types of empirical dissertation

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What Is a Dissertation? | 5 Essential Questions to Get Started

Published on 26 March 2020 by Jack Caulfield . Revised on 5 May 2022.

A dissertation is a large research project undertaken at the end of a degree. It involves in-depth consideration of a problem or question chosen by the student. It is usually the largest (and final) piece of written work produced during a degree.

The length and structure of a dissertation vary widely depending on the level and field of study. However, there are some key questions that can help you understand the requirements and get started on your dissertation project.

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Table of contents

When and why do you have to write a dissertation, who will supervise your dissertation, what type of research will you do, how should your dissertation be structured, what formatting and referencing rules do you have to follow, frequently asked questions about dissertations.

A dissertation, sometimes called a thesis, comes at the end of an undergraduate or postgraduate degree. It is a larger project than the other essays you’ve written, requiring a higher word count and a greater depth of research.

You’ll generally work on your dissertation during the final year of your degree, over a longer period than you would take for a standard essay . For example, the dissertation might be your main focus for the last six months of your degree.

Why is the dissertation important?

The dissertation is a test of your capacity for independent research. You are given a lot of autonomy in writing your dissertation: you come up with your own ideas, conduct your own research, and write and structure the text by yourself.

This means that it is an important preparation for your future, whether you continue in academia or not: it teaches you to manage your own time, generate original ideas, and work independently.

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During the planning and writing of your dissertation, you’ll work with a supervisor from your department. The supervisor’s job is to give you feedback and advice throughout the process.

The dissertation supervisor is often assigned by the department, but you might be allowed to indicate preferences or approach potential supervisors. If so, try to pick someone who is familiar with your chosen topic, whom you get along with on a personal level, and whose feedback you’ve found useful in the past.

How will your supervisor help you?

Your supervisor is there to guide you through the dissertation project, but you’re still working independently. They can give feedback on your ideas, but not come up with ideas for you.

You may need to take the initiative to request an initial meeting with your supervisor. Then you can plan out your future meetings and set reasonable deadlines for things like completion of data collection, a structure outline, a first chapter, a first draft, and so on.

Make sure to prepare in advance for your meetings. Formulate your ideas as fully as you can, and determine where exactly you’re having difficulties so you can ask your supervisor for specific advice.

Your approach to your dissertation will vary depending on your field of study. The first thing to consider is whether you will do empirical research , which involves collecting original data, or non-empirical research , which involves analysing sources.

Empirical dissertations (sciences)

An empirical dissertation focuses on collecting and analysing original data. You’ll usually write this type of dissertation if you are studying a subject in the sciences or social sciences.

• What are airline workers’ attitudes towards the challenges posed for their industry by climate change?
• How effective is cognitive behavioural therapy in treating depression in young adults?
• What are the short-term health effects of switching from smoking cigarettes to e-cigarettes?

There are many different empirical research methods you can use to answer these questions – for example, experiments , observations, surveys , and interviews.

When doing empirical research, you need to consider things like the variables you will investigate, the reliability and validity of your measurements, and your sampling method . The aim is to produce robust, reproducible scientific knowledge.

Non-empirical dissertations (arts and humanities)

A non-empirical dissertation works with existing research or other texts, presenting original analysis, critique and argumentation, but no original data. This approach is typical of arts and humanities subjects.

• What attitudes did commentators in the British press take towards the French Revolution in 1789–1792?
• How do the themes of gender and inheritance intersect in Shakespeare’s Macbeth ?
• How did Plato’s Republic and Thomas More’s Utopia influence nineteenth century utopian socialist thought?

The first steps in this type of dissertation are to decide on your topic and begin collecting your primary and secondary sources .

Primary sources are the direct objects of your research. They give you first-hand evidence about your subject. Examples of primary sources include novels, artworks and historical documents.

Secondary sources provide information that informs your analysis. They describe, interpret, or evaluate information from primary sources. For example, you might consider previous analyses of the novel or author you are working on, or theoretical texts that you plan to apply to your primary sources.

Dissertations are divided into chapters and sections. Empirical dissertations usually follow a standard structure, while non-empirical dissertations are more flexible.

Structure of an empirical dissertation

Empirical dissertations generally include these chapters:

• Introduction : An explanation of your topic and the research question(s) you want to answer.
• Literature review : A survey and evaluation of previous research on your topic.
• Methodology : An explanation of how you collected and analysed your data.
• Results : A brief description of what you found.
• Discussion : Interpretation of what these results reveal.
• Conclusion : Answers to your research question(s) and summary of what your findings contribute to knowledge in your field.

Sometimes the order or naming of chapters might be slightly different, but all of the above information must be included in order to produce thorough, valid scientific research.

Other dissertation structures

If your dissertation doesn’t involve data collection, your structure is more flexible. You can think of it like an extended essay – the text should be logically organised in a way that serves your argument:

• Introduction: An explanation of your topic and the question(s) you want to answer.
• Main body: The development of your analysis, usually divided into 2–4 chapters.
• Conclusion: Answers to your research question(s) and summary of what your analysis contributes to knowledge in your field.

The chapters of the main body can be organised around different themes, time periods, or texts. Below you can see some example structures for dissertations in different subjects.

• Political philosophy

This example, on the topic of the British press’s coverage of the French Revolution, shows how you might structure each chapter around a specific theme.

This example, on the topic of Plato’s and More’s influences on utopian socialist thought, shows a different approach to dividing the chapters by theme.

This example, a master’s dissertation on the topic of how writers respond to persecution, shows how you can also use section headings within each chapter. Each of the three chapters deals with a specific text, while the sections are organised thematically.

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Like other academic texts, it’s important that your dissertation follows the formatting guidelines set out by your university. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

Formatting guidelines concern things like:

• line spacing
• page numbers
• punctuation
• title pages
• presentation of tables and figures

If you’re unsure about the formatting requirements, check with your supervisor or department. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

How will you reference your sources?

Referencing means properly listing the sources you cite and refer to in your dissertation, so that the reader can find them. This avoids plagiarism by acknowledging where you’ve used the work of others.

Keep track of everything you read as you prepare your dissertation. The key information to note down for a reference is:

• The publication date
• Page numbers for the parts you refer to (especially when using direct quotes)

Different referencing styles each have their own specific rules for how to reference. The most commonly used styles in UK universities are listed below.

You can use the free APA Reference Generator to automatically create and store your references.

APA Reference Generator

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.

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.

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The 7 Types of Dissertations Explained: Which One is Right for You?

Your dissertation is a pretty big deal and likely represents years of hard slog studying your subject of expertise.

But did you know there are 7 different types of dissertation ?

The purpose of this article is to demystify the various types of dissertations you might encounter or choose to undertake during your advanced studies. Armed with this knowledge, you can select the most appropriate methodology and framework for your research interests and academic requirements.

Each type of dissertation serves a different academic purpose and requires a unique approach and structure. In this article, we’ll take a look at these differences in detail, providing clear explanations and examples from a range of academic disciplines. By the end of this article, you should have a thorough understanding of the options available for your dissertation and be better prepared to select a path that aligns with your research goals and academic ambitions.

Remember, regardless of what type of dissertation you ultimately decide to pursue, best dissertation proofreading can make all the difference between a pass and a fail.

7 Types of Dissertation

Empirical dissertations.

So, let’s dive right in with empirical dissertations—arguably the most hands-on type of dissertation out there. If you’re studying a field like psychology, biology, or social sciences, you’re probably going to become very familiar with this approach.

What exactly is an empirical dissertation?

It’s all about gathering data. You’ll be conducting your own experiments, surveys, or observations, making this type extremely engaging (and a bit daunting). Essentially, you’re collecting new data from the world or from people, rather than relying on existing data from other studies.

The structure of an empirical dissertation is pretty straightforward but involves rigorous methodology. Typically, it will include an introduction to set up your SMART research question , a literature review to justify why this question needs answering, a methodology section that details how you’ve gone about your data collection, a results chapter presenting your findings, and a discussion that ties everything back to your research question and explores the implications.

This type of dissertation not only tests your ability to conduct research and analyze data but also challenges you to apply theoretical knowledge in practical scenarios. By the end of an empirical dissertation, you should not only have answers to your original questions but also a solid chunk of real-world experience under your belt.

Best suited to: Students who are ready to roll up their sleeves and get their hands dirty.

Theoretical Dissertations

Now, shifting gears, let’s talk about theoretical dissertations. If the empirical dissertation is the hands-on, muddy boots kind of research, the theoretical dissertation is its more contemplative, indoor cousin. Perfect for those of you in fields like philosophy, literature, or certain branches of sociology and psychology, where concrete data might not be the main focus.

What’s the deal with theoretical dissertations? They revolve around developing, exploring, or expanding on existing theories. Instead of collecting new data, you invest your time and effort studying existing research and theoretical frameworks to build an argument or propose a new theory or perspective on an old one.

The structure of a theoretical dissertation generally includes a comprehensive introduction where you lay out your thesis or theory, followed by a detailed literature review that supports and provides the foundation for your thesis. After this, you’ll move into a discussion or analysis section, where you critically analyze your thesis in the light of existing theories and literature. The aim here is to offer a fresh or refined perspective that contributes to the existing body of knowledge.

This type of dissertation is a test of your analytical skills and your ability to synthesize complex ideas into a coherent argument. It’s less about creating new paths and more about mapping the ones already laid out in new ways.

Best suited to: Students who love theory and thrive on crafting arguments.

Case Study Dissertations

Next up, it’s case study dissertations. This type of dissertation is especially attractive if you’re someone who loves storytelling with a purpose or is drawn to in-depth analysis of specific events, individuals, or organizations. It’s a favorite in disciplines like business, education, psychology, and social sciences, where a single case can lead to the development of new theories and concepts.

A case study dissertation involves an intensive investigation of a particular individual, group, organization, or event. You’ll get to the nitty gritty of the specifics, examining various aspects of the case to understand its implications and applications. This method allows you to apply theoretical concepts in a real-world context, providing rich insights that aren’t always accessible through broader surveys or experiments.

The structure of a case study dissertation usually starts with an introduction to the chosen case, followed by a literature review that sets the theoretical framework. You then proceed to a detailed methodology section explaining how you collected and analyzed your data. The core of your dissertation will likely be the case analysis chapter, where you dissect the case in relation to your research question. Finally, you’ll conclude with a discussion of how the case impacts the wider field and what new understandings it brings to the fore.

Best suited to: Those who are meticulous and have a keen eye for detail, a case study dissertation allows you to explore the intricacies of a specific example while contributing to broader academic debates.

Comparative Dissertations

Next up is the comparative dissertation. This type is tailor-made for the analytically minded who love drawing connections and distinctions between different elements. It’s particularly prevalent in fields like law, education, political science, and international relations, where understanding differences and similarities across cases, laws, or educational methods can provide critical insights.

Essentially, a comparative dissertation involves systematically comparing and contrasting two or more entities. These could be policies, theories, populations, or even historical periods, depending on your study area. The goal is to identify patterns or discrepancies that reveal underlying principles or suggest new interpretations of data.

The structure of a dissertation of this nature typically includes a dissertation abstract followed by an introduction that defines the entities being compared and poses your research question. This is followed by a literature review that frames the theoretical bases for comparison. The methodology section should clearly outline the criteria and methods for comparison, ensuring transparency and replicability. The subsequent chapters will then detail the comparative analysis, discussing each entity individually before bringing them together for a comprehensive comparison. Finally, the conclusion synthesizes the findings, highlighting the significance of the differences and similarities discovered.

Best suited to: Those who can juggle multiple themes and variables without losing sight of the overarching question, a comparative dissertation challenges you to remain objective and balanced in your analysis.

Project-Based Dissertations

Project-based dissertations are more practical in nature. This type of dissertation is particularly appealing if you’re inclined towards applying your theoretical knowledge to create something tangible or solve a real-world problem. It’s a common choice in fields like engineering, computer science, and applied arts, where the end product can be a piece of software, an engineering prototype, or a design project.

What makes a project-based dissertation stand out? It centers around a project that you will plan, execute, and manage through the duration of your dissertation process. This could involve designing a new gadget, developing a software program, or creating a marketing plan for a startup. The focus is on applying the skills and knowledge you’ve acquired through your studies to produce a project that has practical and theoretical implications.

The structure of a project-based dissertation generally includes an introduction to the project, its objectives, and its relevance to your field. Following this, you’ll provide a literature review that supports the theories and methodologies you intend to use. The methodology section should detail your project plan, resources, and the processes you will follow. The main body of the dissertation will describe the project development and implementation phases in detail. Finally, the conclusion will evaluate the project’s success, its impact, and potential future developments or applications.

Best suited to: The innovative and the practical, a project-based dissertation allows you to showcase your ability to deliver a concrete outcome that demonstrates your professional capabilities.

Narrative Dissertations

If you’re drawn to writing and storytelling, a narrative dissertation might be right up your alley. This type is particularly popular in fields such as creative arts, literature, and education, where personal narratives or creative elements can be used to explore and communicate complex ideas.

What does a narrative dissertation involve? It’s about crafting a dissertation that primarily uses narrative techniques to convey research findings or explore scholarly questions. This could mean writing in a first-person perspective, incorporating fictional elements, or structuring the dissertation like a series of interconnected stories or essays.

The structure of a narrative dissertation often deviates from the traditional format. It begins with an introduction that sets the stage for the narrative journey. The literature review might be woven into the narrative itself, providing contextual background as the story unfolds. The methodology section explains how narrative methods will be used to explore the research question. The main body is where the narrative takes center stage, presenting research through personal reflections, storytelling, or hypothetical scenarios. The conclusion then ties all narrative threads together, reflecting on the insights gained and their broader implications.

Best suited to: those who think and express themselves best through stories, a narrative dissertation allows you to engage with your topic in a deeply personal and creative way.

Systematic Review Dissertations

Systematic review dissertations are perfect if you’re keen on synthesizing existing research to draw comprehensive conclusions about a specific topic. This type is particularly valuable in fields like healthcare, psychology, and social sciences, where summarizing and evaluating existing studies can provide powerful insights and inform practice and policy.

A systematic review dissertation involves a rigorous and structured approach to reviewing literature. You’ll gather all relevant data from previously published studies to answer a specific research question. The focus is on transparency and reproducibility, employing predefined methods to minimize bias and provide reliable results.

The structure of a systematic review dissertation typically begins with an introduction that outlines the research question and its significance. This is followed by a methodologically detailed section that explains the criteria for selecting studies, the search strategy used, and the methods for data extraction and synthesis. The results section then presents a detailed analysis of the studies included in the review, often using quantitative methods like meta-analysis. The discussion interprets these findings, considering their implications for the field and any limitations. The conclusion suggests areas for further research and summarizes the contributions made by the review.

Best suited to: Those with a keen eye for detail and a systematic approach to research, a systematic review dissertation can significantly impact by clarifying and summarizing existing knowledge.

Methodological Considerations

Choosing the right type of dissertation is an important decision in your academic journey, and several factors should guide your selection. This section aims to help you navigate these choices, ensuring that the methodology and framework you choose align perfectly with your research goals, available resources, and time constraints.

First, consider your discipline’s requirements and norms. Different fields favor different types of dissertations, so understanding what is expected and respected in your area of study is crucial. Next, think about your own strengths and interests. Choose a dissertation type that not only meets academic criteria but also excites you and plays to your strengths, whether they lie in empirical research, theoretical exploration, practical application, or creative expression.

Resource availability is another critical factor. Some types of dissertations, like empirical and project-based, may require access to specific equipment, software, or locations, which can be a deciding factor. Time constraints are also essential to consider; some dissertations, particularly those involving extensive data collection and analysis, may require more time than others.

Finally, discuss your ideas with your advisor or mentor. They can provide valuable insights and feedback that can help you refine your choice and ensure that you are prepared to tackle the challenges ahead. With the right preparation and understanding of what each type of dissertation entails, you can make an informed decision that sets the stage for a successful and rewarding research endeavor.

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Dissertation – Format, Example and Template

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Dissertation

Definition:

Dissertation is a lengthy and detailed academic document that presents the results of original research on a specific topic or question. It is usually required as a final project for a doctoral degree or a master’s degree.

Dissertation Meaning in Research

In Research , a dissertation refers to a substantial research project that students undertake in order to obtain an advanced degree such as a Ph.D. or a Master’s degree.

Dissertation typically involves the exploration of a particular research question or topic in-depth, and it requires students to conduct original research, analyze data, and present their findings in a scholarly manner. It is often the culmination of years of study and represents a significant contribution to the academic field.

Types of Dissertation

Types of Dissertation are as follows:

Empirical Dissertation

An empirical dissertation is a research study that uses primary data collected through surveys, experiments, or observations. It typically follows a quantitative research approach and uses statistical methods to analyze the data.

Non-Empirical Dissertation

A non-empirical dissertation is based on secondary sources, such as books, articles, and online resources. It typically follows a qualitative research approach and uses methods such as content analysis or discourse analysis.

Narrative Dissertation

A narrative dissertation is a personal account of the researcher’s experience or journey. It typically follows a qualitative research approach and uses methods such as interviews, focus groups, or ethnography.

Systematic Literature Review

A systematic literature review is a comprehensive analysis of existing research on a specific topic. It typically follows a qualitative research approach and uses methods such as meta-analysis or thematic analysis.

Case Study Dissertation

A case study dissertation is an in-depth analysis of a specific individual, group, or organization. It typically follows a qualitative research approach and uses methods such as interviews, observations, or document analysis.

Mixed-Methods Dissertation

A mixed-methods dissertation combines both quantitative and qualitative research approaches to gather and analyze data. It typically uses methods such as surveys, interviews, and focus groups, as well as statistical analysis.

How to Write a Dissertation

Here are some general steps to help guide you through the process of writing a dissertation:

• Choose a topic : Select a topic that you are passionate about and that is relevant to your field of study. It should be specific enough to allow for in-depth research but broad enough to be interesting and engaging.
• Conduct research : Conduct thorough research on your chosen topic, utilizing a variety of sources, including books, academic journals, and online databases. Take detailed notes and organize your information in a way that makes sense to you.
• Create an outline : Develop an outline that will serve as a roadmap for your dissertation. The outline should include the introduction, literature review, methodology, results, discussion, and conclusion.
• Write the introduction: The introduction should provide a brief overview of your topic, the research questions, and the significance of the study. It should also include a clear thesis statement that states your main argument.
• Write the literature review: The literature review should provide a comprehensive analysis of existing research on your topic. It should identify gaps in the research and explain how your study will fill those gaps.
• Write the methodology: The methodology section should explain the research methods you used to collect and analyze data. It should also include a discussion of any limitations or weaknesses in your approach.
• Write the results: The results section should present the findings of your research in a clear and organized manner. Use charts, graphs, and tables to help illustrate your data.
• Write the discussion: The discussion section should interpret your results and explain their significance. It should also address any limitations of the study and suggest areas for future research.
• Write the conclusion: The conclusion should summarize your main findings and restate your thesis statement. It should also provide recommendations for future research.
• Edit and revise: Once you have completed a draft of your dissertation, review it carefully to ensure that it is well-organized, clear, and free of errors. Make any necessary revisions and edits before submitting it to your advisor for review.

Dissertation Format

The format of a dissertation may vary depending on the institution and field of study, but generally, it follows a similar structure:

• Title Page: This includes the title of the dissertation, the author’s name, and the date of submission.
• Abstract : A brief summary of the dissertation’s purpose, methods, and findings.
• Table of Contents: A list of the main sections and subsections of the dissertation, along with their page numbers.
• Introduction : A statement of the problem or research question, a brief overview of the literature, and an explanation of the significance of the study.
• Literature Review : A comprehensive review of the literature relevant to the research question or problem.
• Methodology : A description of the methods used to conduct the research, including data collection and analysis procedures.
• Results : A presentation of the findings of the research, including tables, charts, and graphs.
• Discussion : A discussion of the implications of the findings, their significance in the context of the literature, and limitations of the study.
• Conclusion : A summary of the main points of the study and their implications for future research.
• References : A list of all sources cited in the dissertation.
• Appendices : Additional materials that support the research, such as data tables, charts, or transcripts.

Dissertation Outline

Dissertation Outline is as follows:

Title Page:

• Title of dissertation
• Author name
• Institutional affiliation
• Date of submission
• Brief summary of the dissertation’s research problem, objectives, methods, findings, and implications
• Usually around 250-300 words

Table of Contents:

• List of chapters and sections in the dissertation, with page numbers for each

I. Introduction

• Background and context of the research
• Research problem and objectives
• Significance of the research

II. Literature Review

• Overview of existing literature on the research topic
• Identification of gaps in the literature
• Theoretical framework and concepts

III. Methodology

• Research design and methods used
• Data collection and analysis techniques
• Ethical considerations

IV. Results

• Presentation and analysis of data collected
• Findings and outcomes of the research
• Interpretation of the results

V. Discussion

• Discussion of the results in relation to the research problem and objectives
• Evaluation of the research outcomes and implications
• Suggestions for future research

VI. Conclusion

• Summary of the research findings and outcomes
• Implications for the research topic and field
• Limitations and recommendations for future research

VII. References

• List of sources cited in the dissertation

VIII. Appendices

• Additional materials that support the research, such as tables, figures, or questionnaires.

Example of Dissertation

Here is an example Dissertation for students:

Title : Exploring the Effects of Mindfulness Meditation on Academic Achievement and Well-being among College Students

This dissertation aims to investigate the impact of mindfulness meditation on the academic achievement and well-being of college students. Mindfulness meditation has gained popularity as a technique for reducing stress and enhancing mental health, but its effects on academic performance have not been extensively studied. Using a randomized controlled trial design, the study will compare the academic performance and well-being of college students who practice mindfulness meditation with those who do not. The study will also examine the moderating role of personality traits and demographic factors on the effects of mindfulness meditation.

Chapter Outline:

Chapter 1: Introduction

• Background and rationale for the study
• Research questions and objectives
• Significance of the study
• Overview of the dissertation structure

Chapter 2: Literature Review

• Definition and conceptualization of mindfulness meditation
• Theoretical framework of mindfulness meditation
• Empirical research on mindfulness meditation and academic achievement
• Empirical research on mindfulness meditation and well-being
• The role of personality and demographic factors in the effects of mindfulness meditation

Chapter 3: Methodology

• Research design and hypothesis
• Participants and sampling method
• Intervention and procedure
• Measures and instruments
• Data analysis method

Chapter 4: Results

• Descriptive statistics and data screening
• Analysis of main effects
• Analysis of moderating effects
• Post-hoc analyses and sensitivity tests

Chapter 5: Discussion

• Summary of findings
• Implications for theory and practice
• Limitations and directions for future research
• Conclusion and contribution to the literature

Chapter 6: Conclusion

• Recap of the research questions and objectives
• Summary of the key findings
• Contribution to the literature and practice
• Implications for policy and practice
• Final thoughts and recommendations.

References :

List of all the sources cited in the dissertation

Appendices :

Additional materials such as the survey questionnaire, interview guide, and consent forms.

Note : This is just an example and the structure of a dissertation may vary depending on the specific requirements and guidelines provided by the institution or the supervisor.

How Long is a Dissertation

The length of a dissertation can vary depending on the field of study, the level of degree being pursued, and the specific requirements of the institution. Generally, a dissertation for a doctoral degree can range from 80,000 to 100,000 words, while a dissertation for a master’s degree may be shorter, typically ranging from 20,000 to 50,000 words. However, it is important to note that these are general guidelines and the actual length of a dissertation can vary widely depending on the specific requirements of the program and the research topic being studied. It is always best to consult with your academic advisor or the guidelines provided by your institution for more specific information on dissertation length.

Applications of Dissertation

Here are some applications of a dissertation:

• Advancing the Field: Dissertations often include new research or a new perspective on existing research, which can help to advance the field. The results of a dissertation can be used by other researchers to build upon or challenge existing knowledge, leading to further advancements in the field.
• Career Advancement: Completing a dissertation demonstrates a high level of expertise in a particular field, which can lead to career advancement opportunities. For example, having a PhD can open doors to higher-paying jobs in academia, research institutions, or the private sector.
• Publishing Opportunities: Dissertations can be published as books or journal articles, which can help to increase the visibility and credibility of the author’s research.
• Personal Growth: The process of writing a dissertation involves a significant amount of research, analysis, and critical thinking. This can help students to develop important skills, such as time management, problem-solving, and communication, which can be valuable in both their personal and professional lives.
• Policy Implications: The findings of a dissertation can have policy implications, particularly in fields such as public health, education, and social sciences. Policymakers can use the research to inform decision-making and improve outcomes for the population.

When to Write a Dissertation

Here are some situations where writing a dissertation may be necessary:

• Pursuing a Doctoral Degree: Writing a dissertation is usually a requirement for earning a doctoral degree, so if you are interested in pursuing a doctorate, you will likely need to write a dissertation.
• Conducting Original Research : Dissertations require students to conduct original research on a specific topic. If you are interested in conducting original research on a topic, writing a dissertation may be the best way to do so.
• Advancing Your Career: Some professions, such as academia and research, may require individuals to have a doctoral degree. Writing a dissertation can help you advance your career by demonstrating your expertise in a particular area.
• Contributing to Knowledge: Dissertations are often based on original research that can contribute to the knowledge base of a field. If you are passionate about advancing knowledge in a particular area, writing a dissertation can help you achieve that goal.
• Meeting Academic Requirements : If you are a graduate student, writing a dissertation may be a requirement for completing your program. Be sure to check with your academic advisor to determine if this is the case for you.

Purpose of Dissertation

some common purposes of a dissertation include:

• To contribute to the knowledge in a particular field : A dissertation is often the culmination of years of research and study, and it should make a significant contribution to the existing body of knowledge in a particular field.
• To demonstrate mastery of a subject: A dissertation requires extensive research, analysis, and writing, and completing one demonstrates a student’s mastery of their subject area.
• To develop critical thinking and research skills : A dissertation requires students to think critically about their research question, analyze data, and draw conclusions based on evidence. These skills are valuable not only in academia but also in many professional fields.
• To demonstrate academic integrity: A dissertation must be conducted and written in accordance with rigorous academic standards, including ethical considerations such as obtaining informed consent, protecting the privacy of participants, and avoiding plagiarism.
• To prepare for an academic career: Completing a dissertation is often a requirement for obtaining a PhD and pursuing a career in academia. It can demonstrate to potential employers that the student has the necessary skills and experience to conduct original research and make meaningful contributions to their field.
• To develop writing and communication skills: A dissertation requires a significant amount of writing and communication skills to convey complex ideas and research findings in a clear and concise manner. This skill set can be valuable in various professional fields.
• To demonstrate independence and initiative: A dissertation requires students to work independently and take initiative in developing their research question, designing their study, collecting and analyzing data, and drawing conclusions. This demonstrates to potential employers or academic institutions that the student is capable of independent research and taking initiative in their work.
• To contribute to policy or practice: Some dissertations may have a practical application, such as informing policy decisions or improving practices in a particular field. These dissertations can have a significant impact on society, and their findings may be used to improve the lives of individuals or communities.
• To pursue personal interests: Some students may choose to pursue a dissertation topic that aligns with their personal interests or passions, providing them with the opportunity to delve deeper into a topic that they find personally meaningful.

Advantage of Dissertation

Some advantages of writing a dissertation include:

• Developing research and analytical skills: The process of writing a dissertation involves conducting extensive research, analyzing data, and presenting findings in a clear and coherent manner. This process can help students develop important research and analytical skills that can be useful in their future careers.
• Demonstrating expertise in a subject: Writing a dissertation allows students to demonstrate their expertise in a particular subject area. It can help establish their credibility as a knowledgeable and competent professional in their field.
• Contributing to the academic community: A well-written dissertation can contribute new knowledge to the academic community and potentially inform future research in the field.
• Improving writing and communication skills : Writing a dissertation requires students to write and present their research in a clear and concise manner. This can help improve their writing and communication skills, which are essential for success in many professions.
• Increasing job opportunities: Completing a dissertation can increase job opportunities in certain fields, particularly in academia and research-based positions.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

• Acknowledgements page
• Abstract (or executive summary)
• Table of contents , list of figures and tables
• Chapter 1: Introduction
• Chapter 2: Literature review
• Chapter 3: Methodology
• Chapter 4: Results
• Chapter 5: Discussion
• Chapter 6: Conclusion
• Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

• The introduction chapter presents the core research question and aims .
• The literature review chapter assesses what the current research says about this question.
• The methodology, results and discussion chapters go about undertaking new research about this question.
• The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

• Succinct (not overly lengthy or verbose)
• Specific (not vague or ambiguous)
• Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

• The broader area of the research (i.e. the overarching topic)
• The specific focus of your research (i.e. your specific context)
• Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

• Your dissertation supervisor or committee.
• Any professors, lecturers or academics that helped you understand the topic or methodologies.
• Any tutors, mentors or advisors.
• Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

• Your research questions and aims – what key question(s) did your research aim to answer?
• Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
• Your findings – following your own research, what did do you discover?
• Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

• What will you be investigating (in plain-language, big picture-level)?
• Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
• What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
• What is the scope of your study? In other words, what will and won’t you cover ?
• How will you approach your research? In other words, what methodology will you adopt?
• How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

• What does the literature currently say about the topic you’re investigating?
• Is the literature lacking or well established? Is it divided or in disagreement?
• How does your research fit into the bigger picture?
• How does your research contribute something original?
• How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

• Exactly HOW will you carry out your research (i.e. what is your intended research design)?
• Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings . In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

• Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

Psst... there’s more!

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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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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Library Guides

Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.  

Definitions  

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:  

Secondary sources 

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.  

Primary sources 

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123). 

Primary data 

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316). 

Secondary data 

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).   

Comparison between primary and secondary data   

Use  

Virtually all research will use secondary sources, at least as background information. 

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'. 

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.    

Ultimately, you should state in this section of the methodology: 

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis. 

If using primary data, why you employed certain strategies to collect them. 

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature). 

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages. 

Quantitative research 

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496). 

Qualitative research  

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.  

Mixed methods 

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.  

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138). 

Ultimately, your methodology chapter should state: 

Whether you used quantitative research, qualitative research or mixed methods. 

Why you chose such methods (and refer to research method sources). 

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis. 

Whatever methods you will use, you will need to consider: 

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose? 

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?) 

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

procedure of the research (see box procedural method...).  

Check Stella Cottrell's book  Dissertations and Project Reports: A Step by Step Guide  for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.  

Experiments 

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations. 

For more information on Scientific Method, click here . 

Observations 

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.  

Questionnaires and surveys 

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements. 

Interviews  

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142). 

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods. 

Focus groups   

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views. 

This video focuses on strategies for conducting research using focus groups.  

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box. 

Case study 

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.     

Content analysis 

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:  

Research Methods  

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection. 

Doing your dissertation during the COVID-19 pandemic  

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts; 

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication. 

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!). 

Include specifics about participants, sample, materials, design and methods. 

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.  

Describe all materials used for the study, including equipment, written materials and testing instruments. 

Identify the study's design and any variables or controls employed. 

Write out the steps in the order that they were completed. 

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected. 

Specify statistical techniques applied to the data to reach your conclusions. 

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design. 

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly. 

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research. 

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources.  The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015).  Research Methods for Business Students.  New York: Pearson Education. 

Specht, D. (2019).  The Media And Communications Study Skills Student Guide . London: University of Westminster Press.  

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Empirical research in the social sciences and education.

• What is Empirical Research and How to Read It
• Finding Empirical Research in Library Databases
• Designing Empirical Research
• Ethics, Cultural Responsiveness, and Anti-Racism in Research
• Citing, Writing, and Presenting Your Work

Contact the Librarian at your campus for more help!

Introduction: What is Empirical Research?

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology."  Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or   phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology: sometimes called "research design" -- how to recreate the study -- usually describes the population, research process, and analytical tools used in the present study
• Results : sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

Reading and Evaluating Scholarly Materials

Reading research can be a challenge. However, the tutorials and videos below can help. They explain what scholarly articles look like, how to read them, and how to evaluate them:

• CRAAP Checklist A frequently-used checklist that helps you examine the currency, relevance, authority, accuracy, and purpose of an information source.
• IF I APPLY A newer model of evaluating sources which encourages you to think about your own biases as a reader, as well as concerns about the item you are reading.
• Credo Video: How to Read Scholarly Materials (4 min.)
• Credo Tutorial: How to Read Scholarly Materials
• Credo Tutorial: Evaluating Information
• Credo Video: Evaluating Statistics (4 min.)
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• URL: https://guides.libraries.psu.edu/emp

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Empirical Research: Defining, Identifying, & Finding

Defining empirical research, what is empirical research, quantitative or qualitative.

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Calfee & Chambliss (2005)  (UofM login required) describe empirical research as a "systematic approach for answering certain types of questions."  Those questions are answered "[t]hrough the collection of evidence under carefully defined and replicable conditions" (p. 43). 

The evidence collected during empirical research is often referred to as "data." 

Characteristics of Empirical Research

Emerald Publishing's guide to conducting empirical research identifies a number of common elements to empirical research: 

• A  research question , which will determine research objectives.
• A particular and planned  design  for the research, which will depend on the question and which will find ways of answering it with appropriate use of resources.
• The gathering of  primary data , which is then analysed.
• A particular  methodology  for collecting and analysing the data, such as an experiment or survey.
• The limitation of the data to a particular group, area or time scale, known as a sample [emphasis added]: for example, a specific number of employees of a particular company type, or all users of a library over a given time scale. The sample should be somehow representative of a wider population.
• The ability to  recreate  the study and test the results. This is known as  reliability .
• The ability to  generalize  from the findings to a larger sample and to other situations.

If you see these elements in a research article, you can feel confident that you have found empirical research. Emerald's guide goes into more detail on each element. 

Empirical research methodologies can be described as quantitative, qualitative, or a mix of both (usually called mixed-methods).

Ruane (2016)  (UofM login required) gets at the basic differences in approach between quantitative and qualitative research:

• Quantitative research  -- an approach to documenting reality that relies heavily on numbers both for the measurement of variables and for data analysis (p. 33).
• Qualitative research  -- an approach to documenting reality that relies on words and images as the primary data source (p. 33).

Both quantitative and qualitative methods are empirical . If you can recognize that a research study is quantitative or qualitative study, then you have also recognized that it is empirical study. 

Below are information on the characteristics of quantitative and qualitative research. This video from Scribbr also offers a good overall introduction to the two approaches to research methodology: 

Characteristics of Quantitative Research 

Researchers test hypotheses, or theories, based in assumptions about causality, i.e. we expect variable X to cause variable Y. Variables have to be controlled as much as possible to ensure validity. The results explain the relationship between the variables. Measures are based in pre-defined instruments.

Examples: experimental or quasi-experimental design, pretest & post-test, survey or questionnaire with closed-ended questions. Studies that identify factors that influence an outcomes, the utility of an intervention, or understanding predictors of outcomes. 

Characteristics of Qualitative Research

Researchers explore “meaning individuals or groups ascribe to social or human problems (Creswell & Creswell, 2018, p3).” Questions and procedures emerge rather than being prescribed. Complexity, nuance, and individual meaning are valued. Research is both inductive and deductive. Data sources are multiple and varied, i.e. interviews, observations, documents, photographs, etc. The researcher is a key instrument and must be reflective of their background, culture, and experiences as influential of the research.

Examples: open question interviews and surveys, focus groups, case studies, grounded theory, ethnography, discourse analysis, narrative, phenomenology, participatory action research.

Calfee, R. C. & Chambliss, M. (2005). The design of empirical research. In J. Flood, D. Lapp, J. R. Squire, & J. Jensen (Eds.),  Methods of research on teaching the English language arts: The methodology chapters from the handbook of research on teaching the English language arts (pp. 43-78). Routledge.  http://ezproxy.memphis.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=125955&site=eds-live&scope=site .

Creswell, J. W., & Creswell, J. D. (2018).  Research design: Qualitative, quantitative, and mixed methods approaches  (5th ed.). Thousand Oaks: Sage.

How to... conduct empirical research . (n.d.). Emerald Publishing.  https://www.emeraldgrouppublishing.com/how-to/research-methods/conduct-empirical-research .

Scribbr. (2019). Quantitative vs. qualitative: The differences explained  [video]. YouTube.  https://www.youtube.com/watch?v=a-XtVF7Bofg .

Ruane, J. M. (2016).  Introducing social research methods : Essentials for getting the edge . Wiley-Blackwell.  http://ezproxy.memphis.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1107215&site=eds-live&scope=site .  

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Dissertation Writing Guide

• 35-minute read
• 12th February 2021

How to Write a Great Thesis

This guide will explain how to write a great undergraduate or master’s thesis (see our Essay Writing Guide  for advice on shorter academic documents).

Use the list to the left to select an aspect of dissertation writing to learn about.

What Is a Thesis?

A thesis is a longer, in-depth paper written at the end of an undergraduate or master’s degree. It will be on a subject you choose yourself and involve self-directed research, although with some help from a tutor or advisor. The thesis may make a significant contribution towards your final grade, so it is very important. We will use the word “thesis” throughout this guide, but some also call this final project a “dissertation.” 

The idea of an undergraduate thesis (also known as a “senior project” or “senior thesis”) is to demonstrate the skills and knowledge developed during your studies. Not every undergraduate will need to do a senior thesis, but they are common in some schools and may be required if you’re planning on enrolling for a postgraduate course.

A master’s thesis is the final project on a master’s degree. It will usually be longer and more detailed than an undergraduate thesis. You may also be required to make an original contribution (i.e., put forward a new argument) as well as demonstrating your knowledge.

Depending on your subject area, your thesis may be empirical or non-empirical:

• Empirical theses are more common in the sciences. They involve collecting and analyzing data, then writing this up with your findings and conclusions.
• Non-empirical theses are more common in the humanities. They involve researching existing data, ideas, and arguments, then offering a critical analysis or making an argument of your own based on your research.

In this guide, we will discuss both types of thesis, highlighting any differences as they become relevant. We will not look at how to write a doctoral dissertation, which is usually even longer and more complex, but many of the same skills apply.

KEY NOTE: Most colleges and universities have detailed guidelines for how students should write a thesis, including any stylistic or procedural requirements. The advice below will be designed to apply to any thesis-length project, but you still need to check what your institution requires if you are writing a thesis or dissertation.

Planning a Thesis or Dissertation

The first step in writing a thesis is making a plan. This may include several steps.

Selecting a Topic

Since a thesis is self-directed, you will need to decide what to research. This is an important decision, so don’t rush it! Tips for selecting a thesis topic include:

• Think about your interests – Try to pick something that reflects your interests. Is there something from your prior studies you wish you’d had more time with? Some subject area that you found especially engaging? Something you read about that you didn’t get the chance to study? Something relevant to your career plans? A thesis is a major project, so make sure it focuses on something you care about!
• Aim for originality – Try to find a unique issue or problem to address. This doesn’t necessarily mean conducting entirely original research (it will be hard to find something nobody has ever written about). But you can try to find a new angle on an existing idea or problem (e.g., applying an established theory in a new area). This is especially important for a master’s thesis, where originality is valued.
• Think about the scope – Try to pick a problem that you think you can answer within the word limit of your thesis. This should be something fairly in depth so you can show off your skills and hit the word count. But it should also be narrow enough that you can finish it in time and without massively overwriting!
• Do some research – If you have an idea for something you might want to write about, do a little preliminary research. This will help you focus your idea by seeing what other people have already said on the subject. It may even help you identify a new angle from which to approach the issue. And if you do a little research on a few potential topics, you can be sure you’ve picked the right one for your thesis.
• Be realistic – As with the scope of your chosen topic, you need to be realistic about what you can do with the time and resources available. Would your topic require access to specialist equipment or resources? Would it require traveling? Are there any potential costs? Think about how easy it will be to conduct your research.  
• Ask for advice – Once you have a basic idea of what you might want to write about, ask your tutor or lecturer for advice. They will have a good sense of whether it is a suitable subject for a thesis and may have suggestions for how to approach it.

And once you’ve selected a topic, you’ll want to check what your school requires for a dissertation. Usually, you will need to submit a research proposal of some kind for approval. Minimally, though, you will need to decide on a research question.

Setting a Research Question

The “ research question ” is the question you’ll seek to answer in your thesis. This should narrow the focus of your thesis down even more, giving you a distinct problem to address. To formulate a research question, try to come up with something that:

• Clearly sets out the focus of your research
• Has a limited enough scope to answer in one paper
• Is complex enough to warrant in-depth discussion and investigation
• Is relevant to your field of study (e.g. it fills a gap in the research)

For instance, you may be interested in viral marketing techniques. However, since this would be a very broad topic for a thesis, you would then need to look for a specific question to answer, such as how do social media influencers affect a viral advertising campaign? You could even narrow this down further by framing a question around a specific case study.

We can see some examples of “good” and “bad” questions below.

In this case, the “bad” question is too broad. It would take several book-length essays to even start answering! The second question is much narrower, focusing on the effect of climate change on one species in one region, making it easier to answer.

In this case, the “bad” question is too narrow. It could be answered by searching on google and simply setting out the policies you find. The second question, meanwhile, is open to debate and does not have a simple answer, so there is scope for good research.

As with your thesis topic, once you have come up with a research question, speak to your advisor or tutor. They may have some guidance on how to refine it.

Writing a Research Proposal

Some colleges will ask you to write a research proposal – i.e., a detailed description of your proposed research project – before they approve your thesis. And even if you don’t have to do this, writing a research proposal can be a useful way to organize your thoughts before you begin writing. This may include information on the following:

• A proposed title
• Your research question/ objectives
• Why your research is significant (e.g., what it contributes to your field of study or how it could be used to help solve a practical problem)
• An initial literature review (i.e., a look at existing research in the subject area)
• A thesis chapter outline (see below for tips on structure)
• Your methods (i.e., how you will conduct research or experimentation)
• A justification for why you will study the topic in the manner set out
• Logistical and ethical considerations
• Potential limitations on your research project
• A reference list or bibliography
• A research timeline breaking down when you will complete each stage of the project, including writing up and editing your thesis
• Any information on projected expenses or budget

You won’t always need all the above. This will depend on your school’s requirements, your subject area, and the scope of your thesis project. In essence, though, you need to set out what you want to achieve, why you want to do this, and how you intend to accomplish it.

One thing to note here is that your plan may change later on. Research can be difficult to predict, so you may need to adapt your plan after you start work on your thesis. You might find, for example, that your research question was too broad. Or you might encounter an obstacle that forces you to adapt your plans. This is completely normal!

As such, don’t stress too much about making your research plan “perfect.” Your real aim is to prove that you’ve thought seriously about your thesis, that you’re capable of planning a research project, and that you’re committed to producing high quality work.

Once your school has approved your plan, you will be ready to begin work on your thesis.

Conducting Research

Any thesis will require engaging with past research. This may be for a literature review before conducting your own experimental study. Or, in a more theoretical thesis (e.g., historical analysis or literary criticism), it may make up a large proportion of your work.

You will have done some research already as part of your proposal. But most of it will come after your thesis has been approved. Exactly what this will involve will depend on your subject area and research question, but we will look at a few common issues below.

Creating a Research Plan

Creating a plan will help you focus your research. To do this, break your thesis down into steps and set aside time for each task you need to complete. You’ll then know exactly how much you need to do and how long you will need to do it. This may include:

• Studying existing literature on your research topic
• Designing a study or experiment
• Conducting primary research

When creating this plan, be realistic about how long each stage will take. And make sure to leave time for writing and editing your thesis once you’ve finished the research!

Top Tip! You can actually start writing while you’re still doing research or gathering data. For example, if you’re working on your design study, you can start making notes for your methodology section. This will save time when you come to write your thesis, as you should have all the information you need in one place, ready to be written up.

Selecting Sources

Part of efficient research is selecting the best sources for your project, as reading every single book or article on a subject would take far too long. This may involve:

• Using what you know from your studies as a starting point for finding relevant sources. Asking your tutors or lecturers for recommendations is another good idea.
• Checking the reference lists in good sources for similar titles.
• Developing a strong search strategy to find sources online or in databases. This means testing keywords and using filters to narrow searches.

If you are doing research online, make sure you’re using reliable academic sources, too. For instance, a reputable journal or a university website should be trustworthy. But a blog post with no cited sources or author information will not be suitable for academic writing. Likewise, Wikipedia is not an academic source, though you can check the citations to find sources.

Top Tip! If you are writing a thesis in the humanities, the majority of your work may involve analyzing, criticizing, and comparing secondary sources or ideas from these sources. As such, it is vital to find and engage with the major thinkers in your subject area.

For instance, if you were writing about behavioral psychology, and your thesis did not acknowledge or engage with B. F. Skinner – a hugely influential figure in behaviorism – at any point, your marker may assume you haven’t done enough research or that you have missed something important. And this may affect how they assess the rest of your work.

Even if your thesis is mainly based on primary research, it is important to show that you’ve researched past work in your subject area. If you overlook a major thinker or some recent research relevant to your own study, it could end up losing you marks!

Taking and Organizing Notes

Writing a thesis will be much simpler if you have good notes to work from. So when you’re reading a paper or book relevant to your research, make sure to:

• Take notes that are neat enough to understand when you read them.
• Note all publication details for any source you might use in your thesis.
• Organize notes so you can find them when needed (e.g., using colored labels to sort paper notes visually and having a well-labeled folder system on your computer).
• Highlight important information so that you can find it later.

Other tips for efficient note taking include:

• Use abbreviations or shorthand to aid note taking (especially in lectures).
• Summarize key passages and ideas rather than writing them down verbatim. This will make note taking quicker, as well as helping you absorb the information.
• Focus on the parts of sources most relevant to your research question.
• Record page numbers and source information for anything you make notes about.
• Use an audio recording device to record lectures.

This should leave you with detailed, easy-to-use notes when you come to write your thesis.

Data Collection and Analysis

If you are conducting empirical or experimental research, part of your research will involve data collection. This is where you gather your own information to help answer your research question. The three main styles of research include:

• Quantitative – Research that depends on numerical data. This can be based on a scientific experiment, questionnaires, or many other methods.
• Qualitative – Research that focuses on the distinguishing characteristics or traits of the thing studied, such as how something is subjectively experienced. Qualitative methods include things such as interviews, focus groups, and observations.
• Mixed methods – Research that combines quantitative and qualitative methods. The aim here is to get a more rounded picture of the thing being studied.

The same applies to data analysis methods, which can also be quantitative or qualitative. But the research approach you adopt will have a major influence on how you answer your research question, so you need to think about this carefully! Key factors may include:

• Past research – How have other studies in your subject area been done? Is there something about a past study you could draw on or improve upon? Is there existing data that you could use (e.g., from past studies or metastudies)?
• Practicality – How easy will it be to conduct your study with the resources available? How will you collect and store data? How will you analyze it after collection?
• Sampling – Where will you gather data? Will you be able to generalize it to a wider population? If you are working with human subjects, are there ethical concerns?
• Problem solving – What obstacles might you face when gathering data? Do you have time to run a pilot study (i.e., a test study) before you begin?

You may have decided on much of this while writing your research proposal, but these are issues you should consider throughout the study design process. You may also want to work with your thesis advisor to finalize your plans before collecting data.

From a planning perspective, the key is giving yourself enough time to carry out each stage of the data collection and analysis. If you rush, things are more likely to go wrong!

Writing Up Your Thesis

The structure of a thesis.

The structure of your thesis will depend heavily on the subject area. As such, we will look at how to structure empirical and non-empirical theses separately. However, as elsewhere, make sure to check what your school suggests about structuring your thesis.

Empirical Thesis Structure

Most empirical theses have a structure along the following lines:

• Title page – A page with key information about your thesis, typically including your name, the title, and the date of submission. Your school should have a standard template for thesis title pages, so make sure to check this.
• Abstract – A very short summary of your research and results.
• Content page(s) – A list of chapters/sections in your thesis. You may also need to include lists of charts, illustrations, or even abbreviations.
• Introduction – An opening chapter that sets out your research aims. It should provide any key information a reader would need to follow your thesis.
• Literature review – An examination of the most important and most up-to-date research and theoretical thought relevant to your thesis topic.
• Methodology – A detailed explanation of how you collected and analyzed data.
• Results and discussion – A section setting out the results you achieved, your analysis, and your findings based on the data. You may want to include charts, graphs and other visual methods to present key findings clearly.
• Conclusions – A final section summarizing your work and the conclusions drawn.
• References – A list of all sources used during your research.
• Appendices – Any additional documentation that is relevant to your study but would not fit in the main thesis (e.g. questionnaires, surveys, raw data).

We will look at some of these sections in more detail below.

Non-Empirical Thesis Structure

In the humanities and other non-experimental subject areas, your thesis may be structured more like a long essay, with each chapter/section adding to your argument. The structure will therefore depend on what you are arguing, but a common style is:

• Abstract – A very short summary of your research.
• Main chapters – A series of chapters where you address each main point in your argument. Ideally, each chapter should lead naturally to the next one.
• Appendices – Any additional documentation that is relevant to your work but would not fit in the main thesis (e.g., questionnaires, surveys, raw data).

We will look at some of these sections in more detail below. For the main chapters of your thesis, though, you will have to break your argument down into a series of points. To do this, review your notes with your research question in mind, then:

• Write down your main arguments in as few sentences as possible. Try to imagine explaining it to a friend or your advisor in simple terms.
• Expand each sentence with a series of detailed subpoints or premises.
• Look at how each subpoint contributes to the overall argument and use this as a guideline for structuring your thesis. Ideally, each chapter will address a single aspect of your argument in detail, complete with supporting evidence.

It can help to treat each chapter in a humanities thesis like an essay of its own, with an introduction (i.e., what you will address in the chapter at hand), a series of sub-points with evidence, and a short conclusion that leads on to the next chapter.

Writing Your Thesis

Next, we’ll look in detail at some of the sections most theses will include. As elsewhere, though, don’t forget to check your school’s requirements for the structure and content of a thesis, as some elements will vary (e.g., the length of the abstract, or whether to include separate “Results” and “Discussion” sections). If you cannot find this information on your college’s website or in course materials, ask your tutor or advisor for guidance.

Picking a Title

Your thesis title should give readers an immediate sense of what it is about. A good way to do this is to have a title and a subtitle based on topic and focus respectively:

• The topic is the broad subject area of your thesis (e.g., viral marketing techniques, the environmental effects of climate change, or food safety regulations).
• The focus is the specific thing that you are studying (e.g., the impact of social media, the change in polar bear populations, or whether regulations promote public health).

For instance, the following could all work as dissertation titles:

Viral marketing and social media: A case study of the role of influencer culture in the success of Old Spice’s “The Man Your Man Could Smell Like” campaign

Environmental Effects of Climate Change: A Qualitative Study of the Factors Behind Changing Polar Bear Populations in Alaska

Food Safety in America: Are Federal Policies Promoting Public Health?

All these titles give a sense of the question the thesis will answer. The first two are quite long, which can reduce clarity in some cases, but they also include information about the type of research conducted. The key is striking a balance between detail and clarity.

You may also want to check your style guide (or ask your advisor) for advice on how to capitalize titles. You can find information on title case and sentence case capitalization here .

Writing an Abstract

An abstract is like a preview, allowing readers to see what your thesis is about. As such, it should set out the key information about your study in a clear, concise manner.

The exact length and style of an abstract can vary, but typically it will be between 100 and 500 words long and primarily written in the past or present tense. It should include:

• What you aimed to do and why
• How you did it
• What you discovered
• Recommendations (if any)

It often helps to leave writing the abstract until you’ve at least got a first draft of your full thesis, as by that point you’ll have a better sense of your research overall.

Writing an Introduction

A good thesis introduction should set the scene for the reader, telling them everything they’ll need to know to follow the rest of your thesis. It should therefore:

• Establish the subject area and specific focus of your work.
• Explain why the topic is important and your research objectives.
• Offer some background information, including current theories or research.
• Provide a thesis or hypothesis (i.e., a short statement of what you will argue).
• Outline the structure of your thesis (i.e., what each chapter will cover).

It can help to have a strong opening line that will grab the reader’s attention, but this is not necessary. Try to avoid clichéd openings such as “Webster’s Dictionary defines [THESIS TOPIC] as…,” as these will rarely add anything useful to your paper.

One good tip is to write a rough introduction first, but to revisit it once you have a draft of your full thesis. This is because the introduction and conclusion should work like “bookends” to the rest of your thesis, so the introduction needs to reflect the content that follows.

The Literature Review

The literature review provides the theoretical foundations for your thesis. The idea is not just to summarize key concepts and studies, but to set up your own work by showing how it follows from existing research to offer something new. To do this, you may need to:

• Examine key theories or ideas that provide context for your study.
• Read sources critically and assess how they relate to your research.
• Look at the current state of research in your subject area.
• Reflect on the methods and theories used by other researchers.
• Explain how your work will develop or build upon current knowledge.

You can use your research question to guide this review. But it’s also worth asking your advisor or tutor for advice on literature you should read.

When writing up your literature review, make sure it has a clear structure. This might be chronological (i.e., in order of when the studies you discuss were done), methodological (i.e., organized in terms of the research style or approach), or thematic (i.e., organized in terms of what studies focused on or discussed). But you need to give it a clear sense of development, which ultimately should lead back to your own research question.

Methodology

The methodology chapter is where you explain, in detail, how you performed your research. This may be a relatively simple section of your thesis, but make sure to:

• Include something about your research approach (e.g., qualitative vs. quantitative) and why it was the best choice for your study.
• Be descriptive! Make sure to detail each step of how you gathered and analyzed data. This includes any equipment or techniques used, as well as the conditions under which you gathered your data. Ideally, a reader should be able to replicate your research from reading your methodology section.
• Justify your choices. From equipment to analysis, you should have a reason for every decision you make about the methodology of your study.
• Mention any obstacles you faced or any limitations of your chosen methods.
• Consider ethical concerns. If you had to seek approval from an ethics panel to conduct your research, make sure to detail it here.

The appendices can be useful here, as you can use them for information that is relevant but not essential for explaining your methodology (e.g., survey templates, consent forms). If you do include anything like this in your appendices, though, make sure to reference it clearly in your methodology chapter (e.g., “For more information, see Appendix C…”).

Results and Discussion

This is where you set out the results of your research, including data, analysis, and findings. 

This can vary a lot depending on your subject area and school. Some use a combined “ Results and Discussion ” section, where results are presented alongside analysis. Some prefer to separate the results and the discussion into separate chapters. As such, you will want to check with your advisor about the best way to present your results.

Generally, though, reliable tips for presenting results in a thesis include:

• Offer context – Raw data may be difficult to follow, so make sure to include enough text to guide the reader through your findings. Ideally, it should be clear how everything in this section helps you to answer your initial research question.
• Focus on the most relevant data – If you’ve collected lots of data, make sure to focus on the parts that are most relevant to your research question. If you try to include everything, key findings may get lost among the information overload.
• Use visuals – If appropriate, consider using charts, graphs, tables, or figures to present results, as these can make complex data easier to visualize. However, make sure to label all charts and figures carefully so their relevance is clear.

The “Discussion” part should focus on the significance of your results. Think about:

• How the data supports (or disproves) your initial hypothesis. 
• How your results compare to those of the studies in your literature review.
• Whether any problems encountered during the research, or the previously outlined limitations of your methods, affect the validity of your results.
• The implications of your study for future theory, research, and practice.

Since this is where you really dig into the value of your research, the “Results and Discussion” section may be the most important part of your thesis. As such, you should take time to make sure it thoroughly addresses your chosen research question.

Writing a Conclusion

The conclusion is where you tie everything up together. As mentioned earlier, it should work with the introduction to “bookend” your thesis. As such, it should:

• Start by briefly recapping the thesis topic and your research question.
• Summarize the main points of your argument/your results.
• Draw conclusions and explain how your research supports them.
• Consider the implications of your research (e.g., its significance for your field of study or real-life applications of your results).

Your overall aim is to briefly explain how you have answered your research question. However, make sure not to introduce new arguments or evidence in the conclusion. If you need these to support your point, they should be included in the main body of the thesis.

Referencing and Quoting Sources

In any academic document, you will need to cite sources. This typically means:

• Citing sources in the main text of your thesis.
• Adding a reference list or bibliography at the end of the document.

The details of how to do this will depend on the referencing style or system  you’re using, so remember to check your style guide . However, we will offer some general tips here.

Why Cite Sources?

Referencing involves identifying the sources you’ve used in your research, usually with some kind of in-text citations and full publication information for all sources in a reference list.

There are several reasons to take referencing seriously in your thesis:

• You get to show off your research skills and ability to find relevant information.
• It is good practice to credit other thinkers for their ideas.
• It provides vital context for your own work.
• Failing to cite sources will be treated as plagiarism (i.e., using someone else’s words or ideas without crediting them), which could have negative consequences.

This last point is the most important as plagiarism is considered academic fraud. And if you’re found to have plagiarized someone else’s work in your thesis, you will lose marks.

You will need to cite a source whenever you:

• Quote or paraphrase another person’s words.
• Refer to facts or figures that aren’t common public knowledge.
• Refer to an idea or theory you found published somewhere.
• Use an image or illustration that you did not create yourself.

This should protect you from unfair accusations of plagiarism.

In-Text Citations

In-text citations come in three main types, each used by different referencing systems:

• Parenthetical Citations – This involves giving citations in brackets in the main body of your thesis. Often, this will be the author’s surname, the year of publication, and page numbers (e.g., Harvard, APA). However, some systems differ, such as MLA, which only gives the author’s surname and page number(s).
• Number–Footnote Citations – Some referencing systems indicate citations with a number in the text, then give source information in footnotes (e.g., Oxford, MHRA).
• Number–Endnote Citations – Similar to the above, number–endnote systems use numbered citations in the main text (e.g., Vancouver, IEEE). However, in this case the numbers point to an entry in a reference list at the end of the document.

And while these citation styles differ, there are some tips that apply in all cases:

• Always check your school’s style guide to find their preferred citation style.
• Make sure every source used in the main text is cited.
• Make sure that all cited sources are included in a reference list.
• Apply a consistent citation style throughout each essay.

As above, this will help ensure you don’t accidentally commit plagiarism in your writing.

Quoting Sources

Quoting sources is a great way of supporting your arguments in a thesis. However, if you are going to quote a source in your writing, you need to do it right.

The first step is knowing when to quote a source. Generally, this is most useful when:

• Your point depends on the exact wording (e.g., if you are discussing why an author used a specific term in their work).
• The original text is especially well expressed and rephrasing it would detract from this.

If you do quote a source, make sure to place the borrowed text in “quotation marks.” This shows the reader that you have taken it from somewhere else. The accompanying citation should then identify the source and the page(s) where the quote can be found.

In many cases, it is better to paraphrase a source than quote it. This means rewriting the passage in your own words, which shows that you have understood it. However, remember that you still need to cite sources when paraphrasing something.

Reference Lists and Bibliographies

Every academic document that cites sources should include a reference list or bibliography. These terms are sometimes used interchangeably, but the general difference is:

• A reference list is a list of every source cited in your thesis.
• A bibliography should include any source you used while researching your thesis (even the ones that you did not cite directly in your work).

As with citations, this may depend on the system you’re using and different referencing systems will have different rules for creating a reference list. In all cases, though:

• Make sure to check your school’s style guide for advice on whether to create a reference list or a bibliography (and what to include in it).
• Check that you know the reference formats for every source type you have used (e.g., a print book will have a different format to an online journal article).
• Make sure all references are clear and consistent.

One helpful tip for drawing up your reference list/bibliography is to keep a running list of sources as you work. In other words, whenever you find something useful during research, note down the publication details. You will then have all the information required if you need to reference it later (plus, you’ll be able to find the same source quickly if you need it).

Reference Management Software

Finally, you may want to look at using reference management software when writing a thesis. This refers to programs that store and organize your references, such as:

• EndNote – EndNote works with all major referencing systems, source types and word processors. The full version is paid, but there is a limited free version.
• Mendeley – This is a free tool for managing and citing PDF documents. It is therefore most useful when the majority of your sources are in this format.
• Zotero – This package has an internet browser plugin that can automatically import source information from websites and add citations to your work.
• RefWorks – This web-based system provides a simple way of collating sources that can be accessed from any computer with an internet connection.

Whether you use reference management software or not, you should always double check citations and the reference list before submitting your work. That way, you can be sure that the referencing in your thesis is clear, consistent, and error free.

Additional Resources

For more information on referencing in different systems, see our blog posts on:

Not every thesis will include an appendix or appendices. However, as mentioned above, you can put useful but non-essential information in an appendix.

Common examples of things that you might put in an appendix include:

• Raw test data
• Technical figures, graphs and tables
• Maps, charts and illustrations
• Letters and emails
• Sample questionnaires and surveys
• Interview transcripts

You will need to check your style guide for advice on appendices, such as whether they count towards the word limit, but standard rules for adding appendices include:

• Place appendices at the end of your document after the reference list.
• Divide appendices by topic so that each appendix contains one type of information (e.g., separate sections for test results, illustrations and transcripts).
• Start each appendix on a new page and label it with a letter or number, along with a title clarifying content (Appendix A: Instrument Diagrams, Appendix B: Test Results).
• List appendices in the table of contents at the beginning of your document.

If you then needed to point the reader to something in an appendix in the main body of your thesis, you would simply have to cite the relevant appendix label. For instance:

The interviews show that most people like ice cream (see Appendix C for full transcripts).

This lets you keep the main text of your thesis focused on the research question.

Word Count Advice

Most theses come with a suggested word count. Ideally, you will get as close to this as you can (within 10% either way is usually acceptable). Exceeding or being significantly below the word limit may lose you marks, so make sure you know what to aim for.

If you are struggling to stay within the word limit on an essay:

• Look for and cut out any repetition in your work.
• Consider whether non-essential information may fit better in an appendix (but make sure to check whether appendices count towards the word limit).
• Remove redundant pairs (i.e., terms like “each and every” or “final outcome”).
• Edit out unnecessary modifiers and qualifying terms (e.g., you can often cut words like “quite,” “very,” and “really” without losing anything of substance).
• Replace phrases with a word (e.g., “due to the fact that” = “because”).
• Cut down long or unnecessary quotations.
• Use the active voice instead of the passive voice.

If you are struggling to reach the suggested word count, you can:

• Do more research to develop your argument further.
• Add quotes or examples to support your arguments.
• Introduce alternative points of view for comparison.

The key is that anything you add to increase the word count should also add to your argument. Do not try to pad out your writing by simply adding extra words and phrases.

Editing and Proofreading a Thesis

Before submitting an essay, you will want it to be perfect. This means that you shouldn’t just submit the first draft you write. Instead, you’ll want to go over your work and refine it.

We’ve touched upon this above in our tips on staying within the word count. In this last section, though, we’ll look at editing and proofreading an essay in more detail.

The Drafting Process

A “draft” is a version of a document, with the “final draft” the finished version. And writing a good thesis will require redrafting. This might be because the focus of your thesis shifts part way through, meaning you need to tweak what you’ve already written. Or it may simply be that you wrote your introduction first and want to adjust it after finishing your conclusion.

In any case, redrafting is a good way to polish your writing and pick up extra marks (as well as to avoid embarrassing errors and typos). Typically, the process looks like this:

• First Draft – An initial version based on your thesis plan. It doesn’t matter if this isn’t perfect right away, as you’ll have a chance to improve it by redrafting.
• Second Draft – After finishing the first draft of your full thesis, go back over each chapter and make sure it fits within the document as a whole. This may include making changes to fix errors, to highlight connections between different parts of your thesis, or to make sure each section flows smoothly into the next one.
• Third Draft Onwards – Repeat the step above as required. This is vital in a thesis-length document, as it is easy to overlook typos when dealing with large amounts of text. Each time you redraft, you should need to make fewer revisions.
• Final Draft – This is the finished thesis. However, you’ll still want to do one final check to eliminate remaining typos. This final check is often known as “proofreading.”

The key to a truly great thesis is giving yourself enough time to redraft at least once or twice. Keep this in mind when working out your schedule before you begin writing.

Another point to note here is that some online companies offer to redraft your thesis for you. However, using an editing service may count as plagiarism if your work is being marked. 

But it is a good idea to seek professional proofreading for your thesis.

Proofreading Your Thesis

Proofreading differs from editing because it focuses on technical errors, such as spelling and grammar mistakes, while preserving the meaning and content of your writing. As such, you can have your work proofread without falling foul of plagiarism rules.

Proofreading your own work can be difficult as it’s easy to miss errors when you’re already familiar with a document. If you do plan to proofread your own thesis, though:

• Take some time off before you begin. This will help you spot errors that you might otherwise miss from being too familiar.
• Print it out and proofread on paper instead of on the screen.
• Try reading problem sections out loud or in reverse (i.e., starting from the end of the part you’re having trouble with and working backwards).
• If you are reading it on screen, make sure to set the proofing language. In Microsoft Word, you can do this via Review > Language > Set Proofing Language .

It is almost always best to have someone else proofread your work, though. If you would like one of Proofed’s academic writing experts to check your thesis, why not upload a document  today?

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Home Market Research

Empirical Research: Definition, Methods, Types and Examples

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Empirical research: Definition

Empirical research: origin, quantitative research methods, qualitative research methods, steps for conducting empirical research, empirical research methodology cycle, advantages of empirical research, disadvantages of empirical research, why is there a need for empirical research.

Empirical research is defined as any research where conclusions of the study is strictly drawn from concretely empirical evidence, and therefore “verifiable” evidence.

This empirical evidence can be gathered using quantitative market research and  qualitative market research  methods.

For example: A research is being conducted to find out if listening to happy music in the workplace while working may promote creativity? An experiment is conducted by using a music website survey on a set of audience who are exposed to happy music and another set who are not listening to music at all, and the subjects are then observed. The results derived from such a research will give empirical evidence if it does promote creativity or not.

LEARN ABOUT: Behavioral Research

You must have heard the quote” I will not believe it unless I see it”. This came from the ancient empiricists, a fundamental understanding that powered the emergence of medieval science during the renaissance period and laid the foundation of modern science, as we know it today. The word itself has its roots in greek. It is derived from the greek word empeirikos which means “experienced”.

In today’s world, the word empirical refers to collection of data using evidence that is collected through observation or experience or by using calibrated scientific instruments. All of the above origins have one thing in common which is dependence of observation and experiments to collect data and test them to come up with conclusions.

LEARN ABOUT: Causal Research

Types and methodologies of empirical research

Empirical research can be conducted and analysed using qualitative or quantitative methods.

• Quantitative research : Quantitative research methods are used to gather information through numerical data. It is used to quantify opinions, behaviors or other defined variables . These are predetermined and are in a more structured format. Some of the commonly used methods are survey, longitudinal studies, polls, etc
• Qualitative research:   Qualitative research methods are used to gather non numerical data.  It is used to find meanings, opinions, or the underlying reasons from its subjects. These methods are unstructured or semi structured. The sample size for such a research is usually small and it is a conversational type of method to provide more insight or in-depth information about the problem Some of the most popular forms of methods are focus groups, experiments, interviews, etc.

Data collected from these will need to be analysed. Empirical evidence can also be analysed either quantitatively and qualitatively. Using this, the researcher can answer empirical questions which have to be clearly defined and answerable with the findings he has got. The type of research design used will vary depending on the field in which it is going to be used. Many of them might choose to do a collective research involving quantitative and qualitative method to better answer questions which cannot be studied in a laboratory setting.

LEARN ABOUT: Qualitative Research Questions and Questionnaires

Quantitative research methods aid in analyzing the empirical evidence gathered. By using these a researcher can find out if his hypothesis is supported or not.

• Survey research: Survey research generally involves a large audience to collect a large amount of data. This is a quantitative method having a predetermined set of closed questions which are pretty easy to answer. Because of the simplicity of such a method, high responses are achieved. It is one of the most commonly used methods for all kinds of research in today’s world.

Previously, surveys were taken face to face only with maybe a recorder. However, with advancement in technology and for ease, new mediums such as emails , or social media have emerged.

For example: Depletion of energy resources is a growing concern and hence there is a need for awareness about renewable energy. According to recent studies, fossil fuels still account for around 80% of energy consumption in the United States. Even though there is a rise in the use of green energy every year, there are certain parameters because of which the general population is still not opting for green energy. In order to understand why, a survey can be conducted to gather opinions of the general population about green energy and the factors that influence their choice of switching to renewable energy. Such a survey can help institutions or governing bodies to promote appropriate awareness and incentive schemes to push the use of greener energy.

Learn more: Renewable Energy Survey Template Descriptive Research vs Correlational Research

• Experimental research: In experimental research , an experiment is set up and a hypothesis is tested by creating a situation in which one of the variable is manipulated. This is also used to check cause and effect. It is tested to see what happens to the independent variable if the other one is removed or altered. The process for such a method is usually proposing a hypothesis, experimenting on it, analyzing the findings and reporting the findings to understand if it supports the theory or not.

For example: A particular product company is trying to find what is the reason for them to not be able to capture the market. So the organisation makes changes in each one of the processes like manufacturing, marketing, sales and operations. Through the experiment they understand that sales training directly impacts the market coverage for their product. If the person is trained well, then the product will have better coverage.

• Correlational research: Correlational research is used to find relation between two set of variables . Regression analysis is generally used to predict outcomes of such a method. It can be positive, negative or neutral correlation.

LEARN ABOUT: Level of Analysis

For example: Higher educated individuals will get higher paying jobs. This means higher education enables the individual to high paying job and less education will lead to lower paying jobs.

• Longitudinal study: Longitudinal study is used to understand the traits or behavior of a subject under observation after repeatedly testing the subject over a period of time. Data collected from such a method can be qualitative or quantitative in nature.

For example: A research to find out benefits of exercise. The target is asked to exercise everyday for a particular period of time and the results show higher endurance, stamina, and muscle growth. This supports the fact that exercise benefits an individual body.

• Cross sectional: Cross sectional study is an observational type of method, in which a set of audience is observed at a given point in time. In this type, the set of people are chosen in a fashion which depicts similarity in all the variables except the one which is being researched. This type does not enable the researcher to establish a cause and effect relationship as it is not observed for a continuous time period. It is majorly used by healthcare sector or the retail industry.

For example: A medical study to find the prevalence of under-nutrition disorders in kids of a given population. This will involve looking at a wide range of parameters like age, ethnicity, location, incomes  and social backgrounds. If a significant number of kids coming from poor families show under-nutrition disorders, the researcher can further investigate into it. Usually a cross sectional study is followed by a longitudinal study to find out the exact reason.

• Causal-Comparative research : This method is based on comparison. It is mainly used to find out cause-effect relationship between two variables or even multiple variables.

For example: A researcher measured the productivity of employees in a company which gave breaks to the employees during work and compared that to the employees of the company which did not give breaks at all.

LEARN ABOUT: Action Research

Some research questions need to be analysed qualitatively, as quantitative methods are not applicable there. In many cases, in-depth information is needed or a researcher may need to observe a target audience behavior, hence the results needed are in a descriptive analysis form. Qualitative research results will be descriptive rather than predictive. It enables the researcher to build or support theories for future potential quantitative research. In such a situation qualitative research methods are used to derive a conclusion to support the theory or hypothesis being studied.

LEARN ABOUT: Qualitative Interview

• Case study: Case study method is used to find more information through carefully analyzing existing cases. It is very often used for business research or to gather empirical evidence for investigation purpose. It is a method to investigate a problem within its real life context through existing cases. The researcher has to carefully analyse making sure the parameter and variables in the existing case are the same as to the case that is being investigated. Using the findings from the case study, conclusions can be drawn regarding the topic that is being studied.

For example: A report mentioning the solution provided by a company to its client. The challenges they faced during initiation and deployment, the findings of the case and solutions they offered for the problems. Such case studies are used by most companies as it forms an empirical evidence for the company to promote in order to get more business.

• Observational method:   Observational method is a process to observe and gather data from its target. Since it is a qualitative method it is time consuming and very personal. It can be said that observational research method is a part of ethnographic research which is also used to gather empirical evidence. This is usually a qualitative form of research, however in some cases it can be quantitative as well depending on what is being studied.

For example: setting up a research to observe a particular animal in the rain-forests of amazon. Such a research usually take a lot of time as observation has to be done for a set amount of time to study patterns or behavior of the subject. Another example used widely nowadays is to observe people shopping in a mall to figure out buying behavior of consumers.

• One-on-one interview: Such a method is purely qualitative and one of the most widely used. The reason being it enables a researcher get precise meaningful data if the right questions are asked. It is a conversational method where in-depth data can be gathered depending on where the conversation leads.

For example: A one-on-one interview with the finance minister to gather data on financial policies of the country and its implications on the public.

• Focus groups: Focus groups are used when a researcher wants to find answers to why, what and how questions. A small group is generally chosen for such a method and it is not necessary to interact with the group in person. A moderator is generally needed in case the group is being addressed in person. This is widely used by product companies to collect data about their brands and the product.

For example: A mobile phone manufacturer wanting to have a feedback on the dimensions of one of their models which is yet to be launched. Such studies help the company meet the demand of the customer and position their model appropriately in the market.

• Text analysis: Text analysis method is a little new compared to the other types. Such a method is used to analyse social life by going through images or words used by the individual. In today’s world, with social media playing a major part of everyone’s life, such a method enables the research to follow the pattern that relates to his study.

For example: A lot of companies ask for feedback from the customer in detail mentioning how satisfied are they with their customer support team. Such data enables the researcher to take appropriate decisions to make their support team better.

Sometimes a combination of the methods is also needed for some questions that cannot be answered using only one type of method especially when a researcher needs to gain a complete understanding of complex subject matter.

We recently published a blog that talks about examples of qualitative data in education ; why don’t you check it out for more ideas?

Since empirical research is based on observation and capturing experiences, it is important to plan the steps to conduct the experiment and how to analyse it. This will enable the researcher to resolve problems or obstacles which can occur during the experiment.

Step #1: Define the purpose of the research

This is the step where the researcher has to answer questions like what exactly do I want to find out? What is the problem statement? Are there any issues in terms of the availability of knowledge, data, time or resources. Will this research be more beneficial than what it will cost.

Before going ahead, a researcher has to clearly define his purpose for the research and set up a plan to carry out further tasks.

Step #2 : Supporting theories and relevant literature

The researcher needs to find out if there are theories which can be linked to his research problem . He has to figure out if any theory can help him support his findings. All kind of relevant literature will help the researcher to find if there are others who have researched this before, or what are the problems faced during this research. The researcher will also have to set up assumptions and also find out if there is any history regarding his research problem

Step #3: Creation of Hypothesis and measurement

Before beginning the actual research he needs to provide himself a working hypothesis or guess what will be the probable result. Researcher has to set up variables, decide the environment for the research and find out how can he relate between the variables.

Researcher will also need to define the units of measurements, tolerable degree for errors, and find out if the measurement chosen will be acceptable by others.

Step #4: Methodology, research design and data collection

In this step, the researcher has to define a strategy for conducting his research. He has to set up experiments to collect data which will enable him to propose the hypothesis. The researcher will decide whether he will need experimental or non experimental method for conducting the research. The type of research design will vary depending on the field in which the research is being conducted. Last but not the least, the researcher will have to find out parameters that will affect the validity of the research design. Data collection will need to be done by choosing appropriate samples depending on the research question. To carry out the research, he can use one of the many sampling techniques. Once data collection is complete, researcher will have empirical data which needs to be analysed.

LEARN ABOUT: Best Data Collection Tools

Step #5: Data Analysis and result

Data analysis can be done in two ways, qualitatively and quantitatively. Researcher will need to find out what qualitative method or quantitative method will be needed or will he need a combination of both. Depending on the unit of analysis of his data, he will know if his hypothesis is supported or rejected. Analyzing this data is the most important part to support his hypothesis.

Step #6: Conclusion

A report will need to be made with the findings of the research. The researcher can give the theories and literature that support his research. He can make suggestions or recommendations for further research on his topic.

A.D. de Groot, a famous dutch psychologist and a chess expert conducted some of the most notable experiments using chess in the 1940’s. During his study, he came up with a cycle which is consistent and now widely used to conduct empirical research. It consists of 5 phases with each phase being as important as the next one. The empirical cycle captures the process of coming up with hypothesis about how certain subjects work or behave and then testing these hypothesis against empirical data in a systematic and rigorous approach. It can be said that it characterizes the deductive approach to science. Following is the empirical cycle.

• Observation: At this phase an idea is sparked for proposing a hypothesis. During this phase empirical data is gathered using observation. For example: a particular species of flower bloom in a different color only during a specific season.
• Induction: Inductive reasoning is then carried out to form a general conclusion from the data gathered through observation. For example: As stated above it is observed that the species of flower blooms in a different color during a specific season. A researcher may ask a question “does the temperature in the season cause the color change in the flower?” He can assume that is the case, however it is a mere conjecture and hence an experiment needs to be set up to support this hypothesis. So he tags a few set of flowers kept at a different temperature and observes if they still change the color?
• Deduction: This phase helps the researcher to deduce a conclusion out of his experiment. This has to be based on logic and rationality to come up with specific unbiased results.For example: In the experiment, if the tagged flowers in a different temperature environment do not change the color then it can be concluded that temperature plays a role in changing the color of the bloom.
• Testing: This phase involves the researcher to return to empirical methods to put his hypothesis to the test. The researcher now needs to make sense of his data and hence needs to use statistical analysis plans to determine the temperature and bloom color relationship. If the researcher finds out that most flowers bloom a different color when exposed to the certain temperature and the others do not when the temperature is different, he has found support to his hypothesis. Please note this not proof but just a support to his hypothesis.
• Evaluation: This phase is generally forgotten by most but is an important one to keep gaining knowledge. During this phase the researcher puts forth the data he has collected, the support argument and his conclusion. The researcher also states the limitations for the experiment and his hypothesis and suggests tips for others to pick it up and continue a more in-depth research for others in the future. LEARN MORE: Population vs Sample

LEARN MORE: Population vs Sample

There is a reason why empirical research is one of the most widely used method. There are a few advantages associated with it. Following are a few of them.

• It is used to authenticate traditional research through various experiments and observations.
• This research methodology makes the research being conducted more competent and authentic.
• It enables a researcher understand the dynamic changes that can happen and change his strategy accordingly.
• The level of control in such a research is high so the researcher can control multiple variables.
• It plays a vital role in increasing internal validity .

Even though empirical research makes the research more competent and authentic, it does have a few disadvantages. Following are a few of them.

• Such a research needs patience as it can be very time consuming. The researcher has to collect data from multiple sources and the parameters involved are quite a few, which will lead to a time consuming research.
• Most of the time, a researcher will need to conduct research at different locations or in different environments, this can lead to an expensive affair.
• There are a few rules in which experiments can be performed and hence permissions are needed. Many a times, it is very difficult to get certain permissions to carry out different methods of this research.
• Collection of data can be a problem sometimes, as it has to be collected from a variety of sources through different methods.

LEARN ABOUT:  Social Communication Questionnaire

Empirical research is important in today’s world because most people believe in something only that they can see, hear or experience. It is used to validate multiple hypothesis and increase human knowledge and continue doing it to keep advancing in various fields.

For example: Pharmaceutical companies use empirical research to try out a specific drug on controlled groups or random groups to study the effect and cause. This way, they prove certain theories they had proposed for the specific drug. Such research is very important as sometimes it can lead to finding a cure for a disease that has existed for many years. It is useful in science and many other fields like history, social sciences, business, etc.

LEARN ABOUT: 12 Best Tools for Researchers

With the advancement in today’s world, empirical research has become critical and a norm in many fields to support their hypothesis and gain more knowledge. The methods mentioned above are very useful for carrying out such research. However, a number of new methods will keep coming up as the nature of new investigative questions keeps getting unique or changing.

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Lesson 2: Empirical studies

Quantitative and qualitative approaches are employed to collect data across a variety of study types, including empirical studies.  Empirical studies are the collection and analysis of primary data based on direct observation or experiences in the ‘field’. There are a variety of study types that can be employed when conducting an empirical study, including:

Descriptive or observational studies, that…

• Provides data on what is going on
• Emphasises features of a new condition/phenomenon, or
• Describes the current status of existing condition/phenomenon
• Can highlight associations between variables, but cannot establish causality
• Can suggest hypotheses which can be tested in analytical studies
• Examples: case report, case series, cross-sectional study (prevalence study)

Empirical studies that describe what is happening based on direct observation, focus group discussions, and in-depth interviews are defined as qualitative studies.  These include case reports and research studies with a limited population that is not aiming to establish statistical associations between variables.  Qualitative empirical studies can provide rich, deep contextual data to help us understand a phenomenon, but cannot be generalized to establish prevalence or incidence of a phenomenon; nor can they be generalized to highlight statistical associations between variables.

Empirical studies that aim to highlight statistical associations between variables or to establish the prevalence or incidence of a phenomenon should utilize quantitative methods like cross sectional surveys with an appropriately large sample size.  This kind of survey can describe the who, what , and where of a phenomenon (and are thus descriptive) but cannot answer the why question.  In order to answer the question of why (causation,) an analytical or experimental study is needed.

Other types of empirical studies are explanatory, analytical and experimental studies. Learn more about these kind of studies in the following.

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How do I write an empirical bachelor's or master's thesis?

An empirical thesis is an academic research in which certain information and data from reality (experience = empiricism) are independently collected to answer a certain question.

There are copious types of data collection, such as surveys, interviews, observations, text analyses, experiments, test series, simulations and modifications of these methods.

What are the advantages of an empirical thesis?

• Collect your own data
• Personal contribution is clearly defined
• Sometimes a higher grade is possible
• Clear guidelines for action
• Many methodological sources
• Chance to show your creativity
• You can learn more
• You can gain reputation and credibility

What are the disadvantages of empirical work?

• You are dependent on others
• Time needed to learn new methods
• More time may be required
• Somewhat uncertain ending
• Possibly a larger workload
• Possible costs for interviews and experts

What does a topic for an empirical thesis look like?

Like other types of work. The difference lies in the data sources and methods. Try our topic trip.

What does an outline in an empirical thesis look like? What chapters does it contain?

The topic trip provides you with a complete sample layout that even includes page numbers per chapter.

• Introduction
• State of research
• Methodology

What are the challenges of an empirical thesis and how do I overcome them?

1. you must locate a real research gap.

You have to ask a real question that has never been answered before in the way you plan to do so. To do this, you have to evaluate real scientific studies. Books are not proper sources, not even by a long shot. The studies are 95% in English, have their own unique terminology and require a lot of knowledge in the subject area because the analyses come from experts who have been researching such questions for a long time. So it’s best to first find the research gap because so much has already been researched. This is not easy even for experienced researchers.

The Thesis Guide takes you by the hand and leads you through this process step-by-step by providing an example topic. You absolutely MUST write a proposal. We can show you HOW and WHAT belongs in there!

2. You must work with new methods!

Most likely this is your first empirical analysis. The methods are new, you don’t have much time and you have to create a questionnaire or conduct an interview. But HOW???? You have to attract participants and collect data. But HOW????

The Thesis Guide provides you with an overview of the methods and detailed instructions for working with them. You also have concrete examples and templates of all kinds.

3. You must gain real NEW insight!

You cannot use old literature for writing your own findings. An empirical analysis is creative and you must add something new. Sometimes the NEW knowledge is apparently only clear at the end but not with us! The Thesis Guide will help you know from very early on with what the results and findings will be.

The Thesis Guide will help you see the end of the work right at the beginning, using proven patterns and examples for the beginning, guiding questions, detailed questions and formulation of objectives. This makes YOUR results clear, right from the start. It even makes work fun!

What is the best way to start an empirical thesis?

Start with the research question, topic and the appropriate sources! What answers are you looking for? Then follow this standardized procedure in the Aristolo Thesis Guide:

• Write a proposal,
• Specifically filter books and write theory chapters,
• Survey the state of research by means of study evaluation and write chapters,
• Consider and describe analytical methods (research methods),
• Obtain and evaluate information, data and arguments from sources,
• Gain new insight by means of analyses
• Draw conclusions, write the chapter on results and complete the thesis.

How can the Aristolo Thesis Guide help with your empirical thesis?

The Thesis Guide helps by providing detailed descriptions of the contents of every chapter with micro questions, sample formulations, all kinds of aids, file templates for all kinds of tasks such as interview guidelines, questionnaire templates etc. Good luck writing your text!

Silvio and the Aristolo Team

PS: Check out the interactive Guide for writing a bachelor or master thesis in 31 days.

• Study and research support
• Academic skills

Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

• Undergraduate examples
• Taught Masters examples

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• Education /

What is a Dissertation? Meaning, Projects, Report Work

• Updated on  
• Feb 26, 2022

A dissertation is a long academic piece of writing based on a student’s independent research . It is usually submitted in the final semester of UG, PG and PhD courses . It takes about 1-2 years to complete the dissertation as it requires a lot of research and written documentation . The aim of writing a dissertation is to test a student’s research skills. It allows students to develop their research, problem-solving, project management and numerical skills . During the course of writing a dissertation, students become able to present their research-based findings to the proposition they chose for themselves.

This Blog Includes:

Empirical dissertation, non-empirical dissertation, skills you need to show, how long is a dissertation, empirical dissertation structure, non-empirical structure, dissertation project example, checklist for dissertation, helpful tips for writing a dissertation, difference between a dissertation and essay, dissertation vs thesis, types of dissertation.

The type of dissertation you may be doing completely depends upon the field of your study. However, there are 2 types of dissertation mentioned below in the table:

If you are a student of sciences or social sciences, you’ll be required to write an empirical dissertation . Its focus is mainly on collecting original data and analysing every aspect of the data. Students can choose different research methods such as surveys, observation, laboratory experiments and interviews . Keeping in mind that the aim of an Empirical dissertation is to produce standardized scientific knowledge, students must consider the variables they will investigate, the reliability of their measurements, and choose the correct sampling method.

Non-empirical research is generally done for subjects such as arts and humanities . Choosing a particular topic and collecting the data from primary and secondary sources is the first step of starting with this type of dissertation. While working on non-empirical research, a student does the work with existing research or other texts, presents original analysis, argumentation, but there is no original data . The aim is to analyse theoretical texts and interpret the sources with your own understanding.

Regardless of the type of dissertation you write or the topic you pick, you’ll need to demonstrate the following abilities:

A dissertation’s length varies by study level and location, although it normally ranges from 10,000 to 12,000 words for undergraduates, 15,000 to 25,000 words for master’s students, and up to 50,000 words or more for PhD students.

Structure of a Dissertation

A dissertation is basically divided into chapters and sections . Both empirical and non-empirical dissertations have different kinds of structures that are supposed to be followed while writing a dissertation. Empirical dissertations usually have a more standardized structure than that of a non-empirical dissertation which is more flexible.

The structure may be slightly different but an empirical dissertation must include the following chapters:

•   Introduction: Explanation of your topic and research questions
•  Literature Review : Evaluation of your research topic
•  Methodology: Description of the research method 
• Results: Explanation of the found research
•  Discussions: Interpret what your results have revealed
• Conclusion: Final reflection of what you’ve found through the thesis

The structure or outline of a non-empirical dissertation is quite flexible as it involves existing research and texts . The aim of non-empirical research is to present original and independent analysis based on theoretical research . It is basically an extended essay but while writing a non-empirical thesis, the text must be presented precisely to serve your arguments in a logical manner. However, mentioned below is a general outline that must be followed while writing a non-empirical dissertation:

•  Introduction: Explanation of your topic and Research Questions
•  Main Body: Development of your analysis of the text or source
•  Conclusion: Summarisation of what the analysis has contributed so far

*The main body is divided into 2-4 chapters.

Non-Empirical Dissertation Structure Example

Depending on the topic you’ve chosen, the main body can be divided into different types.  One of the most common topics of non-empirical research is history-based . The following mentioned is an example of a renaissance based topic:

TABLE OF CONTENTS

• Introduction
• Chapter 1: Origins of the Renaissance in the Classical World
• Chapter 2: Artists of the Renaissance
• Chapter 3: The Spread of the Renaissance
• Chapter 4: The Renaissance and the Reformation

Mentioned below is a checklist to make sure you’ve included all the required information:

• Title page includes all the information
• Acknowledgements
• Concise summary of the dissertation 
• Table of contents
• Clear and precise introduction
• Literature review that includes patterns, themes, and debates
• Theoretical framework of the research
• Description of the used methodology
• Clear mention of the questions answered
• Relevant recommendations for further research
• Citations and bibliography
• Reference list at the end of the thesis
• Format provided by the university is followed
• Start with time management . Make a proper daily schedule and set your deadlines Decide how much time you need to write a section or chapter . Choose the hours and start working on the it. In this way, you’ll be able to complete the this in the given time.
• Remember that the first writing draft is not the final dissertation . Make sure to proofread your writing several times. This will make you present your augmentations in a more precise way,
• Skip the introduction part and leave it for the end. Try to write the main body first, so that you get time to gather your thoughts. This way you will be able to present the introduction in a clear manner as you’ve been working on the this for a long period of time.
• Don’t wait for the end time to get feedback from your supervisor . Try to share the research work more often and a lot earlier than the submission time, so that you get time to improve your mistakes. It may save you from rewriting several chapters and sections.
• Use a reference manager to make it easier for you to mention the citations without taking much time.

PhD must include over  60,000 words and should not exceed the limit of 80,000 words.

It takes around a year or two to complete a dissertation but if you manage time properly and catch up the speed you may be able to complete it in less than 8 months.

Hopefully, this blog assisted you in finding out what is Dissertation, its structure and more. If you require any assistance regarding your application process while enrolling for your further studies, our experts at Leverage Edu are just one click away. Call us anytime at 1800 572 000 for a free counselling session!

Damanpreet Kaur Vohra

Daman is an author with profound expertise in writing engaging and informative content focused on EdTech and Study Abroad. With a keen understanding of these domains, Daman excels at creating complex concepts into accessible, reader-friendly material. With a proven track record of insightful articles, Daman stands as a reliable source for providing content for EdTech and Study Abroad.

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What Is a Capstone Project vs. Thesis

As students near the end of their academic journey, they encounter a crucial project called the capstone – a culmination of all they've learned. But what exactly is a capstone project? 

This article aims to demystify capstone projects, explaining what they are, why they matter, and what you can expect when you embark on this final academic endeavor.

Capstone Project Meaning

A capstone project is a comprehensive, culminating academic endeavor undertaken by students typically in their final year of study. 

It synthesizes their learning experiences, requiring students to apply the knowledge, skills, and competencies gained throughout their academic journey. A capstone project aims to address a real-world problem or explore a topic of interest in depth. 

As interdisciplinary papers, capstone projects encourage critical thinking, problem-solving, and creativity. They allow students to showcase their mastery of their field of study and demonstrate their readiness for future academic or professional pursuits.

Now that we’ve defined what is a capstone project, let’s discuss its importance in the academic landscape. In case you have short-form compositions to handle, simply say, ‘ do my essay for me ,’ and our writers will take care of your workload.

Why Is a Capstone Project Important

A capstone project is crucial because it allows students to combine everything they've learned in school and apply it to real-life situations or big problems. 

It's like the ultimate test of what they know and can do. By working on these projects, students get hands-on experience, learn to think critically and figure out how to solve tough problems. 

Plus, it's a chance to show off their skills and prove they're ready for whatever comes next, whether that's starting a career or going on to more schooling.

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What Is the Purpose of a Capstone Project

Here are three key purposes of a capstone project:

Integration of Knowledge and Skills

Capstones often require students to draw upon the knowledge and skills they have acquired throughout their academic program. The importance of capstone project lies in helping students synthesize what they have learned and apply it to a real-world problem or project. 

This integration helps students demonstrate their proficiency and readiness for graduation or entry into their chosen profession.

Culmination of Learning

Capstone projects culminate a student's academic journey, allowing them to apply theoretical knowledge to real-world scenarios. 

tackling a significant project or problem, students demonstrate their understanding of concepts and their ability to translate them into practical solutions, reinforcing their learning journey.

Professional Development

Capstone projects allow students to develop skills relevant to their future careers. These projects can also be tangible examples of their capabilities to potential employers or graduate programs.

Whether it's conducting research, presenting findings, or collaborating with peers, students gain valuable experience that enhances their professional readiness. 

Types of Capstone Projects

Capstones vary widely depending on the academic discipline, institution, and specific program requirements. Here are some common types:

What Is the Difference Between a Thesis and a Capstone Project

Here's a breakdown of the key differences between a thesis and a capstone project:

How to Write a Capstone Project

Let's dive into the specifics with actionable and meaningful steps for writing a capstone project:

1. Select a Pertinent Topic

Identify a topic that aligns with your academic interests, program requirements, and real-world relevance. Consider issues or challenges within your field that merit further exploration or solution. 

Conduct thorough research to ensure the topic is both feasible and significant. Here are some brilliant capstone ideas for your inspiration.

2. Define Clear Objectives

Clearly articulate the objectives of your capstone project. What specific outcomes do you aim to achieve? 

Whether it's solving a problem, answering a research question, or developing a product, ensure your objectives are specific, measurable, achievable, relevant, and time-bound (SMART).

3. Conduct Comprehensive Research

Dive deep into existing literature, theories, and empirical evidence related to your chosen topic. Identify gaps, controversies, or areas for further investigation. 

Synthesize relevant findings and insights to inform the development of your project and provide a solid foundation for your analysis or implementation.

4. Develop a Structured Plan

What is a capstone project in college without a rigid structure? Outline a comprehensive plan for your capstone project, including key milestones, tasks, and deadlines. 

Break down the project into manageable phases, such as literature review, data collection, analysis, and presentation. Establish clear criteria for success and regularly monitor progress to stay on track.

5. Implement Methodological Rigor

If your project involves research, ensure methodological rigor by selecting appropriate research methods, tools, and techniques. 

Develop a detailed research design or project plan that addresses key methodological considerations, such as sampling, data collection, analysis, and validity. Adhere to ethical guidelines and best practices throughout the research process.

6. Analyze and Interpret Findings

Analyze your data or findings using appropriate analytical techniques and tools. Interpret the results in relation to your research questions or objectives, highlighting key patterns, trends, or insights. 

Critically evaluate the significance and implications of your findings within the broader context of your field or industry.

7. Communicate Effectively

Present your capstone project clearly, concisely, and compellingly. Whether it's a written report, presentation, or multimedia deliverable, tailor your communication style to your target audience. Clearly articulate your research questions, methodology, findings, and conclusions. 

Use visuals, examples, and real-world applications to enhance understanding and engagement. Be prepared to defend your project and answer questions from peers, faculty, or stakeholders.

In wrapping up, what is a capstone project? It’s like the grand finale of your academic journey, where all the knowledge and skills you've acquired come together in one big project. 

It's not just about passing a test or getting a grade – it's about proving you've got what it takes to make a real difference in the world. So, if you ever need capstone project help , our writers will gladly lend you a hand in no time.

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What Is a Capstone Project in College?

How to do a capstone project, how long does a capstone project take to complete.

Annie Lambert

specializes in creating authoritative content on marketing, business, and finance, with a versatile ability to handle any essay type and dissertations. With a Master’s degree in Business Administration and a passion for social issues, her writing not only educates but also inspires action. On EssayPro blog, Annie delivers detailed guides and thought-provoking discussions on pressing economic and social topics. When not writing, she’s a guest speaker at various business seminars.

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

• T. (2023, June 16). What Is a Capstone Project? National University. https://www.nu.edu/blog/what-is-a-capstone-project/
• Lukins, S. (2024, May 12). What is a capstone project? And why is it important? Top Universities. https://www.topuniversities.com/student-info/careers-advice-articles/what-capstone-project-why-it-important
• Capstone Project vs. Thesis: What’s the Difference? (2021, December 9). UAGC. https://www.uagc.edu/blog/capstone-project-vs-thesis-whats-difference

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Xiaolong Bai

Title: Weather Shocks and Stock Market Performance: Insights from China’s Agricultural Sector

Xintong Cai

Methods: Data were collected from 120 female undergraduate students by a 7-day Ecological Momentary Assessment (EMA) data collection period. Positive and negative body talks were obtained through binary questions in the EMA questionnaire. Self-objectification, appearance comparison, body appreciation, emotion were measured by Objectified Body Consciousness Scale (OBCS), The State Appearance Comparison Scale (SACS), The Body Appreciation Scale-2 (BAS-2), and International Positive and Negative Affect Schedule Short Form (I-PANAS-SF) respectively.

Results: Exposure to either positive or negative body talk increases the level of self-objectification (b = .15, p = .004; b = .11, p = .037), body comparison (b = .29, p = .002; b = .25, p < .001), and negative emotion (b = .14, p < .001; b = .10, p < .001) at the within-subject level. Exposure to negative body talk decreases the level of Body appreciation (b = -.05, p = .007). The WS (within-subjects) variance model showed that exposure to positive body talk at within-subject associates with greater WS self-objectification variance (b = 0.84, p < .001), greater WS body comparison variance (b = 0.64, p < .001), and greater WS body appreciation variance (b = .60, p = .002); exposure to negative body talk at within-subject associates with greater WS self-objectification variance (b = 0.33, p = .048), greater WS body appreciation variance (b = 1.02, p < .001), and greater negative emotion state (b = 0.59, p < .001).

Conclusion: Being exposed to both positive and negative body talk predicts a lower emotional status and does harm to body image over time, including a decrease in body appreciation, an increase in self-objectification and appearance comparison. Additionally, exposure to both positive and negative body talk at the within-subject level predicts higher WS variance in emotional status, body appreciation, self-objectification and appearance comparison over time.

Kangcheng He

Dependence on Russian Resources and Exchange Rate Fluctuations During the Russia-Ukraine Conflict

The Asymmetric Impacts of Economic Policy Uncertainty on Different Types of Stock Volatility

Tianyu Qiao

Jack Vasilopoulos

Public results show that the effects of two risk metrics, dividends and market capitalization, exhibited disparate impacts on the capitalization rates of different REIT sectors. Empirical Bayes random-effect estimates, for example, show that dividends significantly influence hotel capitalization rates, while this significance is not observed in the retail sector. Across sectors, most metrics’ within-subject fixed-effect components yielded statistically significant results, except for the percentage of unsecured debt. Finally, the significance of acquisition’s between-subject effect offers evidence of a potential correlation between higher mean acquisition rates and lower capitalization rates.

Runlin Wang

* This finding is preliminary and subject to change

This paper aims to construct a predictive model to identify the level of productivity changes after business school professors achieve tenure. We intend to utilize our predictive results as one of the recruitment criteria for business schools and simulate the implementation effects using counterfactual microsimulations.

Our study is pioneering, with numerous research endeavors focusing on the variations in professors’ outputs before and after tenure, as well as those aimed at identifying factors measuring professors’ research levels. However, few studies have delved into why there is a decline in professors’ outputs post tenure. Furthermore, if a decline in post-tenure output is inevitable, what character traits do professors who experience the least decline possess? After all, regardless of a candidate’s past achievements, the ability to maintain or even enhance accumulated research capabilities is of utmost importance to the institution.

Cel Welch wins prestigious Joukowsky Dissertation Award for groundbreaking advances in diagnostic engineering

The Joukowsky dissertation award in the Life Sciences goes to Cel Welch, who completed their Ph.D. in Biomedical Engineering this spring. Through their dissertation, titled Novel Devices, Physical Mechanisms, and Analytical Techniques for Use in Next Generation Cellular Diagnostics, Welch developed novel electrical and acoustic methods to process tissue into single cells for direct sequencing.

The bulk of Welch’s thesis is focused on electronic and microfluidic devices for cellular manipulation and enrichment, as well as cellular biosensors. Welch also developed a mathematical model and invented two new physical mechanisms for expedited, enzyme-free tissue dissociation. Finally, Welch concluded with additional work using artificial intelligence and machine learning-based cellular diagnostics for cancer, focusing on cervical cancer diagnosis. Welch worked with a multidisciplinary team to create two separate models, as well as a publicly accessible database that will be instrumental in advancing the field by creating a touchstone resource. 

Welch has an impressive portfolio of first-author scientific publications in leading journals, patents, conference proceedings and other contributions. Each of the 13 chapters of their dissertation is a first-author scientific paper that is either already published, under review, or in revision. Welch also submitted five patents from their thesis work. One of these patents was a finalist in the Engineering & Technology Innovation Awards, the largest global recognition for engineering inventors, for the Most Innovative Solution for Digital Health and Social Care.

Welch has garnered numerous recognitions both inside and outside of academia. At Brown, they have been awarded the Graduate Contribution to Community Life Award, School of Engineering Outstanding Thesis Award, and Biomedical Innovations to Impact Grant. Internationally, Welch has received recognition through the  Forbes 30 Under 30 in Science, STAT Wunderkinds, Chemical Abstracts Service Future Leaders,  and the  Institute of Engineering and Technology 95 Inspiring Engineers and Technologists .

Welch shares, “I am deeply moved to have my work, which I care so much about, recognized by a community that has been so instrumental in launching my scientific journey. I have my advisor to thank, as well as the other professors who have served as my mentors and the students who have served as my collaborators and mentees.” 

In February, Welch began a position at Stanford University’s Department of Chemical Engineering as a Baker and NIH NHLBI T32 Postdoctoral Fellow in Zhenan Bao’s Lab. They are currently working on creating a flexible electronic pacemaker to integrate with a fully 3-D printed artificial heart for the ARPA-H HEART project.

Brown is proud to recognize and honor Welch’s dedication to science and engineering with the Joukowsky dissertation award, as their profound scientific journey and strong efforts to promote inclusivity in engineering thus far is indicative of the incredible impact they will continue to make in the field. 

Doctoral candidates and graduates, Mariajosé Rodríguez-Pliego, Cel Welch, Laura Heuman Lark, and Giulia Buccione were selected for the Graduate School's  Joukowsky Family Foundation Outstanding Dissertation Award . Prizes are awarded at the Doctoral Ceremony on May 26, 2024.