and Analysis

Week 7 : Drafting the Thesis Introduction

Week 8-9 : Writing the Main Body (Chapters/Sections)

Week 10-11 : Conclusion and Abstract

Week 12-13 : Revision and Peer Review

Week 14 : Final Edits and Formatting

Anticipate difficulties and be prepared to work with them. It's essential to remain flexible and adapt your schedule to the evolving nature of your research. Regularly assess your progress against the established benchmarks and adjust your plan accordingly.

Remember, the key to a successful short-term thesis completion is not just hard work, but also smart planning. By breaking down your tasks into manageable chunks and setting clear deadlines, you can maintain a steady pace and avoid last-minute panic.

Mastering Time Management and Organization

Prioritizing tasks and setting realistic deadlines.

To write your thesis in a mere two weeks, prioritizing tasks and setting realistic deadlines is crucial. Begin by identifying the most critical components of your thesis and allocate more time to these areas. Break down your thesis into smaller, manageable tasks and set deadlines for each. This approach ensures that you make consistent progress and don't become overwhelmed by the enormity of the project.

Week 1: Research and Outline

Week 2: Drafting and Revising

Remember, the key is to stay on track with the deadlines you set for yourself. Adjust your schedule as needed, but always aim to meet or beat your deadlines to maintain momentum.

By setting intermediate deadlines for each task, you create a sense of urgency and accountability, which can significantly enhance your focus and productivity.

Utilize the academic calendar to your advantage, as students are generally responsive to structured schedules. Incorporate weekly goals that align with your thesis milestones, ensuring that each week brings you closer to completion.

Utilizing Time Management Tools and Techniques

In the race against the clock to complete your thesis, embracing effective time management tools is crucial . One such technique is the Pomodoro Technique , which involves setting a timer for focused writing bursts followed by short breaks, enhancing your creativity and productivity.

To systematically apply time management strategies, consider the following steps:

Embrace the Pomodoro Technique: Set a timer for focused writing bursts, then take short breaks.

Align with the academic calendar: Utilize inherent planning tools and respond to assignment deadlines.

Break down your thesis into subtopics: Treat each as an individual assignment to make consistent progress.

Remember, the key to effective time management is not just the tools you use, but also the consistency with which you apply them.

While tools like the Pomodoro Technique can boost focus and efficiency, integrating these strategies into a structured schedule can compound their effectiveness. By aligning with the academic calendar and treating each section of your thesis as a separate milestone, you can maintain momentum and stay on track.

Organizing Research and Resources Efficiently

Efficient organization of research and resources is pivotal for the successful completion of your thesis within a tight timeframe. Develop a systematic approach to managing your information, ensuring that everything you need is easily accessible and logically structured. Start by categorizing your resources into relevant topics and subtopics.

Similar articles

Cited by other articles

Links to NCBI Databases

Use tools like reference management software to keep track of your citations and bibliographies. For instance, EndNote 20 can streamline the process of organizing your literature review and managing your references. Additionally, consider using software like G*Power for statistical analysis planning, such as determining appropriate sample sizes.

By maintaining a clear and organized workspace, both physically and digitally, you can minimize distractions and enhance your focus, leading to more productive writing sessions.

Writing and Revising Your Thesis

Drafting your thesis with focus and efficiency.

When the time comes to draft your thesis , efficiency and focus are paramount. Begin by breaking down the thesis into manageable sections, each with a specific goal. This approach not only simplifies the writing process but also helps maintain a clear direction throughout your work.

Outline each chapter before writing.

Allocate time slots for each section.

Set daily goals for word count or pages.

Remember, the quality of your draft is as important as the pace at which you write. Aim for clarity and conciseness in your initial drafts to facilitate easier revisions later on.

Utilize the feedback from your advisors and peers to refine your draft. Incorporate their insights to strengthen your arguments and ensure that your thesis meets the required academic standards. By staying organized and adhering to your schedule, you can produce a comprehensive and well-argued thesis within the two-week timeframe.

Incorporating Feedback and Peer Review

Once you have a draft of your thesis, it's crucial to engage in the peer review process. Peer review acts as a critical checkpoint before finalizing your document. It's a time to receive constructive criticism and to view your work from a fresh perspective. To make the most of this phase, follow these steps:

Complete a second reading of your peer's draft to identify strengths and weaknesses.

Make comments on the margins, focusing on areas that can be improved.

Discuss potential problems and alternative strategies with your peers.

Incorporate changes into your draft based on the feedback received.

Remember, the goal of peer review is not to rewrite your thesis but to refine it. It's about polishing your work and ensuring clarity, coherence, and scholarly rigor.

After incorporating the initial round of feedback, consider seeking additional insights from faculty members or experts in your field. This can be done during later stages of the review process, where more specialized advice can be invaluable. Use the feedback to revise your grant proposals or thesis chapters, and prepare for subsequent discussions or presentations.

Strategies for Effective Revision and Editing

Effective revision and editing are crucial for refining your thesis and ensuring clarity and coherence. Develop a systematic approach to revising each section of your thesis to maintain a consistent quality throughout. Start by addressing the larger structural issues before focusing on sentence-level details.

Review the organization of your chapters and sections for logical flow.

Check for clarity in your arguments and the relevance of your data.

Ensure that your writing is concise and free of jargon.

Correct grammatical errors and check for proper citation formatting.

Remember, revision is not just about correcting mistakes, but also about enhancing the strength of your argument and the overall readability of your thesis.

Incorporate feedback from peers and advisors diligently. They can provide valuable insights that you might have missed. Use their comments to guide your revisions and consider creating a checklist to track changes.

Lastly, allow time for multiple rounds of editing. A rushed job can overlook subtle errors and weaken your thesis. Patience and attention to detail during this phase will pay off in the quality of your final submission.

Overcoming Common Obstacles

Addressing procrastination and motivation issues.

Procrastination and waning motivation are frequent challenges in the thesis writing process. Stay aware of your motivation levels and take proactive steps to rejuvenate them, ensuring you avoid burnout and maintain a steady workflow. To combat procrastination, consider the following strategies:

Break down your thesis into smaller, manageable tasks.

Set clear, achievable goals for each writing session.

Reward yourself for meeting targets to maintain motivation.

Use productivity tools to track progress and stay focused.

Remember, consistency is key. Regular short sessions are often more productive than irregular, lengthy ones.

It's also beneficial to understand that motivation fluctuates and it's normal to have periods of lower productivity. During these times, it's crucial to adjust your schedule and tasks to accommodate your current state, rather than forcing an unrealistic pace.

Managing Performance Anxiety and Stress

Completing a thesis in a short timeframe can often lead to heightened performance anxiety and stress . It's crucial to acknowledge these feelings and address them proactively. Here are some strategies to help manage stress during this intense period:

Recognize the signs of stress early and take action.

Break down tasks into manageable chunks to avoid feeling overwhelmed.

Engage in regular physical activity to reduce tension.

Ensure adequate sleep and nutrition to maintain energy levels.

Practice relaxation techniques such as deep breathing or meditation.

Remember, managing stress is not about eliminating it completely but learning to cope with it effectively. By incorporating stress management techniques into your daily routine, you can maintain a healthier state of mind and improve your overall productivity.

Additionally, workshops and support groups, like those offered by Counseling and Psychological Services (CAPS), can provide valuable skills and community support. For instance, CAPS' weekly sessions on topics such as 'Managing Performance/Test Anxiety' and 'Confidence Boost' can be instrumental in building resilience.

Staying Consistent and Maintaining Confidence

Maintaining a consistent work ethic and keeping your confidence high are crucial for the successful completion of your thesis in a short timeframe. Developing a routine and sticking to it can help you stay on track and avoid the pitfalls of procrastination. Regularly review your progress and adjust your schedule as needed to ensure you are meeting your goals.

Week 6: Confidence Boost

Week 7: Creating Consistency

These steps, as part of a structured program, can significantly aid in building the confidence and consistency needed for your thesis journey. Qualitatively, participants in similar programs have reported a notable increase in confidence and motivation, which can be attributed to the structured guidance and mentorship provided.

Remember, the journey of thesis writing is not just about the end product but also about the personal growth and empowerment you experience along the way.

Finally, make the most of your thesis supervision . Manage feedback effectively, plan your meetings strategically, and navigate any challenges with resilience. This approach will not only help you maintain consistency but also bolster your confidence throughout the thesis writing process.

Final Preparations and Submission

Formatting and preparing your thesis for defense.

As you approach the final stages of your thesis journey, formatting and preparing your thesis for defense becomes crucial. The visual presentation of your work should not be underestimated; it reflects the quality and professionalism of your research. To ensure your thesis meets the required standards, consult the comprehensive guidelines provided on the 'Preparing to Graduate' page, and familiarize yourself with the submission timeline available on the GEPA Dissertation/Thesis Submission page.

Start by reviewing the formatting guidelines specific to your institution.

Gather all necessary co-author permission letters if applicable.

Attend webinars and workshops, like the 'SPRING GRAD DISSERTATION/THESIS SUBMISSION & FORMATTING WEBINAR', to gain insights into the submission process and formatting nuances.

Remember, the earlier you start preparing the formatting of your thesis, the smoother the process will be. Proactive preparation can prevent last-minute hurdles and ensure you meet all submission deadlines.

Incorporate the advice from the PhD Dissertation Defense Slides Design : show why your study is important, emphasize your contribution, connect your projects, and tell a compelling story. Keep your slides concise to maintain the attention and interest of your audience.

Understanding Submission Deadlines and Requirements

Meeting the submission deadlines for your thesis is crucial to ensure a smooth completion process. Different institutions have varying deadlines, often tied to the end of the academic semester or specific dates within the subsequent semester. For instance, the Cornell Graduate School policy requires the thesis to be submitted within 60 days of the final exam.

It's essential to familiarize yourself with the specific deadlines and requirements of your institution. Full details are typically available on the graduate school's website, along with resources such as webinars and FAQs to guide you through the process.

To avoid any last-minute hurdles, here's a checklist to keep in mind:

Confirm the final submission date and time for your thesis.

Ensure that you have completed all necessary forms and applications by the due date.

Attend any mandatory submission and formatting webinars offered by your institution.

Schedule preliminary and final review appointments if required.

Remember, adhering to these guidelines is not just about meeting a deadline; it's about respecting the process and giving your work the professional presentation it deserves.

Post-Submission: What to Expect and Next Steps

After the submission of your thesis , a period of waiting begins. It's essential to understand what comes next and how to navigate the post-submission phase. Here's what you can generally expect:

Review and Feedback : Your thesis will undergo a review process, which may involve peer feedback. This is a critical time to be receptive to constructive criticism and ready to make necessary revisions.

Timeline Awareness : Be aware of the timeline for responses from your committee or funding agencies. Deadlines for submission often coincide with the end of the semester, but responses may come in the subsequent semester.

Preparation for Defense : If your program requires it, begin preparing for your thesis defense. This includes understanding the format, anticipating questions, and rehearsing your presentation.

Remember, the submission is not the end of your journey. Use this time to reflect on your work, consider potential improvements, and prepare for the next steps in your academic or professional career.

Finally, stay informed about the formalities. Full information on submission and formatting is typically available on your institution's 'Preparing to Graduate' page. A detailed timeline for the process can also be found on the relevant submission page. Keep these resources handy to ensure you meet all post-submission requirements.

In conclusion, writing your thesis in just two weeks is an ambitious endeavor that requires meticulous planning, unwavering dedication, and effective time management. By leveraging the strategies discussed in this article, such as setting clear goals, maintaining motivation, utilizing procrastination tools, and managing performance anxiety, you can navigate the intense period of thesis completion with confidence. Remember, consistency and well-being are crucial to sustaining focus and producing quality work under tight deadlines. While this guide provides a structured approach, it's important to tailor these strategies to your individual needs and circumstances. With the right mindset and tools, you can transform the daunting task of short-term thesis completion into a successful academic achievement.

Frequently Asked Questions

Can i attend thesis preparation workshops if i'm defending in a future quarter.

Yes, attending thesis preparation workshops earlier can be beneficial for understanding the formatting and organization of your thesis or dissertation.

Is it possible to incorporate peer review feedback into my thesis within the two-week timeframe?

Yes, allocating specific time for incorporating peer review feedback into your schedule is crucial and can be managed within two weeks with focused effort.

How can a course-based approach assist in meeting thesis submission deadlines?

A course-based approach provides structure, sets intermediate deadlines, and integrates time management tools that align with academic calendars, aiding in timely completion.

Can I schedule a preliminary appointment for my thesis defense early on?

It is not recommended to schedule a preliminary appointment too early. It is more beneficial to have a complete and formatted thesis/dissertation before the appointment.

What are the deadlines for submitting my dissertation or thesis?

Submission deadlines vary by institution, but it's essential to understand and adhere to these deadlines well in advance to ensure timely submission.

How can I manage time effectively while writing my thesis in such a short period?

Utilize time management tools, create a detailed work plan with daily goals, and prioritize tasks to focus on the most critical aspects of your thesis first.

How to Start a Capstone Project: Essential Steps for Success

How to start your senior thesis: a complete guide, transforming a research question to thesis statement: a step-by-step approach, crafting effective literature review research questions: a comprehensive guide, effective ways to manage thesis stress for a smoother academic journey.

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Can I Write A Dissertation In Two Weeks? (Quick Answer)

Author Image

by  Antony W

June 6, 2024

can you write a dissertation in two weeks

Imagine this:

Your dissertation is due in about 14 days. It’s 8,000 to 10,000 words long assignment and you haven’t written even a single word yet.

You know you should have started sooner, but the year has been quite tough for you. What do you do? Is two weeks even enough to write a dissertation this long?

You can write and complete a dissertation in two weeks if you dedicate yourself to working on it every day. Provided you’ve done your research and you already know what you want to talk about, it should be easy to put the words down.

You don’t have to fret if you seem already late with the project.

Sometimes being paranoid and scared of what would happen now that you’re running out of time can easily result in a writer’s block ,  which can make it even more difficult to complete your work.

In this guide, we give you some tips that you can use to complete your dissertation in just 14 days.

How to Write a Dissertation in 14 Days

1. start with proper planning.

The best way to write a comprehensive dissertation in two weeks is to write down a plan first.

Students who write 2,000 words in one sitting do so because they’ve mapped out their plans in a way that allows them to achieve such major milestones.

In your plan, determine what you need to include in the assignment, the right order to include them, and the number of words for each section.

Spend at most 4 days doing further research and reading, and then the next 5 to 7 days writing 1,000 to 2,000 words a day.

Make sure you’re sticking to the plan from the first to the very last day. Two weeks is a short time, so you can’t have time for procrastination in your plan.

With a high degree of discipline, it should be easy for you to use the plan to write the entire dissertation within the limited period.

2. Write Every Day and In Bits

The golden rule to getting a 10,000 to a 15,000-word dissertation completed in just 14 days or less is to write every day and do so in bits.

Rather than trying to write 4,000 words or more once, try to limit yourself to completing 2,000 words a day without fail.

You will need effective study habits   to get this done in good time. That means writing in a space free from distraction so you can meet your daily target.

If you can’t focus in your room, for example, go to the park, local library, or school library and write from there.

If your director or supervisor expects you to complete a 10,000-word dissertation, and you limit yourself to writing 2,000 words a day, you’ll finish writing in just 5 days.

That means you’ll have at least another full week to proofread, edit, and crosscheck your work for clarity, authenticity, and comprehensiveness.

There are days when you won’t hit the 2,000 words mark, and that’s completely fine, especially if you can write half that word limit.

The key thing here is to develop the habit of writing every day and, in the end, still have enough time left to do your editing. 

3. Write Section by Section

Two weeks is a limited time to write a dissertation fast. So you have to lay the foundation early after research to complete the project in good time.

Lay out each section and heading of the assignment, starting with the question, followed by objectives, and then the layout.

The layout of your dissertation should be as follows, exactly in the order presented below:

  • Introduction
  • Literature review
  • Methodology
  • Discussion and analysis
  • Limitations
  • Conclusions
  • Recommendations
  • Bibliography

Laying out your assignment in sections simplifies the project, especially since it allows you to add content with ease as you continue to write.

It even helps to break the monotony of sitting through hours of writing because you can focus on another section when you feel lost in one.

There’s no specific formula for writing each section, except to make sure you spent at least an hour in each section.

As long as you’ve done prior research and you know exactly what you’d like to say, this shouldn’t be a problem at all.

Frequently Asked Questions

1. what is the hardest part of working on a dissertation .

The hardest part of working on a dissertation assignment is the literature review section.

It’s also the most important part of the project that should take most of your time to research and write.

Be sure to check out our guide on how to write a literature review   if you need a refresher.

2. How many words should a dissertation have?

While there are several factors that determine the length of a dissertation ,  the assignment can be between 8,000and 15,000 words long.

Check with your director or supervisor to be sure of the expected word count because some programs have a variation in word count.

3. How many hours should you spend on a dissertation?

The answer to this question really isn’t black and white. In other words, how much you spend writing your dissertation depends on when you started working on the project.

If you’ve done in-depth research early and you already know what you want to write down, spending at least 4 hours a day working on the assignment can get you to finish the work in the shortest time possible.

Assuming you write 2,000 words every day, you should take about 10 days to complete your dissertation. 

Final Thoughts

There’s more to writing a dissertation than meeting the number of works. You have to research your topic thoroughly and make sure you get the structure and flow of the assignment right. 

Remember that you have a limited time already, so you cannot afford the luxury of procrastination.

Every day you delay brings you closer to failing the dissertation and missing the doctorate degree.

So spend a lot of your time researching, writing, and consulting until you get the work done. 

Don’t hesitate to ask for assistance if you feel stuck somewhere along the way. The team at Help for Assessment to guide you in any way you need.

Also, you can hire our dissertation writing service to get a team to work along with you so you get your dissertation completed within the 14-day period.

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

How to write a whole research paper in a week

write a dissertation in 2 weeks

Writing up a full research article in a single week? Maybe you think that’s impossible. Yet I have done it repeatedly, and so have students in my courses. This is an exceptionally joyful (even if demanding) experience: being so productive just feels great! You are not wasting any time, and a paper produced in one go is typically coherent and nice to read. Even if you are a slow writer, you can write a whole paper in a single week — if you follow my strategy. Read below about what you need to prepare and how to approach this project.

I wrote my first scientific research article in 7 days. It started as a desperate effort to stop my procrastination and “just do it”. But I was surprised what a positive experience it was: focused and efficient, I was making daily progress, feeling motivated and content. Finally, the fruits of my hard work were gaining shape — and they did it so quickly!

I realized it was highly effective to write up a paper like this: writing for the whole day, every day until the first draft was finished. My writing project was firmly present in my mind — I didn’t lose time catching up with what I have written in the last session. Since I was not doing anything else, my wandering mind settled in very fast, and I was getting into a routine. The daily progress was clearly visible and motivated me to continue. And the result was a coherent paper that was easy to revise.

Meanwhile, this paper-a-week approach is my favorite. That’s how I write my papers, and that’s what I teach to students. In on-site courses young scientists draft a whole paper in 5 days, writing one major section per day. At the beginning of the week, many participants have doubts. But at the end of the week, they are all excited to see how much they managed to write in just a single week.

If you would also like to try out this approach, then read on about the necessary preparations, the optimal setting, and a productive writing strategy.

If you would like to get support during the preparation, drafting and revising of your research article, check out my online course Write Up Your Paper .

Prepare well

write a dissertation in 2 weeks

  • First, think about your audience and pick a suitable journal . This is an important step because the audience and journal determine the content & style of your paper. As a reference, pick two recent papers on a similar topic published in your target journal.
  • Create a storyline for your paper. What is the main message you want to convey, and how are you going to present your results?
  • Put together all the results that you need to present your story convincingly: collect the necessary data, finish analyses, and create figures and tables.
  • Select and read the relevant background literature as well as studies you want to compare your work with. As you read, note down any point that comes to your mind as something to be mentioned in the Introduction or Discussion section.
  • Draft a preliminary Abstract : it will help you keep the direction and not get distracted by secondary ideas as you write the individual sections.

Depending on how complete your results already are, you might need 2-4 weeks to finish all these preparations. To help you keep an overview, I created a checklist with detailed steps that you need to take before you attempt to write up your paper in a week. Subscribe to our Newsletter and get your copy of the checklist.

Reserve a whole week for writing

Now, writing a paper in a single week is a serious business. You can’t do it if you don’t focus solely on the writing and create good writing conditions. Therefore, I recommend the following settings:

  • Find a place where you can write without distractions. I have written my first paper over the Easter holidays when there was nobody in the office. You might choose to write at home or in a library. Though if possible, the best is to go for a retreat: removing yourself from your everyday settings immensely helps focus on the writing.
  • Cancel (all) social obligations for the week. While it’s crucial to relax in the evening, you want to avoid disturbances associated with social events. Anything that makes your thoughts drift away from your work because it requires planning, exchanging of messages with others, or simply because it’s too exciting is better left for some other week. On the other hand, a quiet meeting with a good friend over a glass of wine or beer might be just the perfect way to unwind and rest after a productive, yet exhausting day of writing.
  • Get support from the partner, family or friends — if possible. It’s best when you don’t need to run errands, cook and clean during this week. If you live alone, you can probably easily arrange yourself for undisturbed work. If you live with other people, ask them for consideration and support.

What I described above are the *ideal* conditions for undisturbed writing. But don’t give up if you can’t create such conditions for yourself. Work with what is possible — maybe it will take you 7-8 instead of 5-6 days but that’s still a great result, right?

Do you need to revise & polish your manuscript or thesis but don’t know where to begin?

Get your Revision Checklist

Click here for an efficient step-by-step revision of your scientific texts.

Maybe you think that you can never ever draft a research article in a single week. Because you write so slowly, producing only few paragraphs per day. Well — I agree that if you don’t optimize your writing strategy, it would be hard to impossible to write up a whole paper in a week.

write a dissertation in 2 weeks

  • Separate the processes of writing and revising. That’s the most important principle. Resist the urge to revise as you write the first draft. Moreover, don’t interrupt your writing to look up missing information. Work with placeholders instead. This allows you to get into the state of flow and proceed much faster than you can imagine.
  • Start your writing day with 10 minutes of freewriting . Write without stopping about anything that comes to your mind. This helps you to warm up for writing, clear your head of any unrelated thoughts, and get into the mood of writing without editing.
  • Take regular power breaks. I recommend to follow the Pomodoro technique : write for 25 minutes and then take a 5-minute break. After 3-4 such sessions take a longer break of 0.5-1 hour. During the breaks get up, walk a bit, stretch, look around, and breathe deeply. These breaks help you sustain high focus and productivity throughout the whole day.
  • Eat and sleep well. What you are doing is similar to a professional athlete. So take care of your brain and body, and they will serve you well.
  • Reward yourself. Every day celebrate the progress you have made. You have full right to be proud of you!

Write the individual sections in a reasonable order

If you have written a research paper before, you have probably realized that starting with the Introduction and finishing with the Discussion is not the ideal order in which to tackle the individual sections. Instead, I recommend the following procedure:

write a dissertation in 2 weeks

  • Start with the Methods section. This is the easiest section to write, so it’s great as a warm-up, to get into writing without the need to think (and procrastinate ;)) too much. Look at your figures and tables: what methods did you use to create them? Then describe your methods, one after another.
  • Results section: Writing the Methods section refreshes your memory about the research you have done. So writing the Results section next should not be too hard: Take one display object (figure or table) after another, and describe the results they contain. While you do so, you will come across points that need to be discussed in the Discussion section. Note them down so you don’t forget them.
  • Introduction : When your results are fresh in your mind, you are in a great position to write the Introduction — because the Introduction should contain selected information that gives the reader context for your research project and allows them to understand your results and their implications.
  • Discussion : When you have taken notes while writing the Results section, the Discussion section should be quite easy to draft. Don’t worry too early about the order in which you want to discuss the individual points. Write one paragraph for each point , and then see how you can logically arrange them.
  • Abstract and title : On the last day, revise the preliminary Abstract or write a new one. You could also take a break of a few days before tackling the Abstract, to gain clarity and distance. Generate multiple titles (I recommend 6-10), so that you and your co-authors can choose the most appropriate one.

Just do it!

write a dissertation in 2 weeks

Once you have written the whole draft, let it sit for a week or two, and then revise it. Follow my tips for efficient revising and get your revision checklist that will guide you step-by-step through the whole process.

Now I am curious about your experience: Have you ever written up an academic article quickly? How did you do it? Please, share with us your tips & strategies!

Are you putting off the work on your manuscript? Writing a research paper doesn’t have to be a long and tedious process. Join our online program and get support & guidance to

Write Up Your Paper THIS SUMMER

Check it out This course is relevant for you if your research belongs to natural & life sciences, other STEM fields or quantitative social sciences. Registration deadline: July 01, 2024

7 thoughts on “ How to write a whole research paper in a week ”

Thank for your guide and suggestion. It gives to me very precious ways how to write a article. Now I am writing a article related to Buddhist studies. Thank you so much.

You are welcome!

excellent! it helped me a lot! wish you all best

Hi Parham, I’m happy to hear that!

I have never written any paper before. As I am from very old school.

But my writing skill is actually very good. Your help is definitely going to help me as this has inspired me alot. Will let you know, once done. I really like the outline that you have given. Basically you have made it so easy for me .

Hope fully will be in touch with you soon.

Thanks and ki d Regards, Shehla

Dear Shehla, that sounds great! I’m looking forward to hearing about your paper!

Comments are closed.

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How To Write A Dissertation Or Thesis

8 straightforward steps to craft an a-grade dissertation.

By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020

Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.  

In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.

How To Write A Dissertation: 8 Steps

  • Clearly understand what a dissertation (or thesis) is
  • Find a unique and valuable research topic
  • Craft a convincing research proposal
  • Write up a strong introduction chapter
  • Review the existing literature and compile a literature review
  • Design a rigorous research strategy and undertake your own research
  • Present the findings of your research
  • Draw a conclusion and discuss the implications

Start writing your dissertation

Step 1: Understand exactly what a dissertation is

This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.

So, what is a dissertation?

At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:

  • Ask a very specific, well-articulated question (s) (your research topic)
  • See what other researchers have said about it (if they’ve already answered it)
  • If they haven’t answered it adequately, undertake your own data collection and analysis in a scientifically rigorous fashion
  • Answer your original question(s), based on your analysis findings

 A dissertation or thesis is a formal piece of research, reflecting the standard four step academic research process.

In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:

  • Started with a vague, poorly articulated question
  • Not taken the time to see what research has already been done regarding the question
  • Collected data and opinions that support their gut and undertaken a flimsy analysis
  • Drawn a shaky conclusion, based on that analysis

If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.

The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.

If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!

 A dissertation is not an opinion piece, nor a place to push your agenda or try to  convince someone of your position.

Step 2: Find a unique, valuable research topic

As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…

A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:

Let’s take a closer look at these:

Attribute #1: Clear

Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.

Here’s an example of a clearly articulated research topic:

An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.

As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).

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Attribute #2:   Unique

Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).

For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.

One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.

Attribute #3: Important

Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.

For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.

So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊

Step 3: Write a convincing research proposal

Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.

So, what’s in a research proposal?

The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:

  • You have a clearly articulated, unique and important topic (this might sound familiar…)
  • You’ve done some initial reading of the existing literature relevant to your topic (i.e. a literature review)
  • You have a provisional plan in terms of how you will collect data and analyse it (i.e. a methodology)

At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).

Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .

So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .

Step 4: Craft a strong introduction chapter

Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.

Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.

What’s the introduction chapter all about?

The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.

What goes into the introduction chapter?

This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:

  • A brief background to the study, explaining the overall area of research
  • A problem statement , explaining what the problem is with the current state of research (in other words, where the knowledge gap exists)
  • Your research questions – in other words, the specific questions your study will seek to answer (based on the knowledge gap)
  • The significance of your study – in other words, why it’s important and how its findings will be useful in the world

As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.

How do I write the introduction chapter, you ask? We cover that in detail in this post .

The introduction chapter is where you set the scene for your research, detailing exactly what you’ll be researching and why it’s important.

Step 5: Undertake an in-depth literature review

As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.

What’s the literature review all about?

There are two main stages in the literature review process:

Literature Review Step 1: Reading up

The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.

Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .

Dissertation Coaching

Literature Review Step 2: Writing up

Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:

  • You need to synthesise the existing research , not just summarise it. In other words, you need to show how different pieces of theory fit together, what’s agreed on by researchers, what’s not.
  • You need to highlight a research gap that your research is going to fill. In other words, you’ve got to outline the problem so that your research topic can provide a solution.
  • You need to use the existing research to inform your methodology and approach to your own research design. For example, you might use questions or Likert scales from previous studies in your your own survey design .

As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .

But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .

Step 6: Carry out your own research

Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.

There are two steps here – designing your research strategy and executing on it:

1 – Design your research strategy

The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.

In this section, you’ll need to make firm decisions about your research design. This includes things like:

  • Your research philosophy (e.g. positivism or interpretivism )
  • Your overall methodology (e.g. qualitative , quantitative or mixed methods)
  • Your data collection strategy (e.g. interviews , focus groups, surveys)
  • Your data analysis strategy (e.g. content analysis , correlation analysis, regression)

If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.

2 – Execute: Collect and analyse your data

Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.

Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:

  • If you carry out interviews or focus groups, you’ll need to transcribe your audio data to text (i.e. a Word document).
  • If you collect quantitative survey data, you’ll need to clean up your data and get it into the right format for whichever analysis software you use (for example, SPSS, R or STATA).

Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.

The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:

  • If your research if exploratory in nature, you’ll often use qualitative analysis techniques .
  • If your research is confirmatory in nature, you’ll often use quantitative analysis techniques
  • If your research involves a mix of both, you might use a mixed methods approach

Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.

The research philosophy is at the core of the methodology chapter

Step 7: Present your findings

Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .

What’s the difference between the results chapter and the discussion chapter?

While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling  – in other words, it provides your interpretation of the results.

For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:

  • Your results chapter would just present the results of the statistical tests. For example, correlation results or differences between groups. In other words, the processed numbers.
  • Your discussion chapter would explain what the numbers mean in relation to your research question(s). For example, Factor 1 has a weak relationship with consumer trust, while Factor 2 has a strong relationship.

Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.

Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).

For example, if we look at the sample research topic:

In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .

Your discussion here needs to link back to your research questions. It needs to answer the key questions you asked in your introduction.

For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .

Step 8: The Final Step Draw a conclusion and discuss the implications

Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.

What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.

Sticking with the consumer trust topic example, the conclusion might look something like this:

Key findings

This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:

While the following factors have a very limited impact on consumer trust:

Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…

Implications

The findings having noteworthy implications for British low-cost online equity brokers. Specifically:

The large impact of Factors X and Y implies that brokers need to consider….

The limited impact of Factor E implies that brokers need to…

As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.

In the final chapter, you’ll bring your research full circle by highlighting the key findings of your study and the implications thereof.

Let’s recap – how to write a dissertation or thesis

You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.

To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:

  • Understand what a dissertation (or thesis) is – a research project that follows the research process.
  • Find a unique (original) and important research topic
  • Craft a convincing dissertation or thesis research proposal
  • Write a clear, compelling introduction chapter
  • Undertake a thorough review of the existing research and write up a literature review
  • Undertake your own research
  • Present and interpret your findings

Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.  

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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20 Comments

Romia

thankfull >>>this is very useful

Madhu

Thank you, it was really helpful

Elhadi Abdelrahim

unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.

Derek Jansen

Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.

Writer

This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.

Sam

Very rich presentation. Thank you

Hailu

Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!

Nunurayi Tambala

Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation

Hussein Huwail

It is an amazing comprehensive explanation

Eva

This was straightforward. Thank you!

Ken

I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.

Thanks for the feedback and suggestions 🙂

Osasuyi Blessing

Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*

Dung Doh

Very educating.

Ezra Daniel

Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.

Nice Edinam Hoyah

Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.

Sehauli

thank you so much, that was so useful

Daniel Madsen

Hi. Where is the excel spread sheet ark?

Emmanuel kKoko

could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification

my topic is “the impact of domestic revenue mobilization.

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Frequently asked questions

How long does it take to write a dissertation.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

  • Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
  • Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

  • To familiarise yourself with the current state of knowledge on your topic
  • To ensure that you’re not just repeating what others have already done
  • To identify gaps in knowledge and unresolved problems that your research can address
  • To develop your theoretical framework and methodology
  • To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

Harvard style Vancouver style
In-text citation Each referencing style has different rules (Pears and Shields, 2019). Each referencing style has different rules (1).
Reference list Pears, R. and Shields, G. (2019). . 11th edn. London: MacMillan. 1. Pears R, Shields G. Cite them right: The essential referencing guide. 11th ed. London: MacMillan; 2019.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

In-text citation Reference list
1 author (Smith, 2014) Smith, T. (2014) …
2 authors (Smith and Jones, 2014) Smith, T. and Jones, F. (2014) …
3 authors (Smith, Jones and Davies, 2014) Smith, T., Jones, F. and Davies, S. (2014) …
4+ authors (Smith , 2014) Smith, T. (2014) …

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Number of authors Footnote example Bibliography example
1 author David Smith Smith, David
2 authors David Smith and Hugh Jones Smith, David, and Hugh Jones
3 authors David Smith, Hugh Jones and Emily Wright Smith, David, Hugh Jones and Emily Wright
4+ authors David Smith and others Smith, David, and others

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

  • In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
  • In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

  • An undergraduate dissertation is typically 8,000–15,000 words
  • A master’s dissertation is typically 12,000–50,000 words
  • A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

  • Harvard referencing , the most commonly used style in UK universities.
  • MHRA , used in humanities subjects.
  • APA , used in the social sciences.
  • Vancouver , used in biomedicine.
  • OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

  • (Smith, 2019a)
  • (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

  • Highlight all the entries
  • Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
  • In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
  • Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

  • A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
  • A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

  • Apply heading styles throughout the document.
  • In the references section in the ribbon, locate the Table of Contents group.
  • Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
  • Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

  • In the company of
  • In the middle of
  • Surrounded by

Some synonyms and near synonyms of between  include:

  • In the space separating
  • In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

  • Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

Direct Direction
Guide Guidance
Instruct Instruction

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

  • Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
  • Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
  • Avoid accidental plagiarism with our reliable Plagiarism Checker .
  • Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

  • Write the summary entirely in your own words by   paraphrasing the author’s ideas.
  • Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

  • Copying and pasting a Wikipedia article into the body of an assignment
  • Quoting a source without including a citation
  • Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
  • Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

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The research methods you use depend on the type of data you need to answer your research question .

  • If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
  • If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
  • If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

  • Prepare and organise your data.
  • Review and explore your data.
  • Develop a data coding system.
  • Assign codes to the data.
  • Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

  • Grounded theory involves collecting data in order to develop new theories.
  • Ethnography involves immersing yourself in a group or organisation to understand its culture.
  • Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
  • Phenomenological research involves investigating phenomena through people’s lived experiences.
  • Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

  • Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
  • Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
  • Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
  • Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

  • A testable hypothesis
  • One or more independent variables that you will manipulate
  • One or more dependent variables that you will measure

When designing the experiment, first decide:

  • How your variable(s) will be manipulated
  • How you will control for any potential confounding or lurking variables
  • How many subjects you will include
  • How you will assign treatments to your subjects

There are four main types of triangulation :

  • Data triangulation : Using data from different times, spaces, and people
  • Investigator triangulation : Involving multiple researchers in collecting or analysing data
  • Theory triangulation : Using varying theoretical perspectives in your research
  • Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

  • Reduce bias that comes from using a single method, theory, or investigator
  • Enhance validity by approaching the same topic with different tools
  • Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

  • It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
  • Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

  • Only requires small samples
  • Statistically powerful
  • Removes the effects of individual differences on the outcomes

Disadvantages:

  • Internal validity threats reduce the likelihood of establishing a direct relationship between variables
  • Time-related effects, such as growth, can influence the outcomes
  • Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

  • Prevents carryover effects of learning and fatigue.
  • Shorter study duration.
  • Needs larger samples for high power.
  • Uses more resources to recruit participants, administer sessions, cover costs, etc.
  • Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

  • In single-stage sampling , you collect data from every unit within the selected clusters.
  • In double-stage sampling , you select a random sample of units from within the clusters.
  • In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

  • Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
  • Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
  • Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

  • Convergent validity : The extent to which your measure corresponds to measures of related constructs
  • Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

  • Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
  • Statistical generalisation: You use specific numbers about samples to make statements about populations.
  • Causal reasoning: You make cause-and-effect links between different things.
  • Sign reasoning: You make a conclusion about a correlational relationship between different things.
  • Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

  • Response variables (they respond to a change in another variable)
  • Outcome variables (they represent the outcome you want to measure)
  • Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

  • Explanatory variables (they explain an event or outcome)
  • Predictor variables (they can be used to predict the value of a dependent variable)
  • Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

  • If you have quantitative variables , use a scatterplot or a line graph.
  • If your response variable is categorical, use a scatterplot or a line graph.
  • If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

  • An explanatory variable is the expected cause, and it explains the results.
  • A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

  • Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
  • Experimenter effects : Unintentional actions by researchers that influence study outcomes
  • Situational variables : Eenvironmental variables that alter participants’ behaviours
  • Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

  • The type of cola – diet or regular – is the independent variable .
  • The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

  • Discrete variables represent counts (e.g., the number of objects in a collection).
  • Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

  • The  independent variable  is the amount of nutrients added to the crop field.
  • The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

  • It’s caused by the independent variable
  • It influences the dependent variable
  • When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

  • You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
  • You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

  • You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
  • You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
  • Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

  • You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
  • Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

  • You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
  • Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
  • You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
  • Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

  • Structured interviews : The questions are predetermined in both topic and order.
  • Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
  • Unstructured interviews : None of the questions are predetermined.
  • Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

  • Open-ended and flexible
  • Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
  • Unambiguous, getting straight to the point while still stimulating discussion
  • Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

  • In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
  • In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

  • A positive correlation means that both variables change in the same direction.
  • A negative correlation means that the variables change in opposite directions.
  • A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Longitudinal study Cross-sectional study
observations Observations at a in time
Observes the multiple times Observes (a ‘cross-section’) in the population
Follows in participants over time Provides of society at a given point

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

  • A control group that receives a standard treatment, a fake treatment, or no treatment
  • Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

  • Use masking (blinding) to hide the purpose of your study from all observers.
  • Triangulate your data with different data collection methods or sources.
  • Use multiple observers and ensure inter-rater reliability.
  • Train your observers to make sure data is consistently recorded between them.
  • Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

  • In a single-blind study , only the participants are blinded.
  • In a double-blind study , both participants and experimenters are blinded.
  • In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

  • First, the author submits the manuscript to the editor.
  • Reject the manuscript and send it back to author, or
  • Send it onward to the selected peer reviewer(s)
  • Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
  • Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

  • Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
  • Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

  • If there is no sampling frame available (e.g., people with a rare disease)
  • If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
  • If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

  • Reproducing research entails reanalysing the existing data in the same manner.
  • Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
  • A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
  • A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

  • Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
  • Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

  • Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

  • Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
  • Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

  • Construct validity : Does the test measure the construct it was designed to measure?
  • Face validity : Does the test appear to be suitable for its objectives ?
  • Content validity : Does the test cover all relevant parts of the construct it aims to measure.
  • Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

  • Budget constraints or any specifics of grant funding
  • Your proposed timeline and duration
  • Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
  • Any inclusion and exclusion criteria
  • Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

  • Reformulating the sentence (e.g., change active to passive , or start from a different point)
  • Combining information from multiple sentences into one
  • Leaving out information from the original that isn’t relevant to your point
  • Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

  • Paraphrasing is plagiarism if you don’t properly credit the original author.
  • Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
  • Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

  • Changing the phrasing would distort the meaning of the original text
  • You want to discuss the author’s language choices (e.g., in literary analysis )
  • You’re presenting a precise definition
  • You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

  • Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

  • The information should be up to date and current.
  • The author and publication should be a trusted authority on the subject you are researching.
  • The sources the author cited should be easy to find, clear, and unbiased.
  • For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

  • Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
  • Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
  • Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

  • To analyse the author’s language (e.g., in a literary analysis essay )
  • To give evidence from primary sources
  • To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

  • Your instructor requires one, or
  • Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

  • Your anticipated title
  • Your abstract
  • Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

  • To help potential readers determine the relevance of your paper for their own research.
  • To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

  • The abstract should focus on your original research, not on the work of others.
  • The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

  • Researchability
  • Feasibility and specificity
  • Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

  • Common nouns and proper nouns
  • Countable and uncountable nouns
  • Concrete and abstract nouns
  • Collective nouns
  • Possessive nouns
  • Attributive nouns
  • Appositive nouns
  • Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

  • In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
  • In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

  • Deception: Hide the purpose of the study from participants
  • Between-groups design : Give each participant only one independent variable treatment
  • Double-blind design : Conceal the assignment of groups from participants and yourself
  • Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

  • Provide compensation (e.g., cash or gift cards) for attending every session
  • Minimise the number of follow-ups as much as possible
  • Make all follow-ups brief, flexible, and convenient for participants
  • Send participants routine reminders to schedule follow-ups
  • Recruit more participants than you need for your sample (oversample)
  • Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

  • Attributive adjectives
  • Predicative adjectives
  • Comparative adjectives
  • Superlative adjectives
  • Coordinate adjectives
  • Appositive adjectives
  • Compound adjectives
  • Participial adjectives
  • Proper adjectives
  • Denominal adjectives
  • Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

  • Julie is better than Jesse.
  • I’d rather spend my time with you than with him.
  • I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

  • I used to do laundry once a week.
  • They used to do each other’s hair.
  • We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

Advocate Adoration
Approve of Appreciation
Endorse Praise
Support Respect

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

Advocated Adored
Approved of Appreciated
Endorsed Praised
Supported Preferred

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

  • Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

  • Regular verbs
  • Irregular verbs
  • Transitive verbs
  • Intransitive verbs
  • Dynamic verbs
  • Stative verbs
  • Linking verbs
  • Auxiliary verbs
  • Modal verbs
  • Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

  • A is used for words that begin with a consonant sound (e.g., a bear).
  • An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

  • Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
  • Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
  • Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

  • ‘The cat ate its food’.
  • ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

  • Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
  • Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .
Examples: Then in a sentence Examples: Than in a sentence
Mix the dry ingredients first, and add the wet ingredients. Max is a better saxophonist you.
I was working as a teacher . I usually like coaching a team more I like playing soccer myself.

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

  • I used to be the new coworker.
  • There used to be 4 cookies left.
  • We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Candidly Completely Accurately
Honestly Really Correctly
Openly Totally Exactly
Truthfully Precisely

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

  • Conveying the emotional state of the characters or the narrator
  • Creating an atmosphere or set the mood of a scene
  • Foreshadowing events to come
  • Giving texture and vividness to a piece of writing
  • Communicating emotion to the reader in a subtle way, by describing the external world.
  • Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

  • At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
  • At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

  • Nominal : the data can only be categorised.
  • Ordinal : the data can be categorised and ranked.
  • Interval : the data can be categorised and ranked, and evenly spaced.
  • Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

  • I am looking forward in hearing from you.
  • I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

  • Eagerly awaiting your response
  • Hoping to hear from you soon
  • It would be great to hear back from you
  • Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

  • I’m looking forward to hear from you soon.
  • I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

  • Be composed of
  • Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

  • Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
  • Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
  • The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
  • The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
  • The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

  • A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
  • A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

  • Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
  • Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

  • When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
  • If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

  • Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
  • Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
  • Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

  • Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
  • Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

  • In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
  • In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
  • As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

  • The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
  • The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

  • Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
  • Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

  • Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
  • Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

  • The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
  • The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

  • Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
  • Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
  • Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

  • In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
  • In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

  • By presenting only two options as if these were the only ones available
  • By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

  • Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
  • Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

  • A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
  • Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

  • Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
  • Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
  • Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

  • An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
  • An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

  • When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
  • Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
  • Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

  • Believing that wearing your lucky jersey will help your team win 
  • Thinking that everytime you wash your car, it rains
  • Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

  • The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
  • Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

  • Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
  • Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

  • Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
  • Authority: It’s just a language model and is not considered a trustworthy source of factual information.
  • Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

  • Gives the tool a role to explain what type of answer you expect from it
  • Is precisely formulated and gives enough context
  • Is free from bias
  • Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

  • Follow this link to the ChatGPT website.
  • Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
  • Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

  • Reproducing biases and false information
  • Using ChatGPT to cheat in academic contexts
  • Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

  • Following your institution’s guidelines
  • Critically evaluating outputs
  • Being transparent about how you used the tool

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How to Write a Dissertation in Ten Days or Less

Published by Owen Ingram at January 27th, 2023 , Revised On April 19, 2024

Can you Complete your Dissertation in Ten Days?

Most students struggle at some point with deadlines, and we regularly get asked questions such as ‘Can you write a dissertation in a month?’ and ‘Can you write a dissertation in three days?’ We do not judge why you are in this situation, we’re here to help you get your dissertation done. The answer to the questions is yes. But of course, the less time you have, the more pressure you are under.

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How Long Does it Take to Write a 10,000-word Dissertation?

This is a common question, as is “How long does it take to write a 7,000-word dissertation?” There is no figure in hours or days that answers this; it differs for everyone.  “Is it possible to write a 10,000-word dissertation in two days?” Well, yes. But you will only find out if you can do it when the two days are up. You need to get started immediately, follow our advice and use our dissertation guides . But we are not claiming it’s easy.

Can I Complete my Dissertation in 3 Days? How Fast do I Need to Write?

If you have to produce 10,000 words in ten days, you have to average 1,000 a day. If you have two days, then 5,000 per day and if you work on it for 12 hours each of those days, you need to turn out 417 words per hour. A tall order, but it can be done. Do not let panic or pressure overwhelm you; and remember, it is perfectly acceptable to ask for help . You can stop asking your friends ‘How quickly can you write a dissertation?’ You are going to show them how quickly.

Can I Really Produce 10,000 Words in a Week?

How long d oes it take to write a 10k word dissertation? To give you some perspective, most people speak this many words in a day with no effort. You probably have more than enough words in your notes. It will make a big difference if you have your research project results analysis done already. If this is the case, you ‘only’ need to write them up. If you already made a good start but you are having trouble progressing, maybe you just need to focus on writing up your findings or certain chapters or areas.

You might think your notes are messy and disorganised or that they lack the right academic sound. Regardless, do not think of this task as producing all 10,000 words, rather, it is laying out your notes, organising them, and giving them a more formal, academic tone.

Can you Write a Dissertation in a Day?

Can you write a dissertation in a day? This is surely the most demanding academic writing challenge. It means 100% focus and work: Type up your notes, ensuring they have an academic/formal tone to them. Keep going, section by section and as it grows, you will start to see your dissertation appear.

Preparing to Write your Dissertation Fast

Prepare to start work.

You know your subject well, and you have probably written many essays on it by now. The main difference is that this assignment is longer. So, let’s get started. You need to prepare well; normal life can be suspended for the time you will spend working. The first preparations to make concern you and where you are going to work.

Distractions and Interruptions

Turn off your phone and avoid TV. If you are really serious, you will really do it. When you procrastinate or allow yourself to be distracted, what do you do? Gaming? Staring out of the window? Baking? Make these things difficult or impossible to do. Be aware of something called productive procrastination. This is when you do something productive but it’s not what you are meant to be doing. Do not mistake activity for productivity. When you find yourself vacuuming around your desk, snap out of it.

I’m Writing my Dissertation all Week. Quiet, Please

Some people can work with music playing, and some need silence. Listening to words, whether sung or spoken, can distract you when producing text. If there is something that will help you, such as instrumental music, use it. Make sure everyone knows what you are doing and ask them to leave you alone (except for bringing you food and drinks). Can someone else handle your duties and obligations for a while?

Create a Work Area

Set up a workplace and de-clutter it. Remove irrelevant books and anything you can fiddle with. Gather all your materials: this means textbooks, notes on paper and in digital form. Your research is likely over, but you will need everything to hand.

Give all materials specific places and keep them there. As you use them, you will remember where they are. Putting them down in different places will mean time lost looking for them, which will add frustration to the work.

Do All of your Legwork Before Starting

Getting up and walking away from the desk unnecessarily uses time you do not have. Do not let shopping trips interrupt your work. If you do not have enough food and supplies in before starting, get them first. Certain foods/snacks can help get you through, maybe you can suspend your usual health regime for a while. You need to feel comfortable in this. But do not overdo the caffeine or sugar .

Make a Work Schedule

Look ahead at your available time and make a schedule. If you work 21 hours on the first day, you might find yourself burnt out the next day. Sleep when you have to, work when you feel good. How long can you realistically work each day? Be careful not to create an unrealistic schedule, you will not keep up to it and will become demoralised. Remember that writing the dissertation is only 1% of your entire course; it is acceptable to get help at this late stage.

Where to Start

Start here – write an outline.

As well as a work schedule, you need a dissertation structure . You may be tempted to think that making an outline for your dissertation is extra work, that it would be quicker to just start writing. That would be like going on a driving tour to every European country with no plan. Without regular destinations, you will drift about aimlessly.

You can save time by focussing only on the main parts of the dissertation. If you run out of time, it will be better if the parts not completed are the less significant ones, although ideally nothing should be left unfinished. This is an exercise in prioritisation: Write the most valuable, points-scoring parts first.

Sacrifices May be Necessary

With a tight time limit, you might have to make sacrifices. People with the luxury of time will spend a day or more on just the table of contents or references section . You might not have this option. The focus has to be on the rapid production of text and its quality; things like detailed formatting and page layout will be secondary.

Prioritising your Order of Work

In the detailed plan below, skip the greyed-out parts to start with. You can use this to create an outline by adding a note under each part of the different sections stating what you are going to include there. This is where the job starts to appear less daunting; 10,000 now becomes 2,000 for this section, 1,000 for that section… The mountain becomes a set of smaller hills. And the introduction section can be written after the body, it is easier and quicker that way.

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1
2
3
4
5
6
7
1 Brief description of the topic and main problem
2
3 The of the investigation
4
5 Organisation of the research
1 Introduction
2 Summarise & combine findings from your sources
3 Review & evaluation of sources used
4 Critical assessment of the literature
1
2 Philosophical approach
3
4 Research limitations
5 Ethical considerations
6
1 Statement and analysis of the results
2 Comparison of the obtained results and initial goals/questions
1
2 Comparison of the results with the findings of prior researchers
3 Suggestions regarding the use of the obtained findings for the further development of the topic and future investigation
Build this as you go along.
1 Statement of the IRB forms (for example, the forms of the informed consent)
2 Information regarding the instrumentation

Writing the Dissertation Body

When you have an outline, you need to put some meat on those bones and build a body. Working from start to finish may be best (skipping the introduction), but the order you work in is your choice. If your notes are not in order, a quick way to identify notes that apply to the different sections is to mark them with different coloured highlighters as in the table above. This will draw your eyes to the relevant notes quickly. You can do this on your computer screen by highlighting similarly.

After the main body, the introduction is next. This will be easier to write because all the information will be fresh in your mind. What next? The appendices or the parts at the front? This should be your decision based on remaining time.

Good Practices for Writing your Dissertation

Ignore spelling and grammar.

Do not pay attention to spelling, grammar, and language rules at this stage. Attending to spelling and grammatical details as you work will distract you and spoil your flow. Spelling and grammatical mistakes do not matter in a work in progress. You can turn checking functions off until you reach the editing and proofreading stage. Concentrate only on writing up your notes, do not switch between tasks.

Attend to One Part of the Dissertation at a Time

Constantly switching between research, writing, and tidying up the reference section is inefficient. Each time you switch, your mind needs time to catch up then settle into that activity. By focussing, we mean you should do all the analysis in one session until it is finished, all the writing of major sections in another, and sorting out the reference section can be done in one sitting. Less switching saves time and usually turns out a better job.

Take Regular Short Breaks

Take Regular Short Breaks

Save and Back up Routinely

When you leave the desk, click to save your work. Also do this after any burst of writing, and at regular intervals. Back up your work on another drive too. This is one of the most important things you will write. Treat it as the valuable document that it is.

For when you resume work, make sure you know where you left off, highlight it if that helps. When you come back to your work the next day, sometimes you can’t remember where you were; it can be difficult to resume the same line of thought. A habit of Ernest Hemingway was to leave an unfinished sentence to come back to so that he could…

Have a Strict but Simple Method of Noting Sources

Every time you quote or paraphrase something, note the source. Use a simple referencing technique while writing that does not demand much time. One such method is for the first in-text reference, just put (1) after the quote, use (2) for the second and so on. Start a list of sources that correspond to each number. You could highlight the numbers in a specific colour so you can attend to them later and not miss any. Missing just one reference, even accidentally, will still count as plagiarism . Before you start, be absolutely clear whether you are including a reference list or bibliography . Completing your list according to the required style ( Harvard , Chicago, etc.) can be done in one session.

Get a Qualified Appraisal of your Work

You will need someone to read your finished work. Having it read by someone unfamiliar with the subject and the structure of dissertations will be unproductive. Ideally it should be someone who understands the topic. And these days that person need not be physically present; you can email your draft to someone to get an opinion on changes & improvements .

Writing your Dissertation in Days

We are not going to sugar-coat the task of producing a dissertation in days rather than months and weeks. It is not easy, and regardless of what caused you to have such a short time remaining, it puts all your work in jeopardy. When someone asks us “Can I complete my dissertation in three days?” we have to answer yes, you can, but… It depends on the individual, how much work you have done so far, your personal circumstances, your other obligations, how much of those three days can you dedicate to the task.

How to Write a Dissertation Fast Checklist

Frequently asked questions, can i write my dissertation in under a week.

The short answer is yes but there are several factors to consider that may help or hinder you. Few people have the support around them to allow them to drop all commitments and focus on just one task. Also, few people will have taken on such a large a task in such a short time before, and might become overwhelmed.

The dissertation is where your study course culminates; all the time, effort, and expense you have invested should come to fruition here. This might not be a good time for  maybe I can do it . Maybe you can make it to the bank before it closes. No? Oh, well, you can go tomorrow. Maybe I can write 10,000 words in a week. If the answer is no, the consequences are more serious.

This guide and all the other  dissertation guides  on this site are here to help you with every aspect of dissertation writing. You can also contact us directly through the chat box or Whatsapp.

I have to write my dissertation in three days. Where do I start?

Start by getting organised. Gather all the materials you need, create a work area, get rid of distractions, and if possible, delegate any obligations or chores to someone else for the duration. Then read this guide from the start. If you need further help when you are deep into the writing, just ask us. We exist just for this purpose. Our team and expert writers have handled almost every kind of dissertation emergency.

Can I do my research, analysis, and write my dissertation in ten days?

The more time you have, the better. But carrying out the research and analysis in such a short time will be very demanding. It can be done though; our team can do this in under a week. You would need a great level of support around you and an impressive level of determination and focus. If you supply the determination, we can provide the support .

What helped you finish your dissertation quickly?

To finish your dissertation quickly, prioritise tasks, set realistic goals, maintain a consistent work schedule, minimise distractions, seek feedback from advisors regularly, and break down the writing process into manageable chunks. Use effective time management techniques, such as the Pomodoro Technique, and stay organised with thorough planning and research strategies.

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How to Write a Dissertation: Step-by-Step Guide

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  • Doctoral students write and defend dissertations to earn their degrees.
  • Most dissertations range from 100-300 pages, depending on the field.
  • Taking a step-by-step approach can help students write their dissertations.

Whether you're considering a doctoral program or you recently passed your comprehensive exams, you've probably wondered how to write a dissertation. Researching, writing, and defending a dissertation represents a major step in earning a doctorate.

But what is a dissertation exactly? A dissertation is an original work of scholarship that contributes to the field. Doctoral candidates often spend 1-3 years working on their dissertations. And many dissertations top 200 or more pages.

Starting the process on the right foot can help you complete a successful dissertation. Breaking down the process into steps may also make it easier to finish your dissertation.

How to Write a Dissertation in 12 Steps

A dissertation demonstrates mastery in a subject. But how do you write a dissertation? Here are 12 steps to successfully complete a dissertation.

Choose a Topic

It sounds like an easy step, but choosing a topic will play an enormous role in the success of your dissertation. In some fields, your dissertation advisor will recommend a topic. In other fields, you'll develop a topic on your own.

Read recent work in your field to identify areas for additional scholarship. Look for holes in the literature or questions that remain unanswered.

After coming up with a few areas for research or questions, carefully consider what's feasible with your resources. Talk to your faculty advisor about your ideas and incorporate their feedback.

Conduct Preliminary Research

Before starting a dissertation, you'll need to conduct research. Depending on your field, that might mean visiting archives, reviewing scholarly literature , or running lab tests.

Use your preliminary research to hone your question and topic. Take lots of notes, particularly on areas where you can expand your research.

Read Secondary Literature

A dissertation demonstrates your mastery of the field. That means you'll need to read a large amount of scholarship on your topic. Dissertations typically include a literature review section or chapter.

Create a list of books, articles, and other scholarly works early in the process, and continue to add to your list. Refer to the works cited to identify key literature. And take detailed notes to make the writing process easier.

Write a Research Proposal

In most doctoral programs, you'll need to write and defend a research proposal before starting your dissertation.

The length and format of your proposal depend on your field. In many fields, the proposal will run 10-20 pages and include a detailed discussion of the research topic, methodology, and secondary literature.

Your faculty advisor will provide valuable feedback on turning your proposal into a dissertation.

Research, Research, Research

Doctoral dissertations make an original contribution to the field, and your research will be the basis of that contribution.

The form your research takes will depend on your academic discipline. In computer science, you might analyze a complex dataset to understand machine learning. In English, you might read the unpublished papers of a poet or author. In psychology, you might design a study to test stress responses. And in education, you might create surveys to measure student experiences.

Work closely with your faculty advisor as you conduct research. Your advisor can often point you toward useful resources or recommend areas for further exploration.

Look for Dissertation Examples

Writing a dissertation can feel overwhelming. Most graduate students have written seminar papers or a master's thesis. But a dissertation is essentially like writing a book.

Looking at examples of dissertations can help you set realistic expectations and understand what your discipline wants in a successful dissertation. Ask your advisor if the department has recent dissertation examples. Or use a resource like ProQuest Dissertations to find examples.

Doctoral candidates read a lot of monographs and articles, but they often do not read dissertations. Reading polished scholarly work, particularly critical scholarship in your field, can give you an unrealistic standard for writing a dissertation.

Write Your Body Chapters

By the time you sit down to write your dissertation, you've already accomplished a great deal. You've chosen a topic, defended your proposal, and conducted research. Now it's time to organize your work into chapters.

As with research, the format of your dissertation depends on your field. Your department will likely provide dissertation guidelines to structure your work. In many disciplines, dissertations include chapters on the literature review, methodology, and results. In other disciplines, each chapter functions like an article that builds to your overall argument.

Start with the chapter you feel most confident in writing. Expand on the literature review in your proposal to provide an overview of the field. Describe your research process and analyze the results.

Meet With Your Advisor

Throughout the dissertation process, you should meet regularly with your advisor. As you write chapters, send them to your advisor for feedback. Your advisor can help identify issues and suggest ways to strengthen your dissertation.

Staying in close communication with your advisor will also boost your confidence for your dissertation defense. Consider sharing material with other members of your committee as well.

Write Your Introduction and Conclusion

It seems counterintuitive, but it's a good idea to write your introduction and conclusion last . Your introduction should describe the scope of your project and your intervention in the field.

Many doctoral candidates find it useful to return to their dissertation proposal to write the introduction. If your project evolved significantly, you will need to reframe the introduction. Make sure you provide background information to set the scene for your dissertation. And preview your methodology, research aims, and results.

The conclusion is often the shortest section. In your conclusion, sum up what you've demonstrated, and explain how your dissertation contributes to the field.

Edit Your Draft

You've completed a draft of your dissertation. Now, it's time to edit that draft.

For some doctoral candidates, the editing process can feel more challenging than researching or writing the dissertation. Most dissertations run a minimum of 100-200 pages , with some hitting 300 pages or more.

When editing your dissertation, break it down chapter by chapter. Go beyond grammar and spelling to make sure you communicate clearly and efficiently. Identify repetitive areas and shore up weaknesses in your argument.

Incorporate Feedback

Writing a dissertation can feel very isolating. You're focused on one topic for months or years, and you're often working alone. But feedback will strengthen your dissertation.

You will receive feedback as you write your dissertation, both from your advisor and other committee members. In many departments, doctoral candidates also participate in peer review groups to provide feedback.

Outside readers will note confusing sections and recommend changes. Make sure you incorporate the feedback throughout the writing and editing process.

Defend Your Dissertation

Congratulations — you made it to the dissertation defense! Typically, your advisor will not let you schedule the defense unless they believe you will pass. So consider the defense a culmination of your dissertation process rather than a high-stakes examination.

The format of your defense depends on the department. In some fields, you'll present your research. In other fields, the defense will consist of an in-depth discussion with your committee.

Walk into your defense with confidence. You're now an expert in your topic. Answer questions concisely and address any weaknesses in your study. Once you pass the defense, you'll earn your doctorate.

Writing a dissertation isn't easy — only around 55,000 students earned a Ph.D. in 2020, according to the National Center for Science and Engineering Statistics. However, it is possible to successfully complete a dissertation by breaking down the process into smaller steps.

Frequently Asked Questions About Dissertations

What is a dissertation.

A dissertation is a substantial research project that contributes to your field of study. Graduate students write a dissertation to earn their doctorate.

The format and content of a dissertation vary widely depending on the academic discipline. Doctoral candidates work closely with their faculty advisor to complete and defend the dissertation, a process that typically takes 1-3 years.

How long is a dissertation?

The length of a dissertation varies by field. Harvard's graduate school says most dissertations fall between 100-300 pages .

Doctoral candidate Marcus Beck analyzed the length of University of Minnesota dissertations by discipline and found that history produces the longest dissertations, with an average of nearly 300 pages, while mathematics produces the shortest dissertations at just under 100 pages.

What's the difference between a dissertation vs. a thesis?

Dissertations and theses demonstrate academic mastery at different levels. In U.S. graduate education, master's students typically write theses, while doctoral students write dissertations. The terms are reversed in the British system.

In the U.S., a dissertation is longer, more in-depth, and based on more research than a thesis. Doctoral candidates write a dissertation as the culminating research project of their degree. Undergraduates and master's students may write shorter theses as part of their programs.

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Dissertation Angels

Can you write a dissertation in 2 weeks? The truth.

If you landed on this page, it’s likely you’ve found yourself in an uncomfortable dissertation writing crunch. A little searching on Google or reddit will reveal you’re not alone – some of the top related questions I came across included: Can you write a dissertation in 2 weeks? Can you write a dissertation in 3 months? Or… there’s this one: Can you write a dissertation in 2 days?

I guess I’ll start with my spoiler alert: No, you most likely cannot write a dissertation in 2 weeks. For most people who complete a dissertation, it’s one of the most arduous writing experiences of their lives. However, 2 weeks of dedicated time can result in significant progress. So rather than focus on things beyond your control right now (an approaching deadline, for example), let’s focus on what you can do to speed up your writing.

write a dissertation in 2 weeks

How many words can you write in a day?

The length of a dissertation will vary based on a bunch of factors. For the sake of discussion, let’s say the average dissertation is 200 pages (not including references). With about 250 words per page, we’d be looking at approximately 50,000 words, total. While that may seem like a lot, the publishing industry considers 50,000 words to be a short book ?. Rather than fixate on the total number of words, let’s figure out how many words you can write in a day.

It make some trial and error to find your writing flow, but aim to write at least 1 page (250 words) per hour. In this way, your writing productivity should be based on the number of hours you work. Some people write best in long, uninterrupted (6-8 hour) periods, while others do better with short, 1-2 hour writing blocks. For Ph.D. candidates with full-time jobs and families to care for, 8 hours of weekly writing is the sweet spot. You could probably do more, but balance and the avoidance of burnout is SO important. Eight hours of writing should result in about 8 pages (2000 words) each week.

Create a schedule

Many Ph.D. candidates struggle with school-work-life balance . Thus, the number of hours you spend writing may vary from one day to the next. For this reason, I recommend creating a writing schedule and setting weekly goals. Maybe you’re able to dedicate two hours in the evening, on Tuesday and Thursday, and then four hours on Saturday.

Figure out your writing schedule and then begin setting goals based on the time you’re dedicating to the project. Let’s say you’re working on chapter 1, which is typically around 12-15 pages. If we’re going with our 1 page/hour writing speed, you should be able to draft up Chapter 1 in about two weeks, with a dedication of 8 hours per week. Remember that your writing speed for a dissertation is going to be slower because everything you write must be referenced. So when I say “writing speed,” what I’m actually referring to is “researching and writing” speed.

write a dissertation in 2 weeks

Set mini dissertation writing goals

Now that we’ve discussed writing speed and schedules, let’s talk about creating mini goals to inform the writing process. These goals must be specific and time-based in order to be effective. Let’s use the literature review as an example. Rather than say “I’m going to finish my literature review over the summer,” you should create a list of specific mini goals. First, create an outline for the literature review. Let’s say your outline consists of an introduction, search strategy, and conceptual framework, followed by the actual literature review (arranged into eight main sections). Let’s also assume each month is about four weeks long. Looking at big picture, let’s divide this work across the three months in your summer term. I created a goal calendar for each month for this example:

write a dissertation in 2 weeks

As you can see, I stuck with our example of writing on Tuesdays, Thursdays, and Saturdays. With this schedule, you could research, write, and edit a 40-page literature review in just two and a half months! Check out some specific tips for getting through the literature review, here .

Also consider integrating weekly check-ins with your chair to keep them involved in the project – you’ll want them in your corner.

How long does it take to write a five chapter dissertation — realistically?

Okay, all this scheduling and goal-setting is great, but how long does it really take to write an entire dissertation? Once again, there are many variables to consider, but 1 year is a reasonable window for completion (from start to finish!). If you’re at the beginning of your journey, look at your big picture goals for completion and then set deadlines for each of the following main benchmarks:

  • Chapter 1 draft approved
  • Chapter 2 draft approved
  • Chapter 3 draft approved
  • Proposal defense
  • IRB approval
  • Data collection
  • Data analysis
  • Chapter 4 approved
  • Chapter 5 approved
  • Final defense
  • Publication (!!!)

The keys to speedy dissertation writing

Beyond scheduling and goal-setting, you can speed up your dissertation journey by eliminating time wasters and distractions. Reflect on the things that are your writing kryptonite (smartphone nearby, social media, etc.) and minimize those distractions. You can also speed up your dissertation journey by minimizing your revisions for each chapter. This process will involve revisions, but you can minimize them by making sure your writing is polished before each submission.

Finally – get organized. Beyond your writing schedule, make sure your physical writing environment is organized. Keep your desk clutter free so your writing space doesn’t feel chaotic. Also, keep your electronic files organized (have a system for storing and organizing your articles, references, and submissions for each chapter).

write a dissertation in 2 weeks

Final word: Why a rush job is a bad idea

Rushing yourself through the dissertation is a bad idea that will most likely result in frustration and may even prolong the process. Be aggressive but realistic about the timeline you create for yourself. If you need to move the finish line a little further out, do it. Us overachievers have a tendency to bite off more than we can chew. That’s alright, we’re human. It’s not worth creating unnecessary stress and agony. Can you write a dissertation in 2 weeks? Probably not. But if you set goals and stay accountable to those goals, you should be able to finish in a year! If you feel stuck, a dissertation coach could help you get the needle moving again.

Happy writing!

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I can't write my Masters dissertation and it's due in 2 weeks, in despair over it

StupendouslyStupid · 23/08/2019 20:05

Sad

Sorry defer prob wrong word in this context, head full of A levels students making uni choices. What I mean is if they even let me take a break I think I'd have to take a full year so basically delay everything by 2 years not 1. I don't think I could re join next year.

You poor thing. Maybe don't make a decision on deferring yet. You sound lile you're panicking and looking for a quick fix. I think you just need to start writing ideas down on a plain piece of paper (set a timer for 3 mins as the pressure might help you focus). Then just start. It's because it's so huge it seems daunting but (and this is my Dad's saying), just take one bite of the elephant... then you've started. Very best of luck.

Have you written anything yet? How many words are we talking?

I’d ask for the extension, you could do it in three weeks. What is the word limit? The best way to tackle a large project like this is to break it in to chunks. Don’t look it as an entire piece until near the end.

  • Plan out sections - then do subsections.
  • Try and write an outline for each section.
  • When you are really tired fix the layout and do the references, you will be shattered by the end so if you have this finished in advance you will cry tears of joy.
  • Remember a good thesis is a finished thesis. Do the best you can, take each day as it comes.

Hello OP. I don't know if it helps but when I'm struggling is to write against a timer. For example, in 45 minute sections. I often find thoughts are coming and the flow of writing has started. Before you start, can you section the work and spend an hour making bullet points for each section. It may be worth spending a greater proportion of your time on the sections with greatest weighting. Turn your phone onto flight mode so you are not disturbed. Good Luck!

How many words and what sort of project? Is there anything you can reuse from your proposal, if you did one? Two weeks is totally doable if you’ve done the actual work and all that’s left is to write it up. My advice is to have a large glass of wine and start typing away at whatever section is the easiest. Editing and refining can come later but I think it’ll get you in a better mindset if you get something down.

University lecturer here – I've supervised a number of students through difficult dissertations. and when I was younger, I also struggled with not being able to complete/submit written assignments. My key advice is: don't try to get it right, just get writing. The point isn't to write something you're proud of, it's to get the words on the page. If after that you have the time and the energy to turn those words into something better, then do so. But first just throw a bunch of words on the page so you have a first draft. Don't think or worry about the quality, just type. The point of the first draft is to get words on a page. Everything follows from that. Good luck!

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You can do it in 2 weeks if you have done the actual research? What type of dissertation is it? Topic? The hardest part is starting typing. I bet once you start it will all flow.

Go and talk to your university, ask for a defferal, take the pressure off yourself. Take 48 hours, sleep look after yourself don't think about it. Structure is everything in a dissertation. Do you have a well defined research question? At the end of the day that is all you are trying to answer. So; Introduction and literature review, what are you doing, why is this important, what has been done before, what is the gap in the research. How does your dissertation fit into this. Research, what approach are you taking, why is this appropriate, how can you be sure your results will be valid, triangulation etc, what are the limitations to your approach, what could you do about those, what was outside of your control Results, what have you found out Discussion- Answer your research question? How do your findings relate back to the previous research in the literature review, what do you recommend, where should research go next? Maybe you can't answer the question, fine say that. What else would be needed?? Summary and Conclusion If you have done the research then you will have plenty to say. Just try bullet points to start with, get the structure right then just pad it out. Just be really clear on your research question to start with. You can do this.

I strongly agree with riotlady's advice to make wine your friend. Whenever I was struggling with my PhD thesis, I poured myself a very large glass of wine, took a huge sip, and just started typing. Work your way through half a bottle of wine, type the entire time, and make a judgement later about the quality. But just get typing (and drinking). During the PhD years, I tried as much as possible to take advantage of the reduced inhibitions that came from drinking. For example, if I felt a little bit tipsy in the evening I would sneak off to my computer and bash out a few paragraphs, not worrying about the quality but just trying to get words on the page. My motto was: might as well do this when I'm drunk, otherwise I'll have to do it when I'm sober.

Extension is a good idea rather than deferring. You are probably trying to write a great dissertation (obviously why wouldn’t you!) but this is where you get into the ‘perfection is the enemy of good’ territory. It is so much easier to edit and rewrite pieces. So just write a crappy version of your dissertation in the coming week and then have 2 weeks editing and rewriting. Why sort of length are you thinking it will be?

You can absolutely do this. Get the weeks extension. Then plan, plan, plan. What is your argument? What’s the best structure? Map that all out before you start. Them set yourself a word limit/sections to be covered everyday and stick to that rigidly. I agree with a PP, don’t aim for perfection. That will paralyse you. Words on a page, polish later (build in that time). Aim for 100% done at 60/70% of the quality you’d like. This is much better than the other way around.

You can do it! As PPs have said if you know what you want to say and you've done the research the actual writing up is very very possible in the amount of time you have. I wrote the last third of mine on the day it was due in and got a distinction for it, and if I can do it so can you. The key is to stop worrying about structure and footnotes and just get something down on paper. What do you think? Why do you think it? What other ideas did you consider and reject? Don't worry about tidying it up for now, just get it written down straight from what's in your head, no notes.

Need to read posts properly but see a few people have asked how many words, it's 10 thousand words. Confidence is shot as I did the sitting down and banging out a chapter before and my supervisor made it clear it didn't cut the mustard so I think part of it is I just feel embarrassed by my own ideas and opinions which is really unhelpful. Supervisor is a kind person and we get on quite well so wasn't trying to be spiteful either.

My PhD supervisor swore by writing with bottle of whiskey to hand. It wouldn’t have worked for me (I would have just fallen asleep) but I can see why it’s helpful for some.

Firstly - deep breath, it's gonna be OK. A dissertation is a massive undertaking and anyone that has written one, would have had the same moments of absolute terror and panic. Good news, you have over two weeks! The way it was suggested to me - I'm guessing you already have a topic? I'm also going to assume that you've done most of the reading/literature reviews (what others had said)? In that case, congratulations, you have already done more than you probably expected. In a 8000 word dissertation, around 1000 will be your intro, 3000 your literature review, then you findings/the main bit 3000 and finally a 1000 conclusion. Write your conclusion first - what have you concluded as a result of doing the research? Now write the introduction, what are you going to try and prove? As you have already written the conclusion, you should find that your intro tailors itself back to your conclusion automatically. Now the literature review - what have others said about your hypothesis? So all you now have to do is the middle 3000 bit, which is the research you would have done towards the hypothesis. You can probably do this in just over a week. That gives you a couple of days to then put it away completely. Then it's time to review and edit. Contrary to belief, a Masters doesn't have to be full of long words. As long as it reads well, makes sense and answers your question. And remember - absolute worse, If you have already completed 120 Masters credits (which again I am assuming as you are at the dissertation stage) - it means you could, even now, exit with a Post Graduate Diploma. You are gonna be OK.

Have I done the research? Honestly, I don't even know. I've read so much stuff. Sometimes I think I've understood and have those moments of YES! That really helps me argue my point! Then sadly a lot of the time I read stuff, have to read several times because my brain is so slow and still feel I haven't grasped what the writer is on about. I just feel so thick.

OP have you done the research? If it's just the writing up (and I know, it's not 'just') and you could get an extension, it's doable. Other posters have given good advice. I'm a bit surprised tho - what have you been working on with your supervisor? You mention writing one draft chapter? Is that all the supervisor has seen? Anyway .. I assume you have a lit review done from earlier in the year? So that's one part of the process done. I would then decide on a structure for each section / chapter. What I'd then focus on is the research element. Did you interview people? Do surveys? Focus groups? Primary research? Whatever original research you did, write it up now. Like a pp said, don't worry about style / being perfect, get it on paper Make an appointment ASAP with your supervisor and be really honest about where you are at. Get their advice. Also consult your university's library web site and check what guides they have on researching & writing, ditto university's Writing Centre. This is my area of work and most of these guides are very practical and will give you direct steps to take. If you haven't done original research and in-depth reading - re-consider submitting your thesis and consider taking a Grad Dip / PG Dip Instead. There's no point in submitting rubbish for the sake of it. Good luck 💐

Placemarking because I need to finish mine in the next academic year and I’ve had similar struggles with my essays so far ... good luck!

Sorry cross post! When I asked about research though, I mean original research, not reading. For example, interviews / surveys / gathering data / consulting primary sources. This is distinguishes a thesis from a long essay.

Can you pay someone to do it?

Assuming you are taking the piss @lucylouis 🙄🙄

You can do it!! I feel the same, am on 11000 of 15000 and am struggling. But set little writing goals and rewards for doing 200 words (cup of tea , 5 minute wander around). Keep to what you want to say and just get it down. They can’t mark nothing but will give credit for what is there. If they accepted you onto a masters course then you have the ability. Just go for it!

If you like we can spur each other on? I'm also writing mine atm and am way behind where I should be due to hyperemisis.

My approach when I have writers block like this is to put each idea on a notecard. The smaller the ideas the better, but they don’t all have to be the same. You might have things like Law passed 1973 is relevant Talk about the social implications of x and maybe link it to y Make sure to mention that J is important Then once you have all those pieces floating around in your head written down, you can start shuffling cards until you can start to see an outline If you have done your prep, you can finish this in two weeks and especially three. You just have to find some way to start. I like my notecards, other people like to just type freeform, wine can help (but only for the first draft).

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Writing a Dissertation in 2 Weeks – Myth or Reality?

Writing a Dissertation in 2 Weeks

One of the biggest challenges that a student will face in their academic career is writing their dissertation. If you thought producing standard essays was a challenge, then just wait until you are faced with a dissertation! Students are required to produce an extended piece of writing based on a research topic of their choosing. It differs from a regular essay in that it features several chapters and appendices and that it is often required to presented as a professionally bound piece of work. The length of a dissertation varies from one university to the next, and even within different areas of study, but you can expect to be asked to write somewhere in the region of 10,000 to 30,000 words. As you have probably realised by now, this is a project that is going to dominate a large percentage of your time over the course of several months. However, there are those who say that it is not necessary to spend so much time on it and that a dissertation can be written within as little as 2 weeks. We thought we would take a closer look to see if this is actually possible, or if it is a college myth!

Is 2 Weeks Really Long Enough?

When you consider the importance of a dissertation and the fact that it can be the difference between obtaining your degree and not, the question is not so much can you write a dissertation in 2 weeks, but should you? Students are known for being masters of procrastination, but with something this important it probably isn’t a great idea to leave it to the last minute. We would always advise getting started on your dissertation as early as possible in order to produce your best possible piece of work.

Is it Possible to Write A Dissertation in 2 Weeks?

However, just because something is not advisable that doesn’t necessarily mean that it cannot be done! If you find yourself in the situation where you only have a few weeks left then there is no point in telling you that you should have started sooner! For whatever reason, you only have two weeks left, so all you can do is use that time wisely. It is possible to achieve it, but it is going to take 2 solid weeks of hard work and planning with zero procrastination!

How to Write Your Dissertation in 2 Weeks

If you are going to write your dissertation in 2 weeks, then the first step is creating a solid plan. You will need to divide up your time in order to make sure you do everything that you have to do, so the best place to start is writing a to do list of all of the tasks that relate to your dissertation. You are going to need to allow the last 2 days for printing and binding your finished piece of work, so that leaves you 12 days for research and writing. Let’s break that down in manageable chunks using the following tips.

  • Start of by allocating the first 2 or 3 days to some intensive research. Collect all of your materials in these first few days and start making notes in preparation for actually writing your dissertation.
  • With your research out of the way you will need to set yourself a daily target. Assuming that you are completing a 10,000 word essay you can divide your word count up over the next 9 days. That;s just over 1,000 words per day – or 1,111 to be exact! Writing 1,000 words a day seems like it is much more manageable than 10,000 in 9 days, doesn’t it?
  • The best time to write is first thing in the morning. Try to get into the habit of getting up and writing your 1,000 words straight away. That leaves you the rest of the day for additional research, proofreading and editing.
  • Don’t limit yourself to 1,000 words per day. If you are really in the flow of writing your dissertation then keep on going with it. It’s not unrealistic to be able to write 2,000 words in a day if you are in the zone. This will allow you to finish writing earlier, or make up for those days when you really struggle to make your target!
  • At the end of your 9 days you should have your 10,000 words and you still have a day left over to proofread and edit before printing and binding your finished dissertation!

Writing a dissertation in 2 weeks is not the recommended way to tackle this important assignment, but it is possible if you find yourself with no other choice. Don’t forget, that if you are struggling to keep up with your schedule, then you could also turn to a professional Dissertation Writing Service .

Writing a dissertation is the most laborious task you get during your education. The good news is you don’t have to go trough it alone. Order your dissertation from our dissertation writing service, and enjoy the best of both worlds – a pro writing your paper and absolute control of the writing process. You will enjoy working closely with our expert dissertation writers!

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How To Write A Two Weeks’ Notice Letter (With Examples)

  • How To Quit Your Job
  • Write A Resignation Letter
  • Two Weeks' Notice Letter
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Knowing how to write a two-weeks notice letter is important when it comes to resigning from your job. This letter lets your employer know that you are quitting your job and it will inform them of your last day.

If you’re in need of writing a two-weeks notice letter but aren’t sure where to start, we’ll go over how to write a two weeks notice letter, provide an example notice letter, and some common mistakes to avoid when writing one.

Key Takeaways

To write a two weeks notice letter, state your resignation on the first line of your letter and make sure you put the date of your last day.

Submitting your resignation letter two weeks before your last day of work is standard practice.

It’s important to make a good final impression with your letter because you want to leave the door open to receiving a recommendation from your current employer in the future.

You should submit your letter after you’ve spoken with your boss about your resignation in person.

How to Write a Two Weeks' Notice Letter

What is a two weeks’ notice letter and why should I write one?

How to write a two-weeks notice letter, example two-weeks notice letter, template for two weeks’ notice letter, two weeks’ notice letter tips, common mistakes to avoid with your two weeks’ notice letter, what to consider before handing in your two weeks’ notice, how to quit your job: beyond your two weeks’ notice letter, two weeks’ notice faqs.

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A two-weeks notice letter is a document that an employee hands to their employer to inform them of their resignation. It’s traditionally handed in two weeks (14 days, 10 business days) before your final working date, as stated in the letter itself.

Note that there are no federal laws concerning giving any kind of warning before you quit your job. It’s simply a cultural practice to allow your employer enough time to plan for your departure (finding a replacement, reassigning your tasks, etc..)

The important point is that this letter serves as your last chance to leave a good impression on your soon-to-be former employer. It’s a formal, professional, and concise way to notify the company of your departure.

To write your two-weeks notice letter, you should start by addressing the letter, stating your resignation in the opening paragraph, and express your gratitude. Here is a more detailed list of how to write a two-weeks notice letter:

Address the letter. The beginning should be like any other professional document you’ve written: your name, date, and subject line. Include the information of the person you’re addressing and your company’s details.

State your intent and last day. This should be done in the first paragraph of your letter. Include the date of your last working day, which should typically be two weeks after the date you turn your letter in.

Be straightforward, but also friendly. Emphasize who you are and your position in the company. At the end of this paragraph, put the date of your last day.

Say thank you. In the second paragraph, you should take the opportunity to thank your employers for hiring you in the first place and for the experience you’ve had working there.

Even if it was the worst job you ever had, you gained the knowledge that you don’t want that type of job again. That’s valuable.

Give the reasons for departure. Optionally, you can give a reason for your departure in the next paragraph. You definitely don’t want to say, “I hated every second working here, and that’s why I’m quitting,”.

Even if you’re quitting a job you just started , let an employer know that there are no hard feelings and you’re leaving because of a new opportunity.

Offer help. Once you’ve addressed your resignation and the details, you can now move on to the next steps in your final paragraph. Offer your company help in whatever way that may be to smoothly transition a new employee into your position.

Mention that you’re willing to train the new recruit and that you’ll continue working to your full capacity until your very last day. Of course, if you have no intention of helping find or train a replacement, then don’t indicate otherwise. Promise only what you’re willing and able to follow through on, or your nice offer will end up biting you.

Be doubly thankful. Before you close your letter, thank your supervisor and the company once more. It can be a nice gesture to let them know you’re wishing them well in the future, despite your resignation. Courtesy is key.

The sign off. Finish your two weeks’ notice letter with a neatly packaged:

Sincerely, [Your Name]
Dear Mark, Please accept this letter as formal notice of my resignation from my position as Junior Marketing Specialist At Fulbright Marketing Company. My last day of employment will be September 28, 2020. I appreciate the opportunity to be a part of the Fulbright Marketing Company for the past four years. It has been a pleasure working with you and I’m grateful for the support of my professional growth. It was especially helpful to gain the first-hand marketing experience that this position provided. I would like to be of assistance during the transition of my departure. I am available to train a new recruit to take over my position as Junior Marketing Specialist. Please let me know if there’s anything else I can help with. Thank you again for all the opportunities and encouragement. I wish you and the Fulbright Marketing Company all the best in the future. Sincerely, Bianca Smith
Dear [Manager’s First Name], Please accept this letter as formal notice of my resignation from my position as [Job Title] at [Company Name]. My last day of employment will be [Date]. I appreciate the opportunity to be a part of the [Company Name] team for the past [Length of Employment]. It has been a pleasure working with you and I’m grateful for the support in my professional growth. I would like to be of assistance during the transition of my departure. I am available to train a new recruit to take over my position as a [Job Title]. Please let me know if there’s anything else I can help with. Thank you again for all the opportunities and encouragement. I wish you and [Company Name] all the best in the future. Sincerely, [Your Full Name]

When you write and send a two-week notice letter, you should give a copy to your HR department and your supervisor and only include relevant information in the letter. Here are some more tips to keep in mind when writing your notice letter:

Send your letter to your HR department and your supervisor. This makes it easy for them to file it away. Alternatively, you can simply CC them on the email you send to your boss.

Include your name and the word “resignation” in the subject line. This makes it so that your recipient will instantly know the topic of your message. It also makes it easy for them to find in the future if need be.

Include only the most important information. This includes the date of your last day of work and the fact that you are leaving the company. You don’t need to go into detail about why you’re leaving — save that for a personal conversation or exit interview.

Keep your email positive and professional. Remember that you’re sending this letter to avoid burning bridges, so keep the content positive, or at least neutral. Thanking your employer for the opportunity they provided for you is a good way to do this, especially if you can’t think of anything else positive to say.

Offer to help with the transition to a new employee. This may be an optional step you can do if it’s appropriate. This may be offering to help train the new person or simply promising to wrap up all of your open projects so they’re easy for the new person to take over. You can also just offer your general help if you don’t know what specifics to put.

Plan for an immediate departure. While you are giving your employer two weeks’ notice for your departure, there’s a chance they may ask you to leave right away. Make sure you have all of your files backed up or have any important information before handing in your letter.

You should avoid any negativity in your letter and talks about your salary. Here are some more mistakes to avoid in a two weeks’ notice letter:

Negativity. There shouldn’t be any negative comments about the company, your supervisor, or your co-workers. You want to speak about your former team in a positive light, or not at all.

Even if this was the most negative, infuriating job experience you’ve ever had. There’s a time and a place for these complaints, and your letter of resignation is not it ( human resources might be).

Salary. Another complaint you shouldn’t address in your two weeks’ notice is your salary, if that’s impacting your decision to leave. In this scenario, meet with your boss to discuss your salary concerns or send a salary increase letter . Once you’ve made the choice to resign, you’re writing a letter to notify, not bargain.

Boasting. Try not to use a tone that is overly sarcastic, condescending, or rude. There’s no need to shove your great new job or opportunity in anyone’s face. Maintain a voice that is straightforward, appreciative, and respectful. You’ll probably receive the same consideration in return.

Telling coworkers first. This isn’t really a mistake with your two weeks’ notice letter itself, but the circumstances surrounding it. Never tell your coworkers about your plans to leave before telling your boss and formalizing it in writing.

A letter of resignation shouldn’t be taken lightly. Quitting your job is an enormous decision, and there are some considerations to take into account before you send it.

Imagine your life post-resignation, and how you want it to be. Questions to ask yourself:

Do you have a new opportunity waiting for you on the other side, or will you be starting your job search after resigning?

Is your new position higher or lower paying?

Does this new job follow the path of your career goals?

How long will you be waiting before you begin your new position?

Can you survive off what’s in your bank account while you’re waiting?

Are you leaving in the middle of a major project?

How will you manage your benefits (unused PTO, health insurance extension, 401(k) transfer, etc.)?

Is there any company property you have to return?

These are just some of the many questions to think about. Deciding when to quit can’t be done in an instant. You have to consider what’s in your best interest. Only you know the implications that moving on from this job can have for you. Don’t act before you think.

You can always draft your letter of resignation and wait to send it until you’re unquestionably sure or have found a new job already.

You should schedule a meeting with your boss when giving your notice letter and keep your explanation simple. It’s also important that you’re prepared for any bargaining from your boss to try and get you to stay. Here is a more detailed list of how to quit your job beyond handing in your notice letter:

Schedule a meeting with your boss. A two weeks notice letter is great for formalizing your resignation, but we recommend having a conversation with your supervisor first.

It’s up to you whether you want to bring your letter to this meeting or send it as a follow-up. This allows you to have a personal chat where you can really express your heartfelt gratitude for the opportunity (even if you hate your boss).

Remember the mistake from above: do not tell any coworkers before speaking to your boss. It’s a really bad look if your supervisor hears about your departure from someone else.

Keep your explanation simple. Your boss will probably have questions about why you’re leaving and what’s next — part of it’s practical and part of it’s just natural curiosity. The most important part is that you give a decisive final date.

Be ready to talk about the next steps of your departure, whether that involves finding and training a replacement or just wrapping up a project and handing it off to a coworker.

Be prepared for bargaining. You can expect a bit of pushback from your boss unless it’s obvious that you’ve been unhappy in your role for a while now. They might offer a raise, extra perks, or a change in responsibilities.

If you’re not 100% firm in your decision, you can certainly explore these options. Just be aware that you’ve laid your cards on the table, which could make for a somewhat awkward future here.

Help find/train your replacement. If you really want to be a superstar, you can offer to help find and/or train your replacement. It’s a nice gesture that will guarantee you a glowing recommendation down the line.

That being said, you should still commit to a firm final date — if they haven’t replaced you by then, that’s on your employer and you shouldn’t feel guilty about leaving.

Return company property. Remember that you’ll have to turn over any company property when you resign. If you have laptops, tablets, phones, etc. with your personal information on them or you’re logged onto accounts on them, make sure to wipe everything clean.

Of course, if you need any important files from them, make sure to save them somewhere cloud-based or download them. So long as you’re not breaking a non-compete agreement by doing so.

Offer/get references. There’s no better time to lock down references than when you’re departing your job. It’s good practice to simultaneously offer references as you request them. You don’t have to get them from everyone you work with, but choose a few key people who can speak to your skill set.

Have a great final two weeks. You’re so close to the finish line — don’t give in to senioritis. Be the best employee you can be during your final two weeks. Help get your team in a good place without you, train people on what you were doing, and consider leaving a checklist of how you get your job done to help your replacement.

Why should you give a two weeks notice?

You should give a two-weeks notice because it helps you maintain a professional relationship with your employer. Your two weeks’ notice letter is one of the last ways a former boss is going to remember you and describe you as an employee in the future. Writing a good one gives you a chance to leave your job and still maintain the professional relationships you created.

What is considered two weeks notice?

Two weeks’ notice is considered to be 10 business days and/or 14 calendar days. There isn’t a law dictating this, so unless your employment contract specifies how much notice you have to give, it’s okay if it isn’t exactly two weeks. The point is just to give your employer enough time to at least begin the process of hiring someone to fill your position.

Can you get fired for giving a two weeks notice?

Yes, you can get fired for giving a two weeks notice. This doesn’t necessarily mean you did anything wrong, employers just typically have the right to terminate your employment early so they don’t have to pay you for the remaining two weeks.

This shouldn’t impact your professional reputation for future roles, but it may impact your bank account if you were counting on being paid all the way through until you start your next job. So, be prepared for this to be a possibility so you can enjoy your two weeks off as much as possible.

Should I give my two weeks’ notice on a Friday or Monday?

You should give your two weeks’ notice on a Friday. This isn’t a rule that’s set in stone, it’s just a good way to ensure that your last day will be on a Friday. However, giving your notice on a Monday is also a common thing to do.

In this case, you may also be able to have your last day land on a Friday, especially if you’ve already talked to your boss and are just turning in the letter as a formality.

Is two weeks’ notice 10 or 14 days?

Two weeks is typically at least 10 business days in advance. When you have an end date in mind, make sure to give your notice letter to your boss at least 10 business days from that date. You may give more days if you are able to stay longer, but two weeks is the standard.

Are you legally required to give a two weeks notice?

No, there are no laws requiring employees to give any notice before quitting. While you should check your policy before quitting because breached contracts may impact compensation or trigger a lawsuit, there are no laws stopping you from quitting without notice.

There are circumstances where you shouldn’t feel guilty about leaving without giving two weeks’ notice. Some prime examples of situations where you can leave in a jiffy include:

Your job is putting your health and safety at risk

Your supervisor asked you to do something illegal or unethical

You are being harassed, bullied, or abused at your job

Your new employer needs you to start immediately

Law District – What is a Two Weeks Notice Letter

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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College Essay Format: Top Writing and Editing Tips for 2024

A good college essay format, with the right topic, goes beyond describing your academic accomplishments and extracurriculars. Learn how to make your college essay stand out with these tips.

[Featured image] An aspiring college student works on her college essay with a notebook and laptop.

You want to stand out in a crowd, particularly when you’re applying to the college of your choice. As part of the application process, many schools ask for an essay to accompany the standard academic and personal information they require.

At its core, your college application essay tells a story that offers admissions officers a glimpse into who you are, beyond your grades, extracurricular activities, and test scores. Your college essay, often called a "personal statement," is your opportunity to reveal your personality and give an idea about the kind of student you'll be in college.

So how should a college essay be formatted? This article covers formatting best practices, how to choose a compelling topic for your essay, and tips to help you craft an essay that captures your reader's attention, clearly communicates its message, and is free from errors.

College essay format best practices

Your personal statement should tell a compelling story that effectively demonstrates your unique values and personality. While the format of your college essay is largely up to you, consequently, it can be helpful to have a sense of how you might format your essay before composing it.

Consider the following college essay format to organize your writing and craft the most compelling story possible.

1. Think about using a title.

A title for your college essay isn't necessary. But, including one could make your essay intriguing to readers. That said, if you're low on word count, skip a title altogether and just jump into your narrative. You can also wait until after you write your essay to decide. It's often easier to come up with a fitting, compelling title after you've told your story.

2. Open with a hook.

Your opening sentence is one of the most important parts of your essay. It's what you'll use to capture the attention of the reader and compel them to continue reading. The start of your essay is your opportunity to make an impactful first impression, so make your opening a good one.

Here are two examples of how you might craft an interesting hook for your essay:

Start in the middle of your story: Call out the most interesting point of your story, and then backtrack from there. For example, "And there I found myself, surrounded by baby sea turtles on the hazy shores of Virginia Beach."

Make a specific generalization: This is a sentence that makes a general statement on what your essay will be about but gives a specific description. An example: "Each year on our family vacation out of the city, I contemplate the meaning of life as we cross the Golden Gate Bridge."

3. Use your introduction to set up your story.

While your hook will spark the reader's curiosity, the rest of your introduction should give them an idea of where you're going with your essay. Set your story up in four to five sentences, making sure to only include information that is absolutely necessary to understand your story.

4. Tell your story in the body of your essay.

The Common Application has a 650 word limit for personal statements. That means, if both your introduction and conclusion are roughly 100 words each, your body will most likely end up being about 450 words. Think of that as three to five paragraphs, with each paragraph having its own main idea or point. 

Write in a narrative style—closer to how you might write a short story than an instruction manual. Tell your story in a way that’s logical, clear, and makes sense for what you're trying to convey about yourself.

While you should pay strict attention to using proper grammar and sentence structure, you have the freedom to make your essay a reflection of your personality. If you're a humorous person, use humor. If you're an eternal optimist or love getting into the minute details of life, let that shine through. But, keep in mind that your essay is fundamentally about highlighting the qualities that you'd bring to a college community, so keep your anecdotes focused and on point.

5. Use the conclusion to clarify your essay's core idea. 

Finish your story with a conclusion paragraph, where you clarify the value or idea you're trying to convey. What is the main thing you want the college to know about you through this story? Is it what you've learned, a value that's important to you, or what you want to contribute to society? Finally, use the last line of your personal statement to reinforce this central idea, so that your reader leaves with a clear impression about who you are. After the "hook" of your personal statement, the concluding line is the most important of your essay.

How to develop your college essay story

Now that you know how to format your college essay, we'll explore how to develop the story you'll tell in it. Here are some steps to get started:

1. Explore past college essay prompts

Over 900 colleges use Common App essay prompts, which means you may be able to write one essay for several college applications. Some past Common App college essay prompts—which are announced publicly each year—include the following topics:

Share a story about your background, interest, identity, or talent that makes you complete as a person.

Describe a time when you faced a setback, failure, or challenge and what you learned from it.

Tell about a topic, concept, or idea that is so captivating to you that you lose all track of time.

Write about something that someone has done for you that you are grateful for, and how gratitude has motivated or affected you.

These are broad topics that give you the freedom to tell all kinds of different things about yourself. Explore these questions to start brainstorming ideas of stories you may be able to tell about yourself.

There are a lot of potential prompts out there. Some of the other college essay prompts you might encounter include:

Describe a person you admire and how that person has influenced your behavior and thinking.

Why do you want to attend this school?

Describe your creative side.

Name an extracurricular activity that is meaningful to you and how it has impacted your life.

Tell about what you have done to make your community or school a better place.

2. Pick a topic.

Choose a topic that allows you to best highlight what you want the college to know about you. A good start is to list three positive adjectives that describe you. Then, see if you can write two or three real-life examples of each trait that demonstrates that you possess that characteristic.

If you're having trouble coming up with ideas, think about the stories other people tell about you or the positive words they use to describe you. Consider asking people who know you well the following questions:

What do you think sets me apart from others? 

What are my strengths? 

How would you describe my personality? 

What are my quirks?

These ideas can become the inspiration to develop material for a good college essay. You don't have to write about a major life-changing event. It can be a mundane or ordinary situation—like a dinner table conversation, a day at school, or a conversation with a friend. Often, slightly unusual topics are better than typical ones because they hold a reader's attention.

Regardless of the topic you choose, remember that the true topic of your college essay is you, and the purpose of it is to show how you are unique. It highlights an important piece of who you are and where you want to head in life.

3. Consider length.

Consult your college application instructions to see how long your essay should be. Typically, personal statements are between 500 and 650 words long, while supplemental essays are often around 250 to 300 words. Use the required essay length to help you determine what you will share. You won't be able to tell your life story within these few paragraphs, so choose the most impactful examples as your content. 

4. Outline your essay.

An outline helps you plan your essay's key points, including its beginning, middle, and end. Use your outline to stay on topic and get the most out of your word count.

The most effective outlines are usually the simplest. For instance, a good story has a beginning, middle, and end. Likewise, your essay will have an introduction, body, and conclusion. Unless the college requests a specific admission essay format, use the format you've been using to write essays in high school that you're likely to be the most comfortable with.

If you're stuck on how to open your essay, write the middle of your story first. Then, go back and write a compelling introduction and a concise conclusion.

Tips for writing your college essay

Your college essay format and writing should be both compelling in clear. So, as you're writing your college essay, keep these tips in mind:  

1. Be authentic.

One of the most essential parts of how to format a college application essay is to be authentic. The college wants to know who you are, and they will be reading dozens of essays a day. The best way to make yours stand out is to just be yourself instead of focusing on what you think they want to hear. 

Imagine you’re speaking to an actual person as you write. Be honest and accurate, using words you normally use. Your essay is a personal statement, so it should sound natural to the reader—and to you too.

2. Show you can write .

While the most important part of your personal statement is showcasing who you are, you'll also be judged on your writing ability. That's because knowing the fundamental principles of writing is important to college success. Show that you understand the structure of an essay and proper use of the English language.

3. Stay on topic.

If you're using a specific question as your writing prompt, answer the question directly in the opening paragraph. Then, use the rest of the essay to elaborate on your answer. Make good use of your word count limit by being concise and coherent. Stay on topic and refrain from adding any information that doesn't add to the main idea of your essay. 

4. Use concrete details to make your story come to life.

Your essay should describe a real-life event that you've experienced. And, to make that experience as vivid as possible for your reader, you'll want to lean into concrete details that effectively convey it through the written word. This adds color and validity to your personal statement. Personal examples will show you embody the characteristics or values you claim to, rather than merely saying you do.

5. Follow directions.

Read and understand the specific instructions set by the college for your essay. Then, review them again before you submit your essay to make sure you've met all of the requirements. Only once you're confident that you've followed them correctly and that your essay is free from any errors should you submit your essay.

How to edit your college essay

Once you've written your essay, you'll want to edit it until you’re satisfied it conveys your message and is free of errors. Let your first draft be as messy or pristine as it comes out. Then, go back later—several times if needed—to clean it up. Ask yourself these questions as you edit your essay:

Is my essay free of grammar, spelling, capitalization, and punctuation errors?

Is it the proper word length assigned by the college?

Have I answered the question in the prompt?

Does the introduction make me want to read more?

Are there any vague statements I can replace with more specific details?

Do any parts drone on or feel boring?

Does it feel too formal?

Are any parts or words repetitive?

Have I misused any words (such as there, their, and they're)?

Are my sentences varied in length?

Have I shared with the college what I most want them to know about me? 

It can also be helpful to ask someone you trust to read your essay and give you constructive feedback. This might be a trusted teacher, parent, school counselor, or college student. It's best to choose someone who is familiar with the purpose of a college essay.

Ask them to give feedback about your essay using the same questions as above. But they should never try to rewrite your essay. And never let others edit out your voice. Ask them to focus on grammar and mechanics and to give suggestions on items to add in or leave out. 

Above all, ask your guest editor what point they think you were trying to make with your essay. If they get it right, you know you've crafted a college essay that reflects you and your intended message. 

PSA: Save your essay drafts!

Instead of writing your essay directly in the online application, draft and save your essay in a document like Google Docs or Word—or start out on paper and pen if that's what you're most comfortable with. That way you can make edits and use helpful online spelling and grammar checkers. And, you won't risk losing your essay if the application times out or you navigate away from it by mistake.

When you copy and paste your essay into the application, make sure your formatting, such as line spacing and bolding for headings, remains intact.

Enhance your writing skills on Coursera

Bring out your best in your college essay with a course in Writing a Personal Essay from Wesleyan University. Learn how to find your voice, structure your essay, choose relevant details, and write in a way that pulls in your readers.

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Summer Reading Contest, Week 1: What Got Your Attention in The Times This Week?

To participate, submit your response here by June 14 at 9 a.m. Eastern. This week’s winners will be announced by June 26.

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Our 15th Annual Summer Reading Contest begins!

Every week for 10 weeks this summer we’re asking students “What got your attention in The New York Times this week? Why?” To participate in Week 1, choose something to read, watch or listen to in The Times and submit a response that answers those questions by 9 a.m. Eastern on June 14.

You can choose anything that was published in the print paper or on nytimes.com in 2024, including articles, photos, essays , videos , podcasts or graphics . We hope you’ll click around to find your own great pieces, but we also know that not everyone who participates has a Times subscription so, each week, you’ll find dozens of free links to interesting articles, features and multimedia below.

Students are invited to submit responses in the form of a 250-word comment OR a 90-second video. Please see the requirements for each type of response below and read the full rules and guidelines in our contest announcement before making your submissions.

Your responses will be read by New York Times journalists and staff, as well as educators from around the world. We’ll choose at least one favorite answer to feature on our site each week. Winners from Week 1 will be announced by June 26.

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1. choose a new york times piece..

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Expert Commentary

The four-day school week: Research shows benefits and consequences

To save money and help recruit teachers, many U.S. schools are taking Mondays or Fridays off. We look at research on how the four-day school week affects student test scores, attendance and behavior.

four day school week research

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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License .

by Denise-Marie Ordway, The Journalist's Resource September 6, 2023

This <a target="_blank" href="https://journalistsresource.org/education/four-day-school-week-research/">article</a> first appeared on <a target="_blank" href="https://journalistsresource.org">The Journalist's Resource</a> and is republished here under a Creative Commons license.<img src="https://journalistsresource.org/wp-content/uploads/2020/11/cropped-jr-favicon-150x150.png" style="width:1em;height:1em;margin-left:10px;">

We updated this piece on the four-day school week, originally published in June 2018, to include new figures, research and other information on Sept. 6, 2023.

Just over 2,100 schools in 26 states have switched to a four-day school week, often in hopes of recruiting teachers, saving money and boosting student attendance, according to the most recent estimate from the Four-Day School Week policy research team at Oregon State University.

Small, rural schools facing teacher shortages have led the trend, choosing to take Mondays or Fridays off and giving teachers and students a three-day weekend every week. To make up for the lost day of instruction, school officials tack time onto the remaining four days.

In places where schools have made the change, school district leaders have marveled at the resulting spikes in applications from teachers and other job seekers.

“The number of teacher applications that we’ve received have gone up more than 4-fold,” Dale Herl , superintendent of the Independence, Missouri school district, told CBS News last month .

Independence, which serves about 14,000 students outside Kansas City, introduced the new schedule when classes there resumed last month. In all, 30% of Missouri school districts now have a four-day school week, The Kansas City Star reported recently .

Schools nationwide faced teacher shortages long before the COVID-19 pandemic. But vacancies grew as the virus, which has killed 1.1 million Americans to date , spread.

In the spring before the pandemic, a total of 662 public school districts used the schedule – up more than 600% since 1999, Paul Thompson and Emily Morton , leading researchers in this field, write in a 2021 essay for the Brookings Institution. That number climbed to 876 during the 2022-23 academic year, Thompson and Morton told The Journalist’s Resource in email messages.

Brent Maddin , executive director of the Next Education Workforce project at Arizona State University, told The New York Times the pandemic has made many teachers feel more undervalued.

“If we’re serious about recruiting people into the profession, and retaining people in the profession, in addition to things like compensation we need to be focused on the working conditions,” he told the Times.

Scholars are still trying to understand the impact of cutting the school week by one day. Most studies focus on a single state or group of states, so their findings cannot be generalized to all schools on a four-day schedule. The research to date indicates:

  • The amount of time students spend in class varies from state to state.
  • Some schools offer less instructional time during a four-day school week than they did during a five-day week.
  • There’s limited cost savings, considering employee salaries and benefits make up the bulk of school expenses. In a 2021 analysis , Thompson estimates schools save 1% to 2% by shortening the school week by a day.
  • The impact of the condensed schedule differs depending on a range of factors, including the number of hours schools operate and how they structure their daily schedules. Recent research generally finds small drops in student achievement.
  • Staff morale improved under a four-day school week.
  • High school bullying and fighting declined.

“For journalists looking for a definitive answer to [the question] ‘Are four-day school weeks a good or bad thing?’, I would caution that it is still too early to tell,” Thompson, an associate professor of economics who is part of Oregon State’s Four-Day School Week policy research team, wrote to The Journalist’s Resource.

Both he and Morton urged journalists to explain that the amount of time schools dedicate to student learning makes a big difference.

“I think too often the importance of instructional time for the impacts of the policy is missed,” Morton, a researcher at the American Institutes of Research, wrote to JR. “It’s pretty critical to the story that districts with longer days (who are possibly delivering equal or more instructional time to their students than they were on a five-day week) are not seeing the same negative impacts that districts with shorter days are seeing.”

Keep reading to learn more about the research. We’ll update this collection periodically.

——————–

Impacts of the Four-Day School Week on Early Elementary Achievement Paul N. Thompson; et al. Early Childhood Research Quarterly, 2nd Quarter 2023.

Summary: This study is the first to examine the four-day school week’s impact on elementary schools’ youngest students. Researchers looked at how children in Oregon who went to school four days a week in kindergarten later performed in math and English Language Arts when they reached the third grade. What they found: Overall, there were “minimal and non-significant differences” in the test scores of third-graders who attended kindergarten on a four-day schedule between 2014 and 2016 and third-graders who went to kindergarten on a five-day schedule during the same period.

When the researchers studied individual groups of students, though, they noticed small differences. For example, when they looked only at children who had scored highest on their pre-kindergarten assessments of letter sounds, letter names and early math skills, they learned that kids who went to kindergarten four days a week scored a little lower on third-grade tests than those who had gone to kindergarten five days a week.

The researchers write that they find no statistically significant evidence of detrimental four-day school week achievement impacts, and even some positive impacts” for minority students, lower-income students,  special education students, students enrolled in English as a Second Language programs and students who scored in the lower half on pre-kindergarten assessments.

There are multiple reasons why lower-achieving students might be less affected by school schedules than high achievers, the researchers point out. For example, higher-achieving students “may miss out on specialized instruction — such as gifted and enrichment activities — that they would have had time to receive under a five-day school schedule,” they write.

Effects of 4-Day School Weeks on Older Adolescents: Examining Impacts of the Schedule on Academic Achievement, Attendance, and Behavior in High School Emily Morton. Educational Evaluation and Policy Analysis, June 2022.

Summary: Oklahoma high schools saw less fighting and bullying among students after switching from a five-day-a-week schedule to a four-day schedule, this study finds. Fighting declined by 0.79 incidents per 100 students and bullying dropped by 0.65 incidents per 100 students.

The other types of student discipline problems examined, including weapons possession, vandalism and truancy, did not change, according to the analysis, based on a variety of student and school data collected through 2019 from the Oklahoma State Department of Education and National Center for Education Statistics.

“Results indicate that 4-day school weeks decrease per-pupil bullying incidents by approximately 39% and per-pupil fighting incidents by approximately 31%,” writes the author, Emily Morton , a research scientist at NWEA, a nonprofit research organization formerly known as the Northwest Evaluation Association.

Morton did not investigate what caused the reduction in bullying and fighting. She did find that moving to a four-day schedule had “no detectable effect” on high school attendance or student scores on the ACT college-entrance exam.

Only a Matter of Time? The Role of Time in School on Four-Day School Week Achievement Impacts Paul N. Thompson and Jason Ward. Economics of Education Review, February 2022.

Summary: Student test scores in math and language arts dipped at some schools that adopted a four-day schedule but did not change at others, according to this analysis of school schedule switches in 12 states.

Researchers discovered “small reductions” in test scores for students in grades 3 through 8 at schools offering what the researchers call “low time in school.” These schools operate an average of 29.95 hours during the four-day week. The decline in test scores is described in terms of standard deviation , not units of measurement such as points or percentages.

At schools offering “middle time in school” — an average of 31.03 hours over four days — test scores among kids in grades 3 through 8 did not change, write the researchers, Paul N. Thompson , an associate professor of economics at Oregon State University, and Jason Ward , an associate economist at the RAND Corp., a nonprofit research organization.

Scores also did not change at schools providing “high time in school,” or 32.14 hours over a four-day school week, on average.

When describing this paper’s findings, it’s inaccurate to say researchers found that test scores dropped as a result of schools adopting a four-day schedule. It is correct to say test scores dropped, on average, across the schools the researchers studied. But it’s worth noting the relationship between test scores and the four-day school week differs according to the average number of hours those schools operate each week.

For this analysis, researchers examined school districts in states that allowed four-day school weeks during the 2008-2009 academic year through the 2017-2018 academic years. They chose to focus on the 12 states where four-day school weeks were most common. The data they used came from the Stanford Educational Data Archive and “a proprietary, longitudinal, national database” that tracked the use of four-day school weeks from 2009 to 2018.

The researchers write that their findings “suggest that four-day school weeks that operate with adequate levels of time in school have no clear negative effect on achievement and, instead, that it is operating four-day school weeks in a low-time-in-school environment that should be cautioned against.”

Three Midwest Rural School Districts’ First Year Transition to the Four Day School Week Jon Turner, Kim Finch and Ximena Uribe-Zarain. The Rural Educator, 2019.

Abstract: “The four-day school week is a concept that has been utilized in rural schools for decades to respond to budgetary shortfalls. There has been little peer-reviewed research on the four-day school week that has focused on the perception of parents who live in school districts that have recently switched to the four-day model. This study collects data from 584 parents in three rural Missouri school districts that have transitioned to the four-day school week within the last year. Quantitative statistical analysis identifies significant differences in the perceptions of parents classified by the age of children, special education identification, and free and reduced lunch status. Strong parental support for the four-day school week was identified in all demographic areas investigated; however, families with only elementary aged children and families with students receiving special education services were less supportive than other groups.”

Juvenile Crime and the Four-Day School Week Stefanie Fischer and Daniel Argyle. Economics of Education Review, 2018.

Abstract: “We leverage the adoption of a four-day school week across schools within the jurisdiction of rural law enforcement agencies in Colorado to examine the causal link between school attendance and youth crime. Those affected by the policy attend school for the same number of hours each week as students on a typical five-day week; however, treated students do not attend school on Friday. This policy allows us to learn about two aspects of the school-crime relationship that have previously been unstudied: one, the effects of a frequent and permanent schedule change on short-term crime, and two, the impact that school attendance has on youth crime in rural areas. Our difference-in-difference estimates show that following policy adoption, agencies containing students on a four-day week experience about a 20 percent increase in juvenile criminal offenses, where the strongest effect is observed for property crime.”

Staff Perspectives of the Four-Day School Week: A New Analysis of Compressed School Schedules Jon Turner , Kim Finch and Ximena Uribe – Zarian . Journal of Education and Training Studies, 2018.

Abstract: “The four-day school week is a concept that has been utilized in rural schools for decades to respond to budgetary shortfalls. There has been little peer-reviewed research on the four-day school week that has focused on the perception of staff that work in school districts that have recently switched to the four-day model. This study collects data from 136 faculty and staff members in three rural Missouri school districts that have transitioned to the four-day school week within the last year. Quantitative statistical analysis identifies strong support of the four-day school week model from both certified educational staff and classified support staff perspectives. All staff responded that the calendar change had improved staff morale, and certified staff responded that the four-day week had a positive impact on what is taught in classrooms and had increased academic quality. Qualitative analysis identifies staff suggestions for schools implementing the four-day school week including the importance of community outreach prior to implementation. No significant differences were identified between certified and classified staff perspectives. Strong staff support for the four-day school week was identified in all demographic areas investigated. Findings support conclusions made in research in business and government sectors that identify strong employee support of a compressed workweek across all work categories.”

The Economics of a Four-Day School Week: Community and Business Leaders’ Perspectives Jon Turner , Kim Finch and Ximena Uribe – Zarian . Journal of Education and Training Studies, 2018.

Abstract: “The four-day school week is a concept that has been utilized in rural schools in the United States for decades and the number of schools moving to the four-day school week is growing. In many rural communities, the school district is the largest regional employer which provides a region with permanent, high paying jobs that support the local economy. This study collects data from 71 community and business leaders in three rural school districts that have transitioned to the four-day school week within the last year. Quantitative statistical analysis is used to investigate the perceptions of community and business leaders related to the economic impact upon their businesses and the community and the impact the four-day school week has had upon perception of quality of the school district. Significant differences were identified between community/business leaders that currently have no children in school as compared to community/business leaders with children currently enrolled in four-day school week schools. Overall, community/business leaders were evenly divided concerning the economic impact on their businesses and the community. Community/business leaders’ perceptions of the impact the four-day school week was also evenly divided concerning the impact on the quality of the school district. Slightly more negative opinions were identified related to the economic impact on the profitability of their personal businesses which may impact considerations by school leaders. Overall, community/business leaders were evenly divided when asked if they would prefer their school district return to the traditional five-day week school calendar.”

Impact of a 4-Day School Week on Student Academic Performance, Food Insecurity, and Youth Crime Report from the Oklahoma State Department of Health’s Office of Partner Engagement, 2017.

Summary: “A Health Impact Assessment (HIA) utilizes a variety of data sources and analytic methods to evaluate the consequences of proposed or implemented policy on health. A rapid (HIA) was chosen to research the impact of the four-day school week on youth. The shift to a four-day school week was a strategy employed by many school districts in Oklahoma to address an $878 million budget shortfall, subsequent budget cuts, and teacher shortages. The HIA aimed to assess the impact of the four-day school week on student academic performance, food insecurity, and juvenile crime … An extensive review of literature and stakeholder engagement on these topic areas was mostly inconclusive or did not reveal any clear-cut evidence to identify effects of the four-day school week on student outcomes — academic performance, food insecurity or juvenile crime. Moreover, there are many published articles about the pros and cons of the four-day school week, but a lack of comprehensive research is available on the practice.”

Does Shortening the School Week Impact Student Performance? Evidence from the Four-Day School Week D. Mark Anderson and Mary Beth Walker. Education Finance and Policy, 2015.

Abstract: “School districts use a variety of policies to close budget gaps and stave off teacher layoffs and furloughs. More schools are implementing four-day school weeks to reduce overhead and transportation costs. The four-day week requires substantial schedule changes as schools must increase the length of their school day to meet minimum instructional hour requirements. Although some schools have indicated this policy eases financial pressures, it is unknown whether there is an impact on student outcomes. We use school-level data from Colorado to investigate the relationship between the four-day week and academic performance among elementary school students. Our results generally indicate a positive relationship between the four-day week and performance in reading and mathematics. These findings suggest there is little evidence that moving to a four-day week compromises student academic achievement. This research has policy relevance to the current U.S. education system, where many school districts must cut costs.”

Other resources

  • The Education Commission of the States offers a 50-state comparison of public school students’ instructional time requirements. For example, students in Colorado are required to be in school for a minimum of 160 days each academic year while in Vermont, the minimum is 175 days and in North Carolina, it’s 185.
  • The State of the American Teacher project offers insights into how teachers feel about their jobs and the education field as a whole. In early 2022, RAND Corp. surveyed a nationally representative sample of teachers, asking questions on topics such as job-related stress, school safety, COVID-19 mitigation policies and career plans. Survey results show that 56% of teachers who answered a question about their attitude toward their job “strongly” or “somewhat” agreed with the statement, “The stress and disappointments involved in teaching aren’t really worth it.” Meanwhile, 78% “strongly” or “somewhat” agreed with the statement, “I don’t seem to have as much enthusiasm now as I did when I began teaching.”
  • Opinions about the four-day school week vary among school board members, district-level administrators, school principals and teachers. These organizations can provide insights: the Schools Superintendents Association , National School Boards Association , National Association of Elementary School Principals and National Association of Secondary School Principals .

Looking for more research on public schools? Check out our other collections of research on student lunches , school uniforms,   teacher salaries and teacher misconduct .

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Denise-Marie Ordway

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The range of Apple Watch faces is now well over 50, with cool extras arriving on a regular basis, including the recent—and brilliant—Pride Radiance which landed in May alongside a vibrant new Pride Edition Braided Solo Loop . As Apple giveth, now Apple taketh away, it seems.

A key Apple Watch face is about to be discontinued.

When the next software is launched this fall, watchOS 11 will see one particular Watch face removed. As spotted by Zac Hall at 9to5Mac , the Siri Watch face is going to be retired. Of course, Apple could still reverse this decision, but I think that’s highly unlikely, and here’s why.

This is almost certainly the first time Apple has removed a Watch face, in contrast to all the ones that have been added. I counted 63 in this list from Apple , and it doesn’t include the new Pride Radiance. Not all are available for all Watches or all watchOS versions.

So, why is the Siri face going away?

Apple’s description of the Siri face is: “This face displays information that’s timely and helpful. It might be your next appointment, the traffic on your way home, or the time the sun sets, and you can tap to get more information. Turn the Digital Crown to scroll through your day. Press the Digital Crown to return to the watch face.”

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Apple's Siri face, on its way out.

Does that description remind you of anything else? Last year, Apple introduced the Smart Stack for Apple Watch. On the Watch face, any Watch face except one, you can turn the Digital Crown to scroll down the face and a list of information in the form of widgets. It shows items like your next appointment, weather and more.

In other words, the Smart Stack does almost exactly what the Siri face does. And, as you’ll have guessed that single Watch face that doesn’t work with is the Siri face.

The smarter Smart Stack in watchOS 11.

Nor does the double-tap mechanic which arrived with watchOS 10 for Apple Watch Series 9 and Apple Watch Ultra 2. It’s a slick maneuver that launches the Smart Stack one-handed.

Now, with watchOS 11, Apple has promised us a smarter Smart Stack. At least let’s be grateful they didn’t call it Smarter Stack. The widgets will appear based on the time, location and other aspects. It can show you the Shazam widget when the Watch spots there’s music nearby.

The next OS will also auto-launch the Smart Stack when a Live Activity is happening or music is being played.

Farewell then, Siri Watch face. Long live the smarter Smart Stack.

David Phelan

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