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How to write a strong conclusion for your research paper

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17 February 2024

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Writing a research paper is a chance to share your knowledge and hypothesis. It's an opportunity to demonstrate your many hours of research and prove your ability to write convincingly.

Ideally, by the end of your research paper, you'll have brought your readers on a journey to reach the conclusions you've pre-determined. However, if you don't stick the landing with a good conclusion, you'll risk losing your reader’s trust.

Writing a strong conclusion for your research paper involves a few important steps, including restating the thesis and summing up everything properly.

Find out what to include and what to avoid, so you can effectively demonstrate your understanding of the topic and prove your expertise.

• Why is a good conclusion important?

A good conclusion can cement your paper in the reader’s mind. Making a strong impression in your introduction can draw your readers in, but it's the conclusion that will inspire them.

• What to include in a research paper conclusion

There are a few specifics you should include in your research paper conclusion. Offer your readers some sense of urgency or consequence by pointing out why they should care about the topic you have covered. Discuss any common problems associated with your topic and provide suggestions as to how these problems can be solved or addressed.

The conclusion should include a restatement of your initial thesis. Thesis statements are strengthened after you’ve presented supporting evidence (as you will have done in the paper), so make a point to reintroduce it at the end.

Finally, recap the main points of your research paper, highlighting the key takeaways you want readers to remember. If you've made multiple points throughout the paper, refer to the ones with the strongest supporting evidence.

• Steps for writing a research paper conclusion

Many writers find the conclusion the most challenging part of any research project . By following these three steps, you'll be prepared to write a conclusion that is effective and concise.

• Step 1: Restate the problem

Always begin by restating the research problem in the conclusion of a research paper. This serves to remind the reader of your hypothesis and refresh them on the main point of the paper. 

When restating the problem, take care to avoid using exactly the same words you employed earlier in the paper.

• Step 2: Sum up the paper

After you've restated the problem, sum up the paper by revealing your overall findings. The method for this differs slightly, depending on whether you're crafting an argumentative paper or an empirical paper.

Argumentative paper: Restate your thesis and arguments

Argumentative papers involve introducing a thesis statement early on. In crafting the conclusion for an argumentative paper, always restate the thesis, outlining the way you've developed it throughout the entire paper.

It might be appropriate to mention any counterarguments in the conclusion, so you can demonstrate how your thesis is correct or how the data best supports your main points.

Empirical paper: Summarize research findings

Empirical papers break down a series of research questions. In your conclusion, discuss the findings your research revealed, including any information that surprised you.

Be clear about the conclusions you reached, and explain whether or not you expected to arrive at these particular ones.

• Step 3: Discuss the implications of your research

Argumentative papers and empirical papers also differ in this part of a research paper conclusion. Here are some tips on crafting conclusions for argumentative and empirical papers.

Argumentative paper: Powerful closing statement

In an argumentative paper, you'll have spent a great deal of time expressing the opinions you formed after doing a significant amount of research. Make a strong closing statement in your argumentative paper's conclusion to share the significance of your work.

You can outline the next steps through a bold call to action, or restate how powerful your ideas turned out to be.

Empirical paper: Directions for future research

Empirical papers are broader in scope. They usually cover a variety of aspects and can include several points of view.

To write a good conclusion for an empirical paper, suggest the type of research that could be done in the future, including methods for further investigation or outlining ways other researchers might proceed.

If you feel your research had any limitations, even if they were outside your control, you could mention these in your conclusion.

After you finish outlining your conclusion, ask someone to read it and offer feedback. In any research project you're especially close to, it can be hard to identify problem areas. Having a close friend or someone whose opinion you value read the research paper and provide honest feedback can be invaluable. Take note of any suggested edits and consider incorporating them into your paper if they make sense.

• Things to avoid in a research paper conclusion

Keep these aspects to avoid in mind as you're writing your conclusion and refer to them after you've created an outline.

Dry summary

Writing a memorable, succinct conclusion is arguably more important than a strong introduction. Take care to avoid just rephrasing your main points, and don't fall into the trap of repeating dry facts or citations.

You can provide a new perspective for your readers to think about or contextualize your research. Either way, make the conclusion vibrant and interesting, rather than a rote recitation of your research paper’s highlights.

Clichéd or generic phrasing

Your research paper conclusion should feel fresh and inspiring. Avoid generic phrases like "to sum up" or "in conclusion." These phrases tend to be overused, especially in an academic context and might turn your readers off.

The conclusion also isn't the time to introduce colloquial phrases or informal language. Retain a professional, confident tone consistent throughout your paper’s conclusion so it feels exciting and bold.

New data or evidence

While you should present strong data throughout your paper, the conclusion isn't the place to introduce new evidence. This is because readers are engaged in actively learning as they read through the body of your paper.

By the time they reach the conclusion, they will have formed an opinion one way or the other (hopefully in your favor!). Introducing new evidence in the conclusion will only serve to surprise or frustrate your reader.

Ignoring contradictory evidence

If your research reveals contradictory evidence, don't ignore it in the conclusion. This will damage your credibility as an expert and might even serve to highlight the contradictions.

Be as transparent as possible and admit to any shortcomings in your research, but don't dwell on them for too long.

Ambiguous or unclear resolutions

The point of a research paper conclusion is to provide closure and bring all your ideas together. You should wrap up any arguments you introduced in the paper and tie up any loose ends, while demonstrating why your research and data are strong.

Use direct language in your conclusion and avoid ambiguity. Even if some of the data and sources you cite are inconclusive or contradictory, note this in your conclusion to come across as confident and trustworthy.

• Examples of research paper conclusions

Your research paper should provide a compelling close to the paper as a whole, highlighting your research and hard work. While the conclusion should represent your unique style, these examples offer a starting point:

Ultimately, the data we examined all point to the same conclusion: Encouraging a good work-life balance improves employee productivity and benefits the company overall. The research suggests that when employees feel their personal lives are valued and respected by their employers, they are more likely to be productive when at work. In addition, company turnover tends to be reduced when employees have a balance between their personal and professional lives. While additional research is required to establish ways companies can support employees in creating a stronger work-life balance, it's clear the need is there.

Social media is a primary method of communication among young people. As we've seen in the data presented, most young people in high school use a variety of social media applications at least every hour, including Instagram and Facebook. While social media is an avenue for connection with peers, research increasingly suggests that social media use correlates with body image issues. Young girls with lower self-esteem tend to use social media more often than those who don't log onto social media apps every day. As new applications continue to gain popularity, and as more high school students are given smartphones, more research will be required to measure the effects of prolonged social media use.

What are the different kinds of research paper conclusions?

There are no formal types of research paper conclusions. Ultimately, the conclusion depends on the outline of your paper and the type of research you’re presenting. While some experts note that research papers can end with a new perspective or commentary, most papers should conclude with a combination of both. The most important aspect of a good research paper conclusion is that it accurately represents the body of the paper.

Can I present new arguments in my research paper conclusion?

Research paper conclusions are not the place to introduce new data or arguments. The body of your paper is where you should share research and insights, where the reader is actively absorbing the content. By the time a reader reaches the conclusion of the research paper, they should have formed their opinion. Introducing new arguments in the conclusion can take a reader by surprise, and not in a positive way. It might also serve to frustrate readers.

How long should a research paper conclusion be?

There's no set length for a research paper conclusion. However, it's a good idea not to run on too long, since conclusions are supposed to be succinct. A good rule of thumb is to keep your conclusion around 5 to 10 percent of the paper's total length. If your paper is 10 pages, try to keep your conclusion under one page.

What should I include in a research paper conclusion?

A good research paper conclusion should always include a sense of urgency, so the reader can see how and why the topic should matter to them. You can also note some recommended actions to help fix the problem and some obstacles they might encounter. A conclusion should also remind the reader of the thesis statement, along with the main points you covered in the paper. At the end of the conclusion, add a powerful closing statement that helps cement the paper in the mind of the reader.

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The Process of Writing a Research Paper Guide: The Conclusion

• Types of Research Designs
• Choosing a Research Topic
• Preparing to Write
• The Abstract
• The Introduction
• The Literature Review
• The Methodology
• The Results
• The Discussion
• The Conclusion
• Proofreading Your Paper
• Citing Sources
• Annotated Bibliography
• Giving an Oral Presentation
• How to Manage Group Projects
• Writing a Book Review
• Writing a Research Proposal
• Acknowledgements

The conclusion is intended to help the reader understand why your research should matter to them after they have finished reading the paper. A conclusion is not merely a summary of the main topics covered or a re-statement of your research problem, but a synthesis of key points and, if applicable, where you recommend new areas for future research. For most college-level research papers, one or two well-developed paragraphs is sufficient for a conclusion, although in some cases, three or more paragraphs may be required.

Conclusions . The Writing Center. University of North Carolina;  Conclusions . The Writing Lab and The OWL. Purdue University.

Importance of a Good Conclusion

A well-written conclusion provides you with important opportunities to demonstrate to the reader your understanding of the research problem. These include:

• Presenting the last word on the issues you raised in your paper . Just as the introduction gives a first impression to your reader, the conclusion offers a chance to leave a lasting impression. Do this, for example, by highlighting key findings in your analysis or result section or by noting important or unexpected implications applied to practice.
• Summarizing your thoughts and conveying the larger significance of your study . The conclusion is an opportunity to succinctly answer [or in some cases, to re-emphasize]  the "So What?" question by placing the study within the context of how your research advances past research about the topic.
• Identifying how a gap in the literature has been addressed . The conclusion can be where you describe how a previously identified gap in the literature [described in your literature review section] has been filled by your research.
• Demonstrating the importance of your ideas . Don't be shy. The conclusion offers you the opportunity to elaborate on the impact and significance of your findings.
• Introducing possible new or expanded ways of thinking about the research problem . This does not refer to introducing new information [which should be avoided], but to offer new insight and creative approaches for framing or contextualizing the research problem based on the results of your study.

Bunton, David. “The Structure of PhD Conclusion Chapters.”  Journal of English for Academic Purposes  4 (July 2005): 207–224;  Conclusions . The Writing Center. University of North Carolina; Kretchmer, Paul.  Twelve Steps to Writing an Effective Conclusion . San Francisco Edit, 2003-2008;  Conclusions . The Writing Lab and The OWL. Purdue University.

Structure and Writing Style

I.  General Rules

The function of your paper's conclusion is to restate the main argument . It reminds the reader of the strengths of your main argument(s) and reiterates the most important evidence supporting those argument(s). Do this by stating clearly the context, background, and necessity of pursuing the research problem you investigated in relation to an issue, controversy, or a gap found in the literature. Make sure, however, that your conclusion is not simply a repetitive summary of the findings. This reduces the impact of the argument(s) you have developed in your essay.

When writing the conclusion to your paper, follow these general rules:

• State your conclusions in clear, simple language. Re-state the purpose of your study then state how your findings differ or support those of other studies and why [i.e., what were the unique or new contributions your study made to the overall research about your topic?].
• Do not simply reiterate your results or the discussion of your results. Provide a synthesis of arguments presented in the paper to show how these converge to address the research problem and the overall objectives of your study
• Indicate opportunities for future research if you haven't already done so in the discussion section of your paper. Highlighting the need for further research provides the reader with evidence that you have an in-depth awareness of the research problem.

Consider the following points to help ensure your conclusion is presented well:

• If the argument or purpose of your paper is complex, you may need to summarize the argument for your reader.
• If, prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the end of your paper to describe your main points and explain their significance.
• Move from a detailed to a general level of consideration that returns the topic to the context provided by the introduction or within a new context that emerges from the data.

The conclusion also provides a place for you to persuasively and succinctly restate your research problem, given that the reader has now been presented with all the information about the topic . Depending on the discipline you are writing in, the concluding paragraph may   contain your reflections on the evidence presented, or on the essay's central research problem. However, the nature of being introspective about the research you have done will depend on the topic and whether your professor wants you to express your observations in this way.

NOTE : If asked to think introspectively about the topics, do not delve into idle speculation. Being introspective means looking within yourself as an author to try and understand an issue more deeply, not to guess at possible outcomes or make up scenarios not supported by evidence.

II.  Developing a Compelling Conclusion

Although an effective conclusion needs to be clear and succinct, it does not need to be written passively or lack a compelling narrative. Strategies to help you move beyond merely summarizing the key points of your research paper may include any of the following strategies:

• If your essay deals with a contemporary problem, warn readers of the possible consequences of not attending to the problem.
• Recommend a specific course or courses of action that, if adopted, could address a specific problem in practice or in the development of new knowledge.
• Cite a relevant quotation or expert opinion already noted in your paper in order to lend authority to the conclusion you have reached [a good place to look is research from your literature review].
• Explain the consequences of your research in a way that elicits action or demonstrates urgency in seeking change.
• Restate a key statistic, fact, or visual image to emphasize the ultimate point of your paper.
• If your discipline encourages personal reflection, illustrate your concluding point with a relevant narrative drawn from your own life experiences.
• Return to an anecdote, an example, or a quotation that you presented in your introduction, but add further insight derived from the findings of your study; use your interpretation of results to recast it in new or important ways.
• Provide a "take-home" message in the form of a strong, succinct statement that you want the reader to remember about your study.

III. Problems to Avoid

Failure to be concise Your conclusion section should be  concise  and to the point. Conclusions that are too lengthy often have unnecessary information in them. The conclusion is not the place for details about your methodology or results. Although you should give a summary of what was learned from your research, this summary should be relatively brief, since the emphasis in the conclusion is on the implications, evaluations, insights, and other forms of analysis that you make. Strategies for writing concisely can be found  here .

Failure to comment on larger, more significant issues In the introduction, your task was to move from the general [the field of study] to the specific [the research problem]. However, in the conclusion, your task is to move from a specific discussion [your research problem] back to a general discussion [i.e., how your research contributes new understanding or fills an important gap in the literature]. In short, the conclusion is where you should place your research within a larger context [visualize your paper as an hourglass--start with a broad introduction and review of the literature, move to the specific analysis and discussion, conclude with a broad summary of the study's implications and significance].

Failure to reveal problems and negative results Negative aspects of the research process should  never  be ignored. Problems, drawbacks, and challenges encountered during your study should be summarized as a way of qualifying your overall conclusions. If you encountered negative or unintended results [i.e., findings that are validated outside the research context in which they were generated], you must report them in the results section and discuss their implications in the discussion section of your paper. In the conclusion, use your summary of the negative results as an opportunity to explain their possible significance and/or how they may form the basis for future research.

Failure to provide a clear summary of what was learned In order to be able to discuss how your research fits back into your field of study [and possibly the world at large], you need to summarize briefly and succinctly how it contributes to new knowledge or a new understanding about the research problem. This element of your conclusion may be only a few sentences long.

Failure to match the objectives of your research Often research objectives in the social sciences change while the research is being carried out. This is not a problem unless you forget to go back and refine the original objectives in your introduction. As these changes emerge they must be documented so that they accurately reflect what you were trying to accomplish in your research [not what you thought you might accomplish when you began].

Resist the urge to apologize If you've immersed yourself in studying the research problem, you presumably should know a good deal about it, perhaps even more than your professor! Nevertheless, by the time you have finished writing, you may be having some doubts about what you have produced. Repress those doubts!  Don't undermine your authority by saying something like, "This is just one approach to examining this problem; there may be other, much better approaches that...." The overall tone of your conclusion should convey confidence to the reader.

Assan, Joseph.  Writing the Conclusion Chapter: The Good, the Bad and the Missing . Department of Geography, University of Liverpool;  Concluding Paragraphs . College Writing Center at Meramec. St. Louis Community College;  Conclusions . The Writing Center. University of North Carolina;  Conclusions . The Writing Lab and The OWL. Purdue University; Freedman, Leora  and Jerry Plotnick.  Introductions and Conclusions . The Lab Report. University College Writing Centre. University of Toronto; Leibensperger, Summer.  Draft Your Conclusion . Academic Center, the University of Houston-Victoria, 2003;  Make Your Last Words Count . The Writer’s Handbook. Writing Center. University of Wisconsin, Madison;  Tips for Writing a Good Conclusion . Writing@CSU. Colorado State University; Kretchmer, Paul.  Twelve Steps to Writing an Effective Conclusion . San Francisco Edit, 2003-2008;  Writing Conclusions . Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University;  Writing: Considering Structure and Organization . Institute for Writing Rhetoric. Dartmouth College.

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• Writing Tips

How to Write a Conclusion for a Research Paper

• 3-minute read
• 29th August 2023

If you’re writing a research paper, the conclusion is your opportunity to summarize your findings and leave a lasting impression on your readers. In this post, we’ll take you through how to write an effective conclusion for a research paper and how you can:

·   Reword your thesis statement

·   Highlight the significance of your research

·   Discuss limitations

·   Connect to the introduction

·   End with a thought-provoking statement

Rewording Your Thesis Statement

Begin your conclusion by restating your thesis statement in a way that is slightly different from the wording used in the introduction. Avoid presenting new information or evidence in your conclusion. Just summarize the main points and arguments of your essay and keep this part as concise as possible. Remember that you’ve already covered the in-depth analyses and investigations in the main body paragraphs of your essay, so it’s not necessary to restate these details in the conclusion.

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Highlighting the Significance of Your Research

The conclusion is a good place to emphasize the implications of your research . Avoid ambiguous or vague language such as “I think” or “maybe,” which could weaken your position. Clearly explain why your research is significant and how it contributes to the broader field of study.

Here’s an example from a (fictional) study on the impact of social media on mental health:

Discussing Limitations

Although it’s important to emphasize the significance of your study, you can also use the conclusion to briefly address any limitations you discovered while conducting your research, such as time constraints or a shortage of resources. Doing this demonstrates a balanced and honest approach to your research.

Connecting to the Introduction

In your conclusion, you can circle back to your introduction , perhaps by referring to a quote or anecdote you discussed earlier. If you end your paper on a similar note to how you began it, you will create a sense of cohesion for the reader and remind them of the meaning and significance of your research.

Ending With a Thought-Provoking Statement

Consider ending your paper with a thought-provoking and memorable statement that relates to the impact of your research questions or hypothesis. This statement can be a call to action, a philosophical question, or a prediction for the future (positive or negative). Here’s an example that uses the same topic as above (social media and mental health):

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• Knowledge Base
• Dissertation

How to Write a Thesis or Dissertation Conclusion

Published on September 6, 2022 by Tegan George and Shona McCombes. Revised on November 20, 2023.

The conclusion is the very last part of your thesis or dissertation . It should be concise and engaging, leaving your reader with a clear understanding of your main findings, as well as the answer to your research question .

In it, you should:

• Clearly state the answer to your main research question
• Summarize and reflect on your research process
• Make recommendations for future work on your thesis or dissertation topic
• Show what new knowledge you have contributed to your field
• Wrap up your thesis or dissertation

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Table of contents

Discussion vs. conclusion, how long should your conclusion be, step 1: answer your research question, step 2: summarize and reflect on your research, step 3: make future recommendations, step 4: emphasize your contributions to your field, step 5: wrap up your thesis or dissertation, full conclusion example, conclusion checklist, other interesting articles, frequently asked questions about conclusion sections.

While your conclusion contains similar elements to your discussion section , they are not the same thing.

Your conclusion should be shorter and more general than your discussion. Instead of repeating literature from your literature review , discussing specific research results , or interpreting your data in detail, concentrate on making broad statements that sum up the most important insights of your research.

As a rule of thumb, your conclusion should not introduce new data, interpretations, or arguments.

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Depending on whether you are writing a thesis or dissertation, your length will vary. Generally, a conclusion should make up around 5–7% of your overall word count.

An empirical scientific study will often have a short conclusion, concisely stating the main findings and recommendations for future research. A humanities dissertation topic or systematic review , on the other hand, might require more space to conclude its analysis, tying all the previous sections together in an overall argument.

Your conclusion should begin with the main question that your thesis or dissertation aimed to address. This is your final chance to show that you’ve done what you set out to do, so make sure to formulate a clear, concise answer.

• Don’t repeat a list of all the results that you already discussed
• Do synthesize them into a final takeaway that the reader will remember.

An empirical thesis or dissertation conclusion may begin like this:

A case study –based thesis or dissertation conclusion may begin like this:

In the second example, the research aim is not directly restated, but rather added implicitly to the statement. To avoid repeating yourself, it is helpful to reformulate your aims and questions into an overall statement of what you did and how you did it.

Your conclusion is an opportunity to remind your reader why you took the approach you did, what you expected to find, and how well the results matched your expectations.

To avoid repetition , consider writing more reflectively here, rather than just writing a summary of each preceding section. Consider mentioning the effectiveness of your methodology , or perhaps any new questions or unexpected insights that arose in the process.

You can also mention any limitations of your research, but only if you haven’t already included these in the discussion. Don’t dwell on them at length, though—focus on the positives of your work.

• While x limits the generalizability of the results, this approach provides new insight into y .
• This research clearly illustrates x , but it also raises the question of y .

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You may already have made a few recommendations for future research in your discussion section, but the conclusion is a good place to elaborate and look ahead, considering the implications of your findings in both theoretical and practical terms.

• Based on these conclusions, practitioners should consider …
• To better understand the implications of these results, future studies could address …
• Further research is needed to determine the causes of/effects of/relationship between …

When making recommendations for further research, be sure not to undermine your own work. Relatedly, while future studies might confirm, build on, or enrich your conclusions, they shouldn’t be required for your argument to feel complete. Your work should stand alone on its own merits.

Just as you should avoid too much self-criticism, you should also avoid exaggerating the applicability of your research. If you’re making recommendations for policy, business, or other practical implementations, it’s generally best to frame them as “shoulds” rather than “musts.” All in all, the purpose of academic research is to inform, explain, and explore—not to demand.

Make sure your reader is left with a strong impression of what your research has contributed to the state of your field.

Some strategies to achieve this include:

• Returning to your problem statement to explain how your research helps solve the problem
• Referring back to the literature review and showing how you have addressed a gap in knowledge
• Discussing how your findings confirm or challenge an existing theory or assumption

Again, avoid simply repeating what you’ve already covered in the discussion in your conclusion. Instead, pick out the most important points and sum them up succinctly, situating your project in a broader context.

The end is near! Once you’ve finished writing your conclusion, it’s time to wrap up your thesis or dissertation with a few final steps:

• It’s a good idea to write your abstract next, while the research is still fresh in your mind.
• Next, make sure your reference list is complete and correctly formatted. To speed up the process, you can use our free APA citation generator .
• Once you’ve added any appendices , you can create a table of contents and title page .
• Finally, read through the whole document again to make sure your thesis is clearly written and free from language errors. You can proofread it yourself , ask a friend, or consider Scribbr’s proofreading and editing service .

Here is an example of how you can write your conclusion section. Notice how it includes everything mentioned above:

V. Conclusion

The current research aimed to identify acoustic speech characteristics which mark the beginning of an exacerbation in COPD patients.

The central questions for this research were as follows: 1. Which acoustic measures extracted from read speech differ between COPD speakers in stable condition and healthy speakers? 2. In what ways does the speech of COPD patients during an exacerbation differ from speech of COPD patients during stable periods?

All recordings were aligned using a script. Subsequently, they were manually annotated to indicate respiratory actions such as inhaling and exhaling. The recordings of 9 stable COPD patients reading aloud were then compared with the recordings of 5 healthy control subjects reading aloud. The results showed a significant effect of condition on the number of in- and exhalations per syllable, the number of non-linguistic in- and exhalations per syllable, and the ratio of voiced and silence intervals. The number of in- and exhalations per syllable and the number of non-linguistic in- and exhalations per syllable were higher for COPD patients than for healthy controls, which confirmed both hypotheses.

However, the higher ratio of voiced and silence intervals for COPD patients compared to healthy controls was not in line with the hypotheses. This unpredicted result might have been caused by the different reading materials or recording procedures for both groups, or by a difference in reading skills. Moreover, there was a trend regarding the effect of condition on the number of syllables per breath group. The number of syllables per breath group was higher for healthy controls than for COPD patients, which was in line with the hypothesis. There was no effect of condition on pitch, intensity, center of gravity, pitch variability, speaking rate, or articulation rate.

This research has shown that the speech of COPD patients in exacerbation differs from the speech of COPD patients in stable condition. This might have potential for the detection of exacerbations. However, sustained vowels rarely occur in spontaneous speech. Therefore, the last two outcome measures might have greater potential for the detection of beginning exacerbations, but further research on the different outcome measures and their potential for the detection of exacerbations is needed due to the limitations of the current study.

Checklist: Conclusion

I have clearly and concisely answered the main research question .

I have summarized my overall argument or key takeaways.

I have mentioned any important limitations of the research.

I have given relevant recommendations .

I have clearly explained what my research has contributed to my field.

I have  not introduced any new data or arguments.

You've written a great conclusion! Use the other checklists to further improve your dissertation.

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In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

For a stronger dissertation conclusion , avoid including:

• Important evidence or analysis that wasn’t mentioned in the discussion section and results section
• Generic concluding phrases (e.g. “In conclusion …”)
• Weak statements that undermine your argument (e.g., “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

The conclusion of your thesis or dissertation should include the following:

• A restatement of your research question
• A summary of your key arguments and/or results
• A short discussion of the implications of your research

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How to Write a Conclusion for a Research Paper

Do you ever feel like you’re inside a black hole when it comes time to write your research paper conclusion? You’ve spent weeks (or months!) gathering reliable sources and supporting evidence, but now that the big moment has come, you don’t know how to sum up all of your hard work! But fear not: even though reaching an effective conclusion for a research paper can seem daunting at times, with a few tips and tricks from experts in the field, anyone can learn how to master this crucial writing skill. In this blog post, we’ll talk about some of the most successful strategies for crafting an impressive conclusion for your next masterpiece.

Summarize the main points of your research paper

One of the most important parts of research writing is the conclusion, as it acts as not only a summary of not only your research paper but also a representation of your overall writing ability. Crafting an effective research paper conclusion requires careful consideration of the research evidence and an ability to identify themes and draw connections between these themes. Fortunately, there are several tips to help writers in their journey to composing an effective research paper conclusion. From making sure the conclusion connects to the introduction to summarizing research findings in new and creative ways, following a few simple steps can ensure that writers finish their research papers with confidence.

Identify any unresolved questions or issues in the paper

Finishing up a research paper can often be the hardest part, leading to advice such as “write the conclusion last.” Unaddressed questions and issues within the paper present an additional challenge when writing the closing remarks. Careful consideration of how to end a research paper should include an honest assessment of what remains unresolved after studying the topic. Addressing any remaining questions or issues will not only ensure closure on your research paper; it also has lasting benefits by providing advice for future studies on similar topics.

Offer a solution or suggestion for future research

To successfully conclude a research paper, it is important to apply certain tricks and advice from experts. Future research should focus on understanding the ways in which a good conclusion can be written so as to add value to the overall paper. Discussions could focus on elements that are generally valued in concluding paragraphs, such as summarizing key findings and implications of the study, validating the research problem statement, and linking back to previously presented evidence. With this kind of insight into concluding statements, researchers would have better chances of producing worthwhile scholarly contributions .

Reflect on the overall implications of your findings

After completing the research process and coming to a conclusion, it is important to reflect on its overall implication. When it comes to how to end a research paper, one must think about what the conclusion implies for future endeavors and application of knowledge. Reflecting on implications can create questions for further research opportunities or exalt original interpretations from the conclusion. Writing with this in mind allows conclusion statements that truly encapsulate the importance of research outcomes.

Restate the thesis in different terms

Writing a strong conclusion for your research paper can be tricky, but there are tips and tricks that can help. One great technique is to restate the thesis in different terms. Doing so allows you to emphasize the main points of your paper and tie them all together into one appealing conclusion. Additionally, it needs to follow from the content covered throughout the body of your essay and connect it with other information presented at the beginning or throughout the paper. With some clever word choices and rhetorical devices, you have the potential to create an effective ending that will leave your reader with a lasting impression.

End with a call to action for readers to take away from your work

As concluding a research paper can be challenging, it is important to reiterate the main ideas and provide an actionable call to conclusion. While providing advice to readers is a great way to tie up loose ends in any research paper, one must also think carefully about what advice they provide. Offer up a course of action that pushes forward your thesis while remaining conscious of the limitations and complexities behind your work. An effective concluding statement speaks on behalf of both those researching and reading, leaving a lasting impression without unintentionally oversimplifying the material.

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How to Write Conclusion in Research Paper (With Example)

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Writing a strong conclusion is a crucial part of any research paper. It provides a final opportunity to summarize your key findings, restate your thesis, and leave a lasting impression on your reader. However, many students struggle with how to effectively write a conclusion that ties everything together.

In this article, we’ll provide some tips and strategies for writing a compelling conclusion, along with an example to help illustrate the process. By following these guidelines, you can ensure that your research paper ends on a high note and leaves a lasting impact on your audience.

Why Conclusion is Important in Research Paper

The conclusion is the final chapter of your research paper journey, sealing the deal on all your hard work. After thoroughly laying out your main points and arguments in the body paragraphs, the conclusion gives you a chance to tie everything together into a neat, cohesive package.

More than just summarizing your key ideas, an effective conclusion shows readers the bigger picture of your research and why it matters. It highlights the significance of your findings , explains how your work contributes to the field, and points to potential future directions stemming from your study.

The conclusion is your last chance to leave a lasting impact and compel readers to seriously consider your perspective. With the right phrasing and tone, you can amplify the power of your work. Choose your words wisely, be persuasive yet diplomatic, and guide readers to walk away feeling satisfied by your reasoning and conclusions.

Approach the conclusion thoughtfully, reflect deeply on the larger meaning of your research, and craft impactful final sentences that linger in the reader’s mind. Wield your conclusion skillfully to make your research paper transformative and memorable. A powerful, thoughtful conclusion inspires action, sparks curiosity, and showcases the valuable insights you bring to the academic conversation.

How to Write Conclusion for a Research Paper

Crafting an effective conclusion in research paper requires thoughtful consideration and deliberate effort. After presenting your findings and analysis, the conclusion allows you to close your work with a flourish.

Begin by briefly summarizing the main points of your paper, provide a quick recap of your thesis, methodology, and key findings without repeating too much details from the body. Use this as an opportunity to reinforce your main argument and position within the field.

Next, highlight the significance and implications of your research. What new insights or perspectives does your work contribute? Discuss how your findings can inform future studies or practical applications. Convey why your research matters and how it moves the needle forward in your discipline.

Address any limitations of the current study and propose potential next steps that could be taken by you or other scholars to further the research. This shows readers you have critically considered ways to continue expanding knowledge in this area.

Finally, close with a memorable statement that captures the essence of your work and leaves a lasting impression. This could be an apt metaphor, a call to action, or a thought provoking question for readers to ponder. Choose words that will resonate with your audience and demonstrate the impact of your research.

With care and creativity, your conclusion can elevate your paper and cement your scholarly authority. Revisit often as you write to ensure your conclusion accomplishes its purpose, to convince readers of the value of your study and ignite further progress in your field.

What Not to Include in a Research Paper Conclusion

1. New Data: In a research paper conclusion, avoid presenting new data or evidence that wasn’t discussed earlier in the paper. It’s the time to summarize, analyze, or explain the significance of data already provided, not to introduce new material.

2. Irrelevant Details: The conclusion is not the spot for extraneous details not directly related to your research or its findings. Be focused and concise, tying up the paper neatly without going off-target.

3. Personal Opinions: Try not to include personal beliefs or subjective opinions unless your paper calls for it. Stick to empirical evidence, facts, and objective interpretation of your research.

4. Vague Summarization: While summarizing is the essence of a conclusion, too much of a broad or vague narrative should be avoided. Your conclusion shouldn’t be a generalization of the research but should specifically state your significant findings and their implications.

5. Overstating Results: No matter how exhilarating your research may be, don’t exaggerate its implications or general applications. Remember to acknowledge limitations or potential areas for future exploration.

6. Procrastinating: Refrain from leaving unresolved issues for future research. The conclusion is meant to tie up loose ends, not create more.

7. Repetition: While some reiteration is necessary, completely repeating the same phrases and points made previously can make your conclusion sound boring and redundant. Instead, try to look at your argument from a fresh, summarized perspective.

8. Apologies: Do not apologize or discredit your research efforts. Avoid phrases like, “This research was only” or “Although the study wasn’t able to prove”. A conclusion should confidently present your research results even if they’re unexpected or differ from your hypothesis.

9. Impractical Recommendations: While it’s often good to suggest directions for future research, don’t go overboard by proposing impractical or unachievable goals. Keep your recommendations relevant to your findings and within the realm of possibility.

10. Too Much Jargon: While it’s appropriate to use technical language throughout your research paper, remember the conclusion might be what a layman reads. Stick with a happy medium of professional lingo intermixed with understandable, plain language.

Also Check:   Conclusion for Internship Report

Conclusion in research Example

Research: Impact of Social Media Use on Adolescent Mental Health.

In conclusion, this study has demonstrated the significant impact of social media use on adolescent mental health. Our findings indicate that frequent social media use is associated with higher levels of anxiety and depression, particularly among girls. These results underscore the need for continued research in this area, as well as the development of interventions and strategies to promote healthy social media use among young people. By addressing this issue, we can help to ensure the well-being and success of the next generation.

Conclusion in Research Paper Example

Research: Impact of climate change on coral reefs in Florida.

In conclusion, the effect of climate change on Florida’s coral reefs presents a significant concern for the state’s ecosystem and economy. The data collected during this investigation reveal a direct correlation between rising ocean temperatures and coral bleaching events. This pattern has increased over the past decade, indicating that coral reefs’ health directly correlates with climate change effects.

Example Conclusion in Research

Research: The Influence of Social Media on Consumer Buying Behavior

Social media significantly shapes consumer buying behavior. Its power to influence is seen through peer opinions, online advertising, and brand communication. However, with the potential for misinformation, the reliability and quality of information are areas for further study. Despite these concerns, businesses leveraging social media can effectively boost their market reach and sales.

Research Paper Conclusion

Research: Impacts of Remote Work on Employee Productivity

Remote work has been found to notably enhance employee productivity. The elimination of commuting time, flexible scheduling, and comforting environment contribute to this increase. However, factors like home distractions and technological difficulties offer room for further research. Yet, integrating remote work can be a strategic pathway towards improved efficiency and workforce satisfaction.

These examples demonstrate techniques for crafting an effective conclusion in a research paper, providing your thesis with a powerful final statement. Now it is your turn to compose a strong concluding paragraph that summarizes your findings, reinforces your central argument, and leaves readers with a memorable takeaway.

Remember to restate your thesis without repeating it verbatim, highlight your main points without introducing new evidence, and end on a note that conveys the significance of your research. With a clear structure and purpose, proper grammar, and impactful writing, you can give your paper the persuasive conclusion it deserves.

Writing an effective conclusion takes practice, but by honing these skills you will elevate your academic writing to new heights. Use the strategies outlined here as a guide, believe in your capabilities, and soon you will be adept at concluding research papers powerfully. The final paragraph is your last chance to impress readers, so make it count!

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Online Guide to Writing and Research

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• Online Guide to Writing

Planning and Writing a Research Paper

Draw Conclusions

As a writer, you are presenting your viewpoint, opinions, evidence, etc. for others to review, so you must take on this task with maturity, courage and thoughtfulness.  Remember, you are adding to the discourse community with every research paper that you write.  This is a privilege and an opportunity to share your point of view with the world at large in an academic setting.

Because research generates further research, the conclusions you draw from your research are important. As a researcher, you depend on the integrity of the research that precedes your own efforts, and researchers depend on each other to draw valid conclusions. 

To test the validity of your conclusions, you will have to review both the content of your paper and the way in which you arrived at the content. You may ask yourself questions, such as the ones presented below, to detect any weak areas in your paper, so you can then make those areas stronger.  Notice that some of the questions relate to your process, others to your sources, and others to how you arrived at your conclusions.

Checklist for Evaluating Your Conclusions

Key Takeaways

• Because research generates further research, the conclusions you draw from your research are important.
• To test the validity of your conclusions, you will have to review both the content of your paper and the way in which you arrived at the content.

Mailing Address: 3501 University Blvd. East, Adelphi, MD 20783 This work is licensed under a  Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License . © 2022 UMGC. All links to external sites were verified at the time of publication. UMGC is not responsible for the validity or integrity of information located at external sites.

Table of Contents: Online Guide to Writing

Chapter 1: College Writing

How Does College Writing Differ from Workplace Writing?

What Is College Writing?

Why So Much Emphasis on Writing?

Chapter 2: The Writing Process

Doing Exploratory Research

Getting from Notes to Your Draft

Introduction

Prewriting - Techniques to Get Started - Mining Your Intuition

Prewriting: Targeting Your Audience

Prewriting: Techniques to Get Started

Prewriting: Understanding Your Assignment

Rewriting: Being Your Own Critic

Rewriting: Creating a Revision Strategy

Rewriting: Getting Feedback

Rewriting: The Final Draft

Techniques to Get Started - Outlining

Techniques to Get Started - Using Systematic Techniques

Thesis Statement and Controlling Idea

Writing: Getting from Notes to Your Draft - Freewriting

Writing: Getting from Notes to Your Draft - Summarizing Your Ideas

Writing: Outlining What You Will Write

Chapter 3: Thinking Strategies

A Word About Style, Voice, and Tone

A Word About Style, Voice, and Tone: Style Through Vocabulary and Diction

Critical Strategies and Writing

Critical Strategies and Writing: Analysis

Critical Strategies and Writing: Evaluation

Critical Strategies and Writing: Persuasion

Critical Strategies and Writing: Synthesis

Developing a Paper Using Strategies

Kinds of Assignments You Will Write

Patterns for Presenting Information

Patterns for Presenting Information: Critiques

Patterns for Presenting Information: Discussing Raw Data

Patterns for Presenting Information: General-to-Specific Pattern

Patterns for Presenting Information: Problem-Cause-Solution Pattern

Patterns for Presenting Information: Specific-to-General Pattern

Patterns for Presenting Information: Summaries and Abstracts

Supporting with Research and Examples

Writing Essay Examinations

Writing Essay Examinations: Make Your Answer Relevant and Complete

Writing Essay Examinations: Organize Thinking Before Writing

Writing Essay Examinations: Read and Understand the Question

Chapter 4: The Research Process

Planning and Writing a Research Paper: Ask a Research Question

Planning and Writing a Research Paper: Cite Sources

Planning and Writing a Research Paper: Collect Evidence

Planning and Writing a Research Paper: Decide Your Point of View, or Role, for Your Research

Planning and Writing a Research Paper: Draw Conclusions

Planning and Writing a Research Paper: Find a Topic and Get an Overview

Planning and Writing a Research Paper: Manage Your Resources

Planning and Writing a Research Paper: Outline

Planning and Writing a Research Paper: Survey the Literature

Planning and Writing a Research Paper: Work Your Sources into Your Research Writing

Research Resources: Where Are Research Resources Found? - Human Resources

Research Resources: What Are Research Resources?

Research Resources: Where Are Research Resources Found?

Research Resources: Where Are Research Resources Found? - Electronic Resources

Research Resources: Where Are Research Resources Found? - Print Resources

Structuring the Research Paper: Formal Research Structure

Structuring the Research Paper: Informal Research Structure

The Nature of Research

The Research Assignment: How Should Research Sources Be Evaluated?

The Research Assignment: When Is Research Needed?

The Research Assignment: Why Perform Research?

Chapter 5: Academic Integrity

Academic Integrity

Giving Credit to Sources

Giving Credit to Sources: Copyright Laws

Giving Credit to Sources: Documentation

Giving Credit to Sources: Style Guides

Integrating Sources

Practicing Academic Integrity

Practicing Academic Integrity: Keeping Accurate Records

Practicing Academic Integrity: Managing Source Material

Practicing Academic Integrity: Managing Source Material - Paraphrasing Your Source

Practicing Academic Integrity: Managing Source Material - Quoting Your Source

Practicing Academic Integrity: Managing Source Material - Summarizing Your Sources

Types of Documentation

Types of Documentation: Bibliographies and Source Lists

Types of Documentation: Citing World Wide Web Sources

Types of Documentation: In-Text or Parenthetical Citations

Types of Documentation: In-Text or Parenthetical Citations - APA Style

Types of Documentation: In-Text or Parenthetical Citations - CSE/CBE Style

Types of Documentation: In-Text or Parenthetical Citations - Chicago Style

Types of Documentation: In-Text or Parenthetical Citations - MLA Style

Types of Documentation: Note Citations

Chapter 6: Using Library Resources

Finding Library Resources

Chapter 7: Assessing Your Writing

How Is Writing Graded?

How Is Writing Graded?: A General Assessment Tool

The Draft Stage

The Draft Stage: The First Draft

The Draft Stage: The Revision Process and the Final Draft

The Draft Stage: Using Feedback

The Research Stage

Using Assessment to Improve Your Writing

Chapter 8: Other Frequently Assigned Papers

Reviews and Reaction Papers: Article and Book Reviews

Reviews and Reaction Papers: Reaction Papers

Writing Arguments

Writing Arguments: Adapting the Argument Structure

Writing Arguments: Purposes of Argument

Writing Arguments: References to Consult for Writing Arguments

Writing Arguments: Steps to Writing an Argument - Anticipate Active Opposition

Writing Arguments: Steps to Writing an Argument - Determine Your Organization

Writing Arguments: Steps to Writing an Argument - Develop Your Argument

Writing Arguments: Steps to Writing an Argument - Introduce Your Argument

Writing Arguments: Steps to Writing an Argument - State Your Thesis or Proposition

Writing Arguments: Steps to Writing an Argument - Write Your Conclusion

Writing Arguments: Types of Argument

Appendix A: Books to Help Improve Your Writing

Dictionaries

General Style Manuals

Researching on the Internet

Special Style Manuals

Writing Handbooks

Appendix B: Collaborative Writing and Peer Reviewing

Collaborative Writing: Assignments to Accompany the Group Project

Collaborative Writing: Informal Progress Report

Collaborative Writing: Issues to Resolve

Collaborative Writing: Methodology

Collaborative Writing: Peer Evaluation

Collaborative Writing: Tasks of Collaborative Writing Group Members

Collaborative Writing: Writing Plan

General Introduction

Peer Reviewing

Appendix C: Developing an Improvement Plan

Working with Your Instructor’s Comments and Grades

Appendix D: Writing Plan and Project Schedule

Devising a Writing Project Plan and Schedule

Reviewing Your Plan with Others

By using our website you agree to our use of cookies. Learn more about how we use cookies by reading our  Privacy Policy .

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How to Write a Conclusion for a Research Paper

Last Updated: July 8, 2024 Approved

This article was co-authored by Christopher Taylor, PhD . Christopher Taylor is an Adjunct Assistant Professor of English at Austin Community College in Texas. He received his PhD in English Literature and Medieval Studies from the University of Texas at Austin in 2014. wikiHow marks an article as reader-approved once it receives enough positive feedback. This article received 43 testimonials and 83% of readers who voted found it helpful, earning it our reader-approved status. This article has been viewed 2,262,712 times.

The conclusion of a research paper needs to summarize the content and purpose of the paper without seeming too wooden or dry. Every basic conclusion must share several key elements, but there are also several tactics you can play around with to craft a more effective conclusion and several you should avoid to prevent yourself from weakening your paper's conclusion. Here are some writing tips to keep in mind when creating a conclusion for your next research paper.

Sample Conclusions

Writing a basic conclusion.

• Do not spend a great amount of time or space restating your topic.
• A good research paper will make the importance of your topic apparent, so you do not need to write an elaborate defense of your topic in the conclusion.
• Usually a single sentence is all you need to restate your topic.
• An example would be if you were writing a paper on the epidemiology of infectious disease, you might say something like "Tuberculosis is a widespread infectious disease that affects millions of people worldwide every year."
• Yet another example from the humanities would be a paper about the Italian Renaissance: "The Italian Renaissance was an explosion of art and ideas centered around artists, writers, and thinkers in Florence."

• A thesis is a narrowed, focused view on the topic at hand.
• This statement should be rephrased from the thesis you included in your introduction. It should not be identical or too similar to the sentence you originally used.
• Try re-wording your thesis statement in a way that complements your summary of the topic of your paper in your first sentence of your conclusion.
• An example of a good thesis statement, going back to the paper on tuberculosis, would be "Tuberculosis is a widespread disease that affects millions of people worldwide every year. Due to the alarming rate of the spread of tuberculosis, particularly in poor countries, medical professionals are implementing new strategies for the diagnosis, treatment, and containment of this disease ."

• A good way to go about this is to re-read the topic sentence of each major paragraph or section in the body of your paper.
• Find a way to briefly restate each point mentioned in each topic sentence in your conclusion. Do not repeat any of the supporting details used within your body paragraphs.
• Under most circumstances, you should avoid writing new information in your conclusion. This is especially true if the information is vital to the argument or research presented in your paper.
• For example, in the TB paper you could summarize the information. "Tuberculosis is a widespread disease that affects millions of people worldwide. Due to the alarming rate of the spread of tuberculosis, particularly in poor countries, medical professionals are implementing new strategies for the diagnosis, treatment, and containment of this disease. In developing countries, such as those in Africa and Southeast Asia, the rate of TB infections is soaring. Crowded conditions, poor sanitation, and lack of access to medical care are all compounding factors in the spread of the disease. Medical experts, such as those from the World Health Organization are now starting campaigns to go into communities in developing countries and provide diagnostic testing and treatments. However, the treatments for TB are very harsh and have many side effects. This leads to patient non-compliance and spread of multi-drug resistant strains of the disease."

• Note that this is not needed for all research papers.
• If you already fully explained what the points in your paper mean or why they are significant, you do not need to go into them in much detail in your conclusion. Simply restating your thesis or the significance of your topic should suffice.
• It is always best practice to address important issues and fully explain your points in the body of your paper. The point of a conclusion to a research paper is to summarize your argument for the reader and, perhaps, to call the reader to action if needed.

• Note that a call for action is not essential to all conclusions. A research paper on literary criticism, for instance, is less likely to need a call for action than a paper on the effect that television has on toddlers and young children.
• A paper that is more likely to call readers to action is one that addresses a public or scientific need. Let's go back to our example of tuberculosis. This is a very serious disease that is spreading quickly and with antibiotic-resistant forms.
• A call to action in this research paper would be a follow-up statement that might be along the lines of "Despite new efforts to diagnose and contain the disease, more research is needed to develop new antibiotics that will treat the most resistant strains of tuberculosis and ease the side effects of current treatments."

• For example, if you are writing a history paper, then you might discuss how the historical topic you discussed matters today. If you are writing about a foreign country, then you might use the conclusion to discuss how the information you shared may help readers understand their own country.

Making Your Conclusion as Effective as Possible

• Since this sort of conclusion is so basic, you must aim to synthesize the information rather than merely summarizing it.
• Instead of merely repeating things you already said, rephrase your thesis and supporting points in a way that ties them all together.
• By doing so, you make your research paper seem like a "complete thought" rather than a collection of random and vaguely related ideas.

• Ask a question in your introduction. In your conclusion, restate the question and provide a direct answer.
• Write an anecdote or story in your introduction but do not share the ending. Instead, write the conclusion to the anecdote in the conclusion of your paper.
• For example, if you wanted to get more creative and put a more humanistic spin on a paper on tuberculosis, you might start your introduction with a story about a person with the disease, and refer to that story in your conclusion. For example, you could say something like this before you re-state your thesis in your conclusion: "Patient X was unable to complete the treatment for tuberculosis due to severe side effects and unfortunately succumbed to the disease."
• Use the same concepts and images introduced in your introduction in your conclusion. The images may or may not appear at other points throughout the research paper.

• Include enough information about your topic to back the statement up but do not get too carried away with excess detail.
• If your research did not provide you with a clear-cut answer to a question posed in your thesis, do not be afraid to indicate as much.
• Restate your initial hypothesis and indicate whether you still believe it or if the research you performed has begun swaying your opinion.
• Indicate that an answer may still exist and that further research could shed more light on the topic at hand.

• This may not be appropriate for all types of research papers. Most research papers, such as one on effective treatment for diseases, will have the information to make the case for a particular argument already in the paper.
• A good example of a paper that might ask a question of the reader in the ending is one about a social issue, such as poverty or government policy.
• Ask a question that will directly get at the heart or purpose of the paper. This question is often the same question, or some version of it, that you may have started with when you began your research.
• Make sure that the question can be answered by the evidence presented in your paper.
• If desired you can briefly summarize the answer after stating the question. You could also leave the question hanging for the reader to answer, though.

• Even without a call to action, you can still make a recommendation to your reader.
• For instance, if you are writing about a topic like third-world poverty, you can various ways for the reader to assist in the problem without necessarily calling for more research.
• Another example would be, in a paper about treatment for drug-resistant tuberculosis, you could suggest donating to the World Health Organization or research foundations that are developing new treatments for the disease.

Avoiding Common Pitfalls

• These sayings usually sound stiff, unnatural, or trite when used in writing.
• Moreover, using a phrase like "in conclusion" to begin your conclusion is a little too straightforward and tends to lead to a weak conclusion. A strong conclusion can stand on its own without being labeled as such.

• Always state the main argument or thesis in the introduction. A research paper is an analytical discussion of an academic topic, not a mystery novel.
• A good, effective research paper will allow your reader to follow your main argument from start to finish.
• This is why it is best practice to start your paper with an introduction that states your main argument and to end the paper with a conclusion that re-states your thesis for re-iteration.

• All significant information should be introduced in the body of the paper.
• Supporting evidence expands the topic of your paper by making it appear more detailed. A conclusion should narrow the topic to a more general point.
• A conclusion should only summarize what you have already stated in the body of your paper.
• You may suggest further research or a call to action, but you should not bring in any new evidence or facts in the conclusion.

• Most often, a shift in tone occurs when a research paper with an academic tone gives an emotional or sentimental conclusion.
• Even if the topic of the paper is of personal significance for you, you should not indicate as much in your paper.
• If you want to give your paper a more humanistic slant, you could start and end your paper with a story or anecdote that would give your topic more personal meaning to the reader.
• This tone should be consistent throughout the paper, however.

• Apologetic statements include phrases like "I may not be an expert" or "This is only my opinion."
• Statements like this can usually be avoided by refraining from writing in the first-person.
• Avoid any statements in the first-person. First-person is generally considered to be informal and does not fit with the formal tone of a research paper.

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• ↑ http://owl.english.purdue.edu/owl/resource/724/04/
• ↑ http://www.crlsresearchguide.org/18_Writing_Conclusion.asp
• ↑ http://writing.wisc.edu/Handbook/PlanResearchPaper.html#conclusion
• ↑ http://writingcenter.unc.edu/handouts/conclusions/

About This Article

To write a conclusion for a research paper, start by restating your thesis statement to remind your readers what your main topic is and bring everything full circle. Then, briefly summarize all of the main points you made throughout your paper, which will help remind your readers of everything they learned. You might also want to include a call to action if you think more research or work needs to be done on your topic by writing something like, "Despite efforts to contain the disease, more research is needed to develop antibiotics." Finally, end your conclusion by explaining the broader context of your topic and why your readers should care about it, which will help them understand why your topic is relevant and important. For tips from our Academic co-author, like how to avoid common pitfalls when writing your conclusion, scroll down! Did this summary help you? Yes No

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Writing An Accurate Conclusion In A Research Study: 5 Step-By-Step Guide

Introduction.

When conducting a research study, it is crucial to provide a well-written and accurate conclusion. The conclusion serves as the final piece of the puzzle, summarizing the main findings, interpreting the results, addressing limitations, providing recommendations, and reiterating the importance of the study. A well-crafted conclusion in a research study not only helps to solidify the research study but also allows readers to understand the significance of the findings and their implications.

In this step-by-step guide, we will walk you through the process of writing an accurate conclusion in a research study. By following these steps, you will be able to effectively summarize your findings, analyze the results, acknowledge any limitations, offer recommendations, and emphasize the importance of your study. So let’s dive in and learn how to write the most accurate conclusion in a research study.

Understanding the Role of a Conclusion In A Research Study

The conclusion of a research study plays a crucial role in summarizing the main findings and providing closure to the study. It is not simply a restatement of the research problem or a summary of the main topics covered. Instead, it is a synthesis of the key points derived from the study. The purpose of a conclusion is to leave a lasting impression on the reader and prompt reflection and contemplation. A well-crafted conclusion goes beyond summarizing the findings; it emphasizes the importance of the study and provides recommendations for future research or action. In essence, the conclusion serves as the final opportunity to convey the significance of the research and its contribution to the field.

Step 1: Summarize the Main Findings

The first step in writing an accurate conclusion for a research study is to summarize the main findings. This is an essential part of the conclusion as it allows the reader to quickly understand the key results of the study. To summarize the main findings, you should revisit the research statement or question that guided your study. Identify the key points or outcomes that answer the research question or support the research statement. In this step, you should avoid introducing new information or discussing any implications or recommendations. The focus should solely be on summarizing the main findings of the study.

It is important to be concise and clear in your summary. Use clear and straightforward language to communicate the main findings without unnecessary jargon or technical terms. By summarizing the main findings in this step, you provide a foundation for the rest of the conclusion, allowing the reader to understand the key results before delving into the interpretation, limitations, and recommendations.

Step 2: Interpret the Results

After summarizing the main findings, the next step in writing an accurate conclusion in a research study is to interpret the results. Interpreting the results involves analyzing the data collected during the study and drawing meaningful conclusions from it. To interpret the results effectively, it is important to consider the research question or hypothesis and compare the findings with existing literature reviews or previous studies. This step allows researchers to determine the significance of their findings and understand the implications of the results. It is essential to provide a clear and concise interpretation of the results, avoiding any biased or subjective opinions. Researchers should objectively analyze the data and present the findings in an unbiased manner.

Additionally, it is important to discuss any unexpected or contradictory results and provide possible explanations for them. By interpreting the results accurately, researchers can provide a comprehensive understanding of the study’s outcomes and contribute to the existing body of knowledge in the field.

Step 3: Address Limitations

Identify the limitations of your research study and describe them in detail. Explain why these limitations exist and how they may have affected the results. Assess the impact of each limitation in relation to the overall findings and conclusions of your study. If appropriate, suggest ways to overcome these limitations in future research.

Step 4: Provide Recommendations

After interpreting the results of your research study, it is important to provide recommendations based on your findings. When providing recommendations, it is crucial to be specific and relevant to the evidence you have uncovered. Your recommendations should stem directly from your work and address any gaps or limitations identified in your study.

Consider recommending a specific course of action or suggesting changes that can be implemented based on your research findings. This could include proposing new strategies, interventions, or policies that can improve the current situation or address the research problem . To lend authority to your recommendations, you can cite relevant quotations or expert opinions that support the conclusions you have reached. This helps to strengthen the validity and credibility of your recommendations.

Additionally, you can also make recommendations for future research. Identify areas that require further investigation or suggest new research questions that can build upon your study. This demonstrates the significance and potential impact of your research in advancing knowledge in the field. Remember to present your recommendations in clear and concise language. Avoid simply restating your findings or the discussion of your results. Instead, provide actionable and practical suggestions that can be implemented based on your research findings.

By providing well-thought-out recommendations, you not only contribute to the existing body of knowledge but also provide guidance for future researchers and practitioners in the field.

Step 5: Reiterate the Importance of the Study

The final step in writing an accurate conclusion in a research study is to reiterate the importance of the study. This step is crucial as it reminds the readers of the significance and relevance of the research. To reiterate the importance of the study, you can start by summarizing the main findings and their implications. Highlight the key contributions and insights that your research has provided to the field. Emphasize how your study has addressed a gap in the existing knowledge and how it has advanced the understanding of the topic.

Furthermore, discuss the practical implications of your research. Explain how the findings can be applied in real-world scenarios or how they can contribute to decision-making processes. This will demonstrate the practical value of your study and its potential impact on various stakeholders.

Additionally, consider discussing the theoretical implications of your research. Explain how your findings have contributed to existing theories or have opened up new avenues for further research. This will highlight the academic significance of your study and its potential to shape future research in the field.

Finally, conclude by emphasizing the overall importance of your study in the broader context. Discuss how your research has added to the body of knowledge and how it has the potential to influence future research, policies, or practices. This will leave a lasting impression on the readers and reinforce the significance of your study.

By reiterating the importance of the study in the conclusion, you provide a strong and compelling ending to your research paper . Including this in the conclusion of a research study helps readers understand the value of your research and its implications, leaving them with a clear sense of its significance and relevance.

In conclusion, writing an accurate conclusion in a research study is crucial for summarizing the main findings, interpreting the results, addressing limitations, providing recommendations, and reiterating the importance of the study. By following the step-by-step guide outlined in this article, researchers can ensure that their conclusions are comprehensive, concise, and impactful.

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Organizing Academic Research Papers: 9. The Conclusion

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The conclusion is intended to help the reader understand why your research should matter to them after they have finished reading the paper. A conclusion is not merely a summary of your points or a re-statement of your research problem but a synthesis of key points. For most essays, one well-developed paragraph is sufficient for a conclusion, although in some cases, a two-or-three paragraph conclusion may be required.

Importance of a Good Conclusion

A well-written conclusion provides you with several important opportunities to demonstrate your overall understanding of the research problem to the reader. These include:

• Presenting the last word on the issues you raised in your paper . Just as the introduction gives a first impression to your reader, the conclusion offers a chance to leave a lasting impression. Do this, for example, by highlighting key points in your analysis or findings.
• Summarizing your thoughts and conveying the larger implications of your study . The conclusion is an opportunity to succinctly answer the "so what?" question by placing the study within the context of past research about the topic you've investigated.
• Demonstrating the importance of your ideas . Don't be shy. The conclusion offers you a chance to elaborate on the significance of your findings.
• Introducing possible new or expanded ways of thinking about the research problem . This does not refer to introducing new information [which should be avoided], but to offer new insight and creative approaches for framing/contextualizing the research problem based on the results of your study.

Conclusions . The Writing Center. University of North Carolina; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion . San Francisco Edit, 2003-2008.

Structure and Writing Style

https://writing.wisc.edu/wp-content/uploads/sites/535/2018/07/conclusions_uwmadison_writingcenter_aug2012.pdf I.  General Rules

When writing the conclusion to your paper, follow these general rules:

• State your conclusions in clear, simple language.
• Do not simply reiterate your results or the discussion.
• Indicate opportunities for future research, as long as you haven't already done so in the discussion section of your paper.

The function of your paper's conclusion is to restate the main argument . It reminds the reader of the strengths of your main argument(s) and reiterates the most important evidence supporting those argument(s). Make sure, however, that your conclusion is not simply a repetitive summary of the findings because this reduces the impact of the argument(s) you have developed in your essay.

Consider the following points to help ensure your conclusion is appropriate:

• If the argument or point of your paper is complex, you may need to summarize the argument for your reader.
• If, prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the end of your paper to describe your main points and explain their significance.
• Move from a detailed to a general level of consideration that returns the topic to the context provided by the introduction or within a new context that emerges from the data.

The conclusion also provides a place for you to persuasively and succinctly restate your research problem, given that the reader has now been presented with all the information about the topic . Depending on the discipline you are writing in, the concluding paragraph may contain your reflections on the evidence presented, or on the essay's central research problem. However, the nature of being introspective about the research you have done will depend on the topic and whether your professor wants you to express your observations in this way.

NOTE : Don't delve into idle speculation. Being introspective means looking within yourself as an author to try and understand an issue more deeply not to guess at possible outcomes.

II.  Developing a Compelling Conclusion

Strategies to help you move beyond merely summarizing the key points of your research paper may include any of the following.

• If your essay deals with a contemporary problem, warn readers of the possible consequences of not attending to the problem.
• Recommend a specific course or courses of action.
• Cite a relevant quotation or expert opinion to lend authority to the conclusion you have reached [a good place to look is research from your literature review].
• Restate a key statistic, fact, or visual image to drive home the ultimate point of your paper.
• If your discipline encourages personal reflection, illustrate your concluding point with a relevant narrative drawn from your own life experiences.
• Return to an anecdote, an example, or a quotation that you introduced in your introduction, but add further insight that is derived from the findings of your study; use your interpretation of results to reframe it in new ways.
• Provide a "take-home" message in the form of a strong, succient statement that you want the reader to remember about your study.

III. Problems to Avoid Failure to be concise The conclusion section should be concise and to the point. Conclusions that are too long often have unnecessary detail. The conclusion section is not the place for details about your methodology or results. Although you should give a summary of what was learned from your research, this summary should be relatively brief, since the emphasis in the conclusion is on the implications, evaluations, insights, etc. that you make. Failure to comment on larger, more significant issues In the introduction, your task was to move from general [the field of study] to specific [your research problem]. However, in the conclusion, your task is to move from specific [your research problem] back to general [your field, i.e., how your research contributes new understanding or fills an important gap in the literature]. In other words, the conclusion is where you place your research within a larger context. Failure to reveal problems and negative results Negative aspects of the research process should never be ignored. Problems, drawbacks, and challenges encountered during your study should be included as a way of qualifying your overall conclusions. If you encountered negative results [findings that are validated outside the research context in which they were generated], you must report them in the results section of your paper. In the conclusion, use the negative results as an opportunity to explain how they provide information on which future research can be based. Failure to provide a clear summary of what was learned In order to be able to discuss how your research fits back into your field of study [and possibly the world at large], you need to summarize it briefly and directly. Often this element of your conclusion is only a few sentences long. Failure to match the objectives of your research Often research objectives change while the research is being carried out. This is not a problem unless you forget to go back and refine your original objectives in your introduction, as these changes emerge they must be documented so that they accurately reflect what you were trying to accomplish in your research [not what you thought you might accomplish when you began].

Resist the urge to apologize If you've immersed yourself in studying the research problem, you now know a good deal about it, perhaps even more than your professor! Nevertheless, by the time you have finished writing, you may be having some doubts about what you have produced. Repress those doubts!  Don't undermine your authority by saying something like, "This is just one approach to examining this problem; there may be other, much better approaches...."

Concluding Paragraphs. College Writing Center at Meramec. St. Louis Community College; Conclusions . The Writing Center. University of North Carolina; Conclusions . The Writing Lab and The OWL. Purdue University; Freedman, Leora  and Jerry Plotnick. Introductions and Conclusions . The Lab Report. University College Writing Centre. University of Toronto; Leibensperger, Summer. Draft Your Conclusion. Academic Center, the University of Houston-Victoria, 2003; Make Your Last Words Count . The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Tips for Writing a Good Conclusion . Writing@CSU. Colorado State University; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion . San Francisco Edit, 2003-2008; Writing Conclusions . Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Writing: Considering Structure and Organization . Institute for Writing Rhetoric. Dartmouth College.

Writing Tip

Don't Belabor the Obvious!

Avoid phrases like "in conclusion...," "in summary...," or "in closing...." These phrases can be useful, even welcome, in oral presentations. But readers can see by the tell-tale section heading and number of pages remaining to read, when an essay is about to end. You'll irritate your readers if you belabor the obvious.

Another Writing Tip

New Insight, Not New Information!

Don't surprise the reader with new information in your Conclusion that was never referenced anywhere else in the paper. If you have new information to present, add it to the Discussion or other appropriate section of the paper.  Note that, although no actual new information is introduced, the conclusion is where you offer your most "original" contributions in the paper; it's where you describe the value of your research, demonstrate your understanding of the material that you’ve presented, and locate your findings within the larger context of scholarship on the topic.

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Home » Research Process – Steps, Examples and Tips

Research Process – Steps, Examples and Tips

Table of Contents

Research Process

Definition:

Research Process is a systematic and structured approach that involves the collection, analysis, and interpretation of data or information to answer a specific research question or solve a particular problem.

Research Process Steps

Research Process Steps are as follows:

Identify the Research Question or Problem

This is the first step in the research process. It involves identifying a problem or question that needs to be addressed. The research question should be specific, relevant, and focused on a particular area of interest.

Conduct a Literature Review

Once the research question has been identified, the next step is to conduct a literature review. This involves reviewing existing research and literature on the topic to identify any gaps in knowledge or areas where further research is needed. A literature review helps to provide a theoretical framework for the research and also ensures that the research is not duplicating previous work.

Formulate a Hypothesis or Research Objectives

Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. A hypothesis is a statement that can be tested to determine its validity, while research objectives are specific goals that the researcher aims to achieve through the research.

Design a Research Plan and Methodology

This step involves designing a research plan and methodology that will enable the researcher to collect and analyze data to test the hypothesis or achieve the research objectives. The research plan should include details on the sample size, data collection methods, and data analysis techniques that will be used.

Collect and Analyze Data

This step involves collecting and analyzing data according to the research plan and methodology. Data can be collected through various methods, including surveys, interviews, observations, or experiments. The data analysis process involves cleaning and organizing the data, applying statistical and analytical techniques to the data, and interpreting the results.

Interpret the Findings and Draw Conclusions

After analyzing the data, the researcher must interpret the findings and draw conclusions. This involves assessing the validity and reliability of the results and determining whether the hypothesis was supported or not. The researcher must also consider any limitations of the research and discuss the implications of the findings.

Communicate the Results

Finally, the researcher must communicate the results of the research through a research report, presentation, or publication. The research report should provide a detailed account of the research process, including the research question, literature review, research methodology, data analysis, findings, and conclusions. The report should also include recommendations for further research in the area.

Review and Revise

The research process is an iterative one, and it is important to review and revise the research plan and methodology as necessary. Researchers should assess the quality of their data and methods, reflect on their findings, and consider areas for improvement.

Ethical Considerations

Throughout the research process, ethical considerations must be taken into account. This includes ensuring that the research design protects the welfare of research participants, obtaining informed consent, maintaining confidentiality and privacy, and avoiding any potential harm to participants or their communities.

Dissemination and Application

The final step in the research process is to disseminate the findings and apply the research to real-world settings. Researchers can share their findings through academic publications, presentations at conferences, or media coverage. The research can be used to inform policy decisions, develop interventions, or improve practice in the relevant field.

Research Process Example

Following is a Research Process Example:

Research Question : What are the effects of a plant-based diet on athletic performance in high school athletes?

Step 1: Background Research Conduct a literature review to gain a better understanding of the existing research on the topic. Read academic articles and research studies related to plant-based diets, athletic performance, and high school athletes.

Step 2: Develop a Hypothesis Based on the literature review, develop a hypothesis that a plant-based diet positively affects athletic performance in high school athletes.

Step 3: Design the Study Design a study to test the hypothesis. Decide on the study population, sample size, and research methods. For this study, you could use a survey to collect data on dietary habits and athletic performance from a sample of high school athletes who follow a plant-based diet and a sample of high school athletes who do not follow a plant-based diet.

Step 4: Collect Data Distribute the survey to the selected sample and collect data on dietary habits and athletic performance.

Step 5: Analyze Data Use statistical analysis to compare the data from the two samples and determine if there is a significant difference in athletic performance between those who follow a plant-based diet and those who do not.

Step 6 : Interpret Results Interpret the results of the analysis in the context of the research question and hypothesis. Discuss any limitations or potential biases in the study design.

Step 7: Draw Conclusions Based on the results, draw conclusions about whether a plant-based diet has a significant effect on athletic performance in high school athletes. If the hypothesis is supported by the data, discuss potential implications and future research directions.

Step 8: Communicate Findings Communicate the findings of the study in a clear and concise manner. Use appropriate language, visuals, and formats to ensure that the findings are understood and valued.

Applications of Research Process

The research process has numerous applications across a wide range of fields and industries. Some examples of applications of the research process include:

• Scientific research: The research process is widely used in scientific research to investigate phenomena in the natural world and develop new theories or technologies. This includes fields such as biology, chemistry, physics, and environmental science.
• Social sciences : The research process is commonly used in social sciences to study human behavior, social structures, and institutions. This includes fields such as sociology, psychology, anthropology, and economics.
• Education: The research process is used in education to study learning processes, curriculum design, and teaching methodologies. This includes research on student achievement, teacher effectiveness, and educational policy.
• Healthcare: The research process is used in healthcare to investigate medical conditions, develop new treatments, and evaluate healthcare interventions. This includes fields such as medicine, nursing, and public health.
• Business and industry : The research process is used in business and industry to study consumer behavior, market trends, and develop new products or services. This includes market research, product development, and customer satisfaction research.
• Government and policy : The research process is used in government and policy to evaluate the effectiveness of policies and programs, and to inform policy decisions. This includes research on social welfare, crime prevention, and environmental policy.

Purpose of Research Process

The purpose of the research process is to systematically and scientifically investigate a problem or question in order to generate new knowledge or solve a problem. The research process enables researchers to:

• Identify gaps in existing knowledge: By conducting a thorough literature review, researchers can identify gaps in existing knowledge and develop research questions that address these gaps.
• Collect and analyze data : The research process provides a structured approach to collecting and analyzing data. Researchers can use a variety of research methods, including surveys, experiments, and interviews, to collect data that is valid and reliable.
• Test hypotheses : The research process allows researchers to test hypotheses and make evidence-based conclusions. Through the systematic analysis of data, researchers can draw conclusions about the relationships between variables and develop new theories or models.
• Solve problems: The research process can be used to solve practical problems and improve real-world outcomes. For example, researchers can develop interventions to address health or social problems, evaluate the effectiveness of policies or programs, and improve organizational processes.
• Generate new knowledge : The research process is a key way to generate new knowledge and advance understanding in a given field. By conducting rigorous and well-designed research, researchers can make significant contributions to their field and help to shape future research.

Tips for Research Process

Here are some tips for the research process:

• Start with a clear research question : A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given time frame and resources.
• Conduct a thorough literature review: A comprehensive literature review will help you to identify gaps in existing knowledge, build on previous research, and avoid duplication. It will also provide a theoretical framework for your research.
• Choose appropriate research methods: Select research methods that are appropriate for your research question, objectives, and sample size. Ensure that your methods are valid, reliable, and ethical.
• Be organized and systematic: Keep detailed notes throughout the research process, including your research plan, methodology, data collection, and analysis. This will help you to stay organized and ensure that you don’t miss any important details.
• Analyze data rigorously: Use appropriate statistical and analytical techniques to analyze your data. Ensure that your analysis is valid, reliable, and transparent.
• I nterpret results carefully : Interpret your results in the context of your research question and objectives. Consider any limitations or potential biases in your research design, and be cautious in drawing conclusions.
• Communicate effectively: Communicate your research findings clearly and effectively to your target audience. Use appropriate language, visuals, and formats to ensure that your findings are understood and valued.
• Collaborate and seek feedback : Collaborate with other researchers, experts, or stakeholders in your field. Seek feedback on your research design, methods, and findings to ensure that they are relevant, meaningful, and impactful.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• Conclusion to Research Process

Many of us have experienced research writing projects as a way to “prove” what we already believe.  An essay assignment may ask us to take a position on a matter, and then support that position with evidence found in research.  You will likely encounter projects like this in several classes in college. 

Because you enter a project like this with a thesis in hand (you already know what you believe!), it is very tempting to look for and use only those sources that agree with you and to discard or overlook the others. If you are lucky, you find enough such sources and construct a paper. Ask yourself the following question, though: what have you found out or investigated during your research? Have you discovered new theories, opinions, or aspects of your subject? Did anything surprise you, intrigue you, or make you look further? If you answered no to these questions, you did not fulfill the purpose of true research, which is to explore, to discover, and to investigate.

So, should you begin every research project as a disinterested individual without opinions, ideas, and beliefs? Of course not! There is nothing wrong about having opinions, ideas, and beliefs about your subject before beginning the research process. Good researchers and writers are passionate about their work and want to share their passion with the world. Moreover, pre-existing knowledge can be a powerful research-starter. But what separates a true researcher from someone who simply looks for “proofs” for a pre-fabricated thesis is that a true researcher is willing to question those pre-existing beliefs and to take his or her understanding of the research topic well beyond what he or she knew at the outset. Speaking in terms of the process theory of writing, a good researcher and writer is willing to create new meaning, a new understanding of his or her subject through research and writing and based on the ideas and beliefs that he or she had entering the research project.

• Revision and Adaptation. Provided by : Lumen Learning. License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike
• Image of the mind as a galaxy. Authored by : Eddi van W.. Located at : https://flic.kr/p/7XaciB . License : CC BY-SA: Attribution-ShareAlike
• Research Writing as Process. Authored by : Pavel Zemliansky. Located at : https://threerivers.digication.com/mod/modchap2 . Project : Methods of Discovery. License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike
• Table of Contents

Instructor Resources (available upon sign-in)

• Overview of Instructor Resources
• Quiz Survey

Reading: Types of Reading Material

• Introduction to Reading
• Outcome: Types of Reading Material
• Characteristics of Texts, Part 1
• Characteristics of Texts, Part 2
• Characteristics of Texts, Part 3
• Characteristics of Texts, Conclusion
• Self Check: Types of Writing

Reading: Reading Strategies

• Outcome: Reading Strategies
• The Rhetorical Situation
• Academic Reading Strategies
• Self Check: Reading Strategies

Reading: Specialized Reading Strategies

• Outcome: Specialized Reading Strategies
• Online Reading Comprehension
• How to Read Effectively in Math
• How to Read Effectively in the Social Sciences
• How to Read Effectively in the Sciences
• 5 Step Approach for Reading Charts and Graphs
• Self Check: Specialized Reading Strategies

Reading: Vocabulary

• Outcome: Vocabulary
• Strategies to Improve Your Vocabulary
• Using Context Clues
• The Relationship Between Reading and Vocabulary
• Self Check: Vocabulary

Reading: Thesis

• Outcome: Thesis
• Locating and Evaluating Thesis Statements
• The Organizational Statement
• Self Check: Thesis

Reading: Supporting Claims

• Outcome: Supporting Claims
• Types of Support
• Supporting Claims
• Self Check: Supporting Claims

Reading: Logic and Structure

• Outcome: Logic and Structure
• Rhetorical Modes
• Inductive and Deductive Reasoning
• Diagramming and Evaluating Arguments
• Logical Fallacies
• Evaluating Appeals to Ethos, Logos, and Pathos
• Self Check: Logic and Structure

Reading: Summary Skills

• Outcome: Summary Skills
• How to Annotate
• Paraphrasing
• Quote Bombs
• Summary Writing
• Self Check: Summary Skills
• Conclusion to Reading

Writing Process: Topic Selection

• Introduction to Writing Process
• Outcome: Topic Selection
• Starting a Paper
• Choosing and Developing Topics
• Back to the Future of Topics
• Developing Your Topic
• Self Check: Topic Selection

Writing Process: Prewriting

• Outcome: Prewriting
• Prewriting Strategies for Diverse Learners
• Rhetorical Context
• Working Thesis Statements
• Self Check: Prewriting

Writing Process: Finding Evidence

• Outcome: Finding Evidence
• Using Personal Examples
• Performing Background Research
• Listening to Sources, Talking to Sources
• Self Check: Finding Evidence

Writing Process: Organizing

• Outcome: Organizing
• Moving Beyond the Five-Paragraph Theme
• Introduction to Argument
• The Three-Story Thesis
• Organically Structured Arguments
• Logic and Structure
• The Perfect Paragraph
• Introductions and Conclusions
• Self Check: Organizing

Writing Process: Drafting

• Outcome: Drafting
• From Outlining to Drafting
• Flash Drafts
• Self Check: Drafting

Writing Process: Revising

• Outcome: Revising
• Seeking Input from Others
• Responding to Input from Others
• The Art of Re-Seeing
• Higher Order Concerns
• Self Check: Revising

Writing Process: Proofreading

• Outcome: Proofreading
• Lower Order Concerns
• Proofreading Advice
• "Correctness" in Writing
• The Importance of Spelling
• Punctuation Concerns
• Self Check: Proofreading
• Conclusion to Writing Process

Research Process: Finding Sources

• Introduction to Research Process
• Outcome: Finding Sources
• The Research Process
• Finding Sources
• What are Scholarly Articles?
• Finding Scholarly Articles and Using Databases
• Database Searching
• Advanced Search Strategies
• Preliminary Research Strategies
• Reading and Using Scholarly Sources
• Self Check: Finding Sources

Research Process: Source Analysis

• Outcome: Source Analysis
• Evaluating Sources
• CRAAP Analysis
• Evaluating Websites
• Synthesizing Sources
• Self Check: Source Analysis

Research Process: Writing Ethically

• Outcome: Writing Ethically
• Academic Integrity
• Defining Plagiarism
• Avoiding Plagiarism
• Using Sources in Your Writing
• Self Check: Writing Ethically

Research Process: MLA Documentation

• Introduction to MLA Documentation
• Outcome: MLA Documentation
• MLA Document Formatting
• MLA Works Cited
• Creating MLA Citations
• MLA In-Text Citations
• Self Check: MLA Documentation

Grammar: Nouns and Pronouns

• Introduction to Grammar
• Outcome: Nouns and Pronouns
• Pronoun Cases and Types
• Pronoun Antecedents
• Try It: Nouns and Pronouns
• Self Check: Nouns and Pronouns

Grammar: Verbs

• Outcome: Verbs
• Verb Tenses and Agreement
• Non-Finite Verbs
• Complex Verb Tenses
• Try It: Verbs
• Self Check: Verbs

Grammar: Other Parts of Speech

• Outcome: Other Parts of Speech
• Comparing Adjectives and Adverbs
• Adjectives and Adverbs
• Conjunctions
• Prepositions
• Try It: Other Parts of Speech
• Self Check: Other Parts of Speech

Grammar: Punctuation

• Outcome: Punctuation
• End Punctuation
• Hyphens and Dashes
• Apostrophes and Quotation Marks
• Brackets, Parentheses, and Ellipses
• Semicolons and Colons
• Try It: Punctuation
• Self Check: Punctuation

Grammar: Sentence Structure

• Outcome: Sentence Structure
• Parts of a Sentence
• Common Sentence Structures
• Run-on Sentences
• Sentence Fragments
• Parallel Structure
• Try It: Sentence Structure
• Self Check: Sentence Structure

Grammar: Voice

• Outcome: Voice
• Active and Passive Voice
• Using the Passive Voice
• Conclusion to Grammar
• Try It: Voice
• Self Check: Voice

Success Skills

• Introduction to Success Skills
• Habits for Success
• Critical Thinking
• Time Management
• Writing in College
• Computer-Based Writing
• Conclusion to Success Skills

How to Write a Research Proposal: (with Examples & Templates)

Table of Contents

Before conducting a study, a research proposal should be created that outlines researchers’ plans and methodology and is submitted to the concerned evaluating organization or person. Creating a research proposal is an important step to ensure that researchers are on track and are moving forward as intended. A research proposal can be defined as a detailed plan or blueprint for the proposed research that you intend to undertake. It provides readers with a snapshot of your project by describing what you will investigate, why it is needed, and how you will conduct the research.  

Your research proposal should aim to explain to the readers why your research is relevant and original, that you understand the context and current scenario in the field, have the appropriate resources to conduct the research, and that the research is feasible given the usual constraints.  

This article will describe in detail the purpose and typical structure of a research proposal , along with examples and templates to help you ace this step in your research journey.  

What is a Research Proposal ?  

A research proposal¹ ,²  can be defined as a formal report that describes your proposed research, its objectives, methodology, implications, and other important details. Research proposals are the framework of your research and are used to obtain approvals or grants to conduct the study from various committees or organizations. Consequently, research proposals should convince readers of your study’s credibility, accuracy, achievability, practicality, and reproducibility.   

With research proposals , researchers usually aim to persuade the readers, funding agencies, educational institutions, and supervisors to approve the proposal. To achieve this, the report should be well structured with the objectives written in clear, understandable language devoid of jargon. A well-organized research proposal conveys to the readers or evaluators that the writer has thought out the research plan meticulously and has the resources to ensure timely completion.  

Purpose of Research Proposals  

A research proposal is a sales pitch and therefore should be detailed enough to convince your readers, who could be supervisors, ethics committees, universities, etc., that what you’re proposing has merit and is feasible . Research proposals can help students discuss their dissertation with their faculty or fulfill course requirements and also help researchers obtain funding. A well-structured proposal instills confidence among readers about your ability to conduct and complete the study as proposed.  

Research proposals can be written for several reasons:³  

• To describe the importance of research in the specific topic  
• Address any potential challenges you may encounter  
• Showcase knowledge in the field and your ability to conduct a study  
• Apply for a role at a research institute  
• Convince a research supervisor or university that your research can satisfy the requirements of a degree program  
• Highlight the importance of your research to organizations that may sponsor your project  
• Identify implications of your project and how it can benefit the audience  

What Goes in a Research Proposal?    

Research proposals should aim to answer the three basic questions—what, why, and how.  

The What question should be answered by describing the specific subject being researched. It should typically include the objectives, the cohort details, and the location or setting.  

The Why question should be answered by describing the existing scenario of the subject, listing unanswered questions, identifying gaps in the existing research, and describing how your study can address these gaps, along with the implications and significance.  

The How question should be answered by describing the proposed research methodology, data analysis tools expected to be used, and other details to describe your proposed methodology.   

Research Proposal Example  

Here is a research proposal sample template (with examples) from the University of Rochester Medical Center. 4 The sections in all research proposals are essentially the same although different terminology and other specific sections may be used depending on the subject.  

Structure of a Research Proposal  

If you want to know how to make a research proposal impactful, include the following components:¹  

1. Introduction  

This section provides a background of the study, including the research topic, what is already known about it and the gaps, and the significance of the proposed research.  

2. Literature review  

This section contains descriptions of all the previous relevant studies pertaining to the research topic. Every study cited should be described in a few sentences, starting with the general studies to the more specific ones. This section builds on the understanding gained by readers in the Introduction section and supports it by citing relevant prior literature, indicating to readers that you have thoroughly researched your subject.  

3. Objectives  

Once the background and gaps in the research topic have been established, authors must now state the aims of the research clearly. Hypotheses should be mentioned here. This section further helps readers understand what your study’s specific goals are.  

4. Research design and methodology  

Here, authors should clearly describe the methods they intend to use to achieve their proposed objectives. Important components of this section include the population and sample size, data collection and analysis methods and duration, statistical analysis software, measures to avoid bias (randomization, blinding), etc.  

5. Ethical considerations  

This refers to the protection of participants’ rights, such as the right to privacy, right to confidentiality, etc. Researchers need to obtain informed consent and institutional review approval by the required authorities and mention this clearly for transparency.  

6. Budget/funding  

Researchers should prepare their budget and include all expected expenditures. An additional allowance for contingencies such as delays should also be factored in.  

7. Appendices  

This section typically includes information that supports the research proposal and may include informed consent forms, questionnaires, participant information, measurement tools, etc.  

8. Citations  

Important Tips for Writing a Research Proposal  

Writing a research proposal begins much before the actual task of writing. Planning the research proposal structure and content is an important stage, which if done efficiently, can help you seamlessly transition into the writing stage. 3,5  

The Planning Stage  

• Manage your time efficiently. Plan to have the draft version ready at least two weeks before your deadline and the final version at least two to three days before the deadline.
• What is the primary objective of your research?  
• Will your research address any existing gap?  
• What is the impact of your proposed research?  
• Do people outside your field find your research applicable in other areas?  
• If your research is unsuccessful, would there still be other useful research outcomes?  

  The Writing Stage  

• Create an outline with main section headings that are typically used.  
• Focus only on writing and getting your points across without worrying about the format of the research proposal , grammar, punctuation, etc. These can be fixed during the subsequent passes. Add details to each section heading you created in the beginning.   
• Ensure your sentences are concise and use plain language. A research proposal usually contains about 2,000 to 4,000 words or four to seven pages.  
• Don’t use too many technical terms and abbreviations assuming that the readers would know them. Define the abbreviations and technical terms.  
• Ensure that the entire content is readable. Avoid using long paragraphs because they affect the continuity in reading. Break them into shorter paragraphs and introduce some white space for readability.  
• Focus on only the major research issues and cite sources accordingly. Don’t include generic information or their sources in the literature review.  
• Proofread your final document to ensure there are no grammatical errors so readers can enjoy a seamless, uninterrupted read.  
• Use academic, scholarly language because it brings formality into a document.  
• Ensure that your title is created using the keywords in the document and is neither too long and specific nor too short and general.  
• Cite all sources appropriately to avoid plagiarism.  
• Make sure that you follow guidelines, if provided. This includes rules as simple as using a specific font or a hyphen or en dash between numerical ranges.  
• Ensure that you’ve answered all questions requested by the evaluating authority.  

Key Takeaways   

Here’s a summary of the main points about research proposals discussed in the previous sections:  

• A research proposal is a document that outlines the details of a proposed study and is created by researchers to submit to evaluators who could be research institutions, universities, faculty, etc.  
• Research proposals are usually about 2,000-4,000 words long, but this depends on the evaluating authority’s guidelines.  
• A good research proposal ensures that you’ve done your background research and assessed the feasibility of the research.  
• Research proposals have the following main sections—introduction, literature review, objectives, methodology, ethical considerations, and budget.  

Frequently Asked Questions  

Q1. How is a research proposal evaluated?  

A1. In general, most evaluators, including universities, broadly use the following criteria to evaluate research proposals . 6  

• Significance —Does the research address any important subject or issue, which may or may not be specific to the evaluator or university?  
• Content and design —Is the proposed methodology appropriate to answer the research question? Are the objectives clear and well aligned with the proposed methodology?  
• Sample size and selection —Is the target population or cohort size clearly mentioned? Is the sampling process used to select participants randomized, appropriate, and free of bias?  
• Timing —Are the proposed data collection dates mentioned clearly? Is the project feasible given the specified resources and timeline?  
• Data management and dissemination —Who will have access to the data? What is the plan for data analysis?  

Q2. What is the difference between the Introduction and Literature Review sections in a research proposal ?  

A2. The Introduction or Background section in a research proposal sets the context of the study by describing the current scenario of the subject and identifying the gaps and need for the research. A Literature Review, on the other hand, provides references to all prior relevant literature to help corroborate the gaps identified and the research need.  

Q3. How long should a research proposal be?  

A3. Research proposal lengths vary with the evaluating authority like universities or committees and also the subject. Here’s a table that lists the typical research proposal lengths for a few universities.  

Q4. What are the common mistakes to avoid in a research proposal ?  

A4. Here are a few common mistakes that you must avoid while writing a research proposal . 7  

• No clear objectives: Objectives should be clear, specific, and measurable for the easy understanding among readers.  
• Incomplete or unconvincing background research: Background research usually includes a review of the current scenario of the particular industry and also a review of the previous literature on the subject. This helps readers understand your reasons for undertaking this research because you identified gaps in the existing research.  
• Overlooking project feasibility: The project scope and estimates should be realistic considering the resources and time available.   
• Neglecting the impact and significance of the study: In a research proposal , readers and evaluators look for the implications or significance of your research and how it contributes to the existing research. This information should always be included.  
• Unstructured format of a research proposal : A well-structured document gives confidence to evaluators that you have read the guidelines carefully and are well organized in your approach, consequently affirming that you will be able to undertake the research as mentioned in your proposal.  
• Ineffective writing style: The language used should be formal and grammatically correct. If required, editors could be consulted, including AI-based tools such as Paperpal , to refine the research proposal structure and language.  

Thus, a research proposal is an essential document that can help you promote your research and secure funds and grants for conducting your research. Consequently, it should be well written in clear language and include all essential details to convince the evaluators of your ability to conduct the research as proposed.  

This article has described all the important components of a research proposal and has also provided tips to improve your writing style. We hope all these tips will help you write a well-structured research proposal to ensure receipt of grants or any other purpose.  

References  

• Sudheesh K, Duggappa DR, Nethra SS. How to write a research proposal? Indian J Anaesth. 2016;60(9):631-634. Accessed July 15, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037942/  
• Writing research proposals. Harvard College Office of Undergraduate Research and Fellowships. Harvard University. Accessed July 14, 2024. https://uraf.harvard.edu/apply-opportunities/app-components/essays/research-proposals  
• What is a research proposal? Plus how to write one. Indeed website. Accessed July 17, 2024. https://www.indeed.com/career-advice/career-development/research-proposal  
• Research proposal template. University of Rochester Medical Center. Accessed July 16, 2024. https://www.urmc.rochester.edu/MediaLibraries/URMCMedia/pediatrics/research/documents/Research-proposal-Template.pdf  
• Tips for successful proposal writing. Johns Hopkins University. Accessed July 17, 2024. https://research.jhu.edu/wp-content/uploads/2018/09/Tips-for-Successful-Proposal-Writing.pdf  
• Formal review of research proposals. Cornell University. Accessed July 18, 2024. https://irp.dpb.cornell.edu/surveys/survey-assessment-review-group/research-proposals  
• 7 Mistakes you must avoid in your research proposal. Aveksana (via LinkedIn). Accessed July 17, 2024. https://www.linkedin.com/pulse/7-mistakes-you-must-avoid-your-research-proposal-aveksana-cmtwf/  

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Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

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How to Write a Conclusion - Steps with Examples

I remember my college days when one of the most dreadful assignments was writing a research paper. It made me wonder if there was an easier way to help me through it. The worst part was writing the conclusion, which meant wrapping up the entire paper and finally drawing conclusions. It sounds pretty intimidating, doesn't it? How are you supposed to fit all that information into such a short space, and what else might you be missing? In this guide, I will show you how to write a conclusion so you can spare yourself from the distress of it all.

What to Include/ Not Include in a Conclusion?

Professors often stress a lot on writing a good conclusion that includes a wrap-up for your paper or essay. These are some factors you must consider to include in your conclusion:

Restate Your Thesis:

Begin by restating the main argument or thesis of your paper. This reinforces the central point you have been arguing throughout your work.

Summarize Key Points:

Provide a concise summary of the key points and findings from your paper. Highlight the most significant pieces of evidence that support your thesis.

Discuss the Implications:

Explain the broader implications of your findings. How do they contribute to the field of study? What practical applications or theoretical advancements arise from your research?

Address Limitations:

Acknowledge any limitations or weaknesses in your study. This demonstrates a critical and reflective approach to your research and provides a foundation for future work.

Suggest Future Research:

Propose areas for future research. What questions remain unanswered? What further investigations could build on your findings?

End with a Strong Closing Statement:

Conclude with a strong, impactful statement that leaves a lasting impression on your reader. This could be a call to action, a prediction, or a thought-provoking question related to your research topic.

There may also be certain things you would unknowingly add in your conclusion that would ultimately leave a bad impression on the reader. Keep these factors in mind so you may avoid when writing your conclusion for your paper:

New Information:

Avoid introducing new information or ideas that were not covered in the body of the paper. The conclusion is for synthesizing and reflecting on the information already presented.

Detailed Methodology:

Do not include detailed descriptions of your research methods. This information belongs in the methodology section of your paper.

Repetitive Summaries:

Refrain from simply reiterating points that were already made in the results or discussion sections. Instead, focus on synthesizing the information and highlighting its significance.

Speculative Statements:

Avoid idle speculation or guesswork about potential outcomes or implications that are not supported by your research findings.

Apologies or Undermining Your Work:

Do not undermine your work by apologizing for any perceived shortcomings. Present your conclusions confidently and assert the value of your research.

Excessive Length:

Keep the conclusion concise and to the point. Long, drawn-out conclusions can dilute the impact of your final statements.

To put things into perspective, here's what a good and bad conclusion example look like:

Good Example:

Bad Example:

Types of Conclusion

Summarizing conclusion:.

This type is the most common and involves summarizing the main points of the research, reiterating the research question, and restating the significance of the findings.

It is broadly used across different disciplines.

Example: If a study investigated the impact of social media on adolescents' mental health, a summarizing conclusion would reiterate key findings, such as the association between high social media use and increased anxiety and depression levels among adolescents, and emphasize the importance of these findings for developing effective interventions.

Editorial Conclusion:

This type is used less frequently and is suited for research papers that advocate for a particular viewpoint or policy. It presents a strong editorial opinion based on the research findings and offers recommendations or calls to action.

It is suitable for papers focusing on policy recommendations or advocating a specific viewpoint.

Example: For a study on the environmental impact of plastic waste, an editorial conclusion might call for a comprehensive ban on single-use plastics and increased recycling initiatives, urging governments, businesses, and individuals to take immediate action to protect the environment.

Externalizing Conclusion:

This type extends the research beyond the scope of the paper by suggesting future research directions or discussing broader implications of the findings. It is often used in theoretical or exploratory research papers.

It is Ideal for theoretical or exploratory studies.

Example: In a study exploring AI applications in healthcare, an externalizing conclusion might suggest future research into the ethical, legal, and social implications of AI in healthcare and emphasize the need for interdisciplinary collaboration to harness AI's potential while addressing its challenges.

How to Write a Conclusion in 4 Steps [With Examples]

Writing a conclusion may seem a bit tricky, but once you fully understand the essence of what goes into a conclusion, it will become much easier. To demonstrate how to write a conclusion, I will be using WPS Office , a tool designed to be convenient for students, thanks to its easy-to-use interface and free features. You can also utilize WPS AI, as I am in these simple 4 steps, to make the entire process smoother for yourself.

Step 1: Restate The Thesis Statement

Start your conclusion by restating the thesis statement of your research paper. This reminds the reader of the main focus and purpose of your study.

Example: If your thesis statement is "This study investigates the impact of social media on adolescents' mental health, revealing a significant association between high social media usage and increased levels of anxiety and depression.", you can use WPS AI to help improve and rewrite your thesis statement.

Here's how WPS AI can assist you with your thesis statement.

Write your thesis statement in WPS Writer and select the entire text using your mouse.

After selecting the text, a small hover menu will appear. Click on the "WPS AI" icon in this menu.

This will open a list of AI assistance options you can choose from. To ask WPS AI to improve your thesis statement, click on "Improve Writing".

WPS AI will process and return an improved thesis statement. If you don’t like the improved version, click on "Rewrite", or click on "Accept" to replace your text with the improved version.

Step 2: Review Main Supporting Points

Next, we need to summarize the key points of our research. When summarizing the key findings of your research, it’s important to highlight the most significant results and their implications.

Example: Let's say that from our research the most important findings were:

The study found that high social media usage negatively affects adolescents' self-esteem due to constant exposure to idealized images and lifestyles.

Excessive use of social media, particularly before bedtime, was linked to disrupted sleep patterns and insufficient rest, contributing to mental health issues.

Despite being a tool for connection, high social media usage can lead to feelings of loneliness and social isolation as face-to-face interactions decrease.

Here's how WPS AI can assist you summarize the key points of your research for your conclusion.

Let's switch to WPS Office again, and this time let's select the key points that we have written down from our research.

Click on the WPS AI icon from the hover menu to open the list of options you can choose from.

From the list, let's click on "Summarize" to shorten and summarize the key points from our research.

You can now choose to either accept or ask WPS AI to rewrite this summary of key points again.

Step 3: Show Why It Matters

Now that you have laid out all the findings from your paper and WPS AI has effectively summarized them, you can further prompt it to broaden the implications of your findings and follow up with real-world problems.

To get real-world insights using WPS AI, follow these steps:

Click on the WPS AI widget at the top right corner of the WPS Writer interface.

The WPS AI pane will open on the right. Here, simply type in your prompt. Here is an example of a prompt:

"Explain the significance of high social media usage leading to increased anxiety and depression in adolescents, and discuss potential real-world problems and solutions."

WPS AI will display the results, which can now be a part of your summary or can be further summarized or improved with the help of WPS AI.

Step 4: Offer Meaningful Insights

Lastly, provide some final thoughts or insights that will leave a lasting impression on your reader. This can include suggestions for future research, practical applications of your findings, or a call to action based on your conclusions.

Example: Here is an example of how Meaningful Insights can be presented:

Further research is needed to explore the long-term effects of social media usage on adolescent mental health and to identify effective interventions.

Developing and promoting apps that encourage healthy social media use and provide mental health support could mitigate the negative effects identified in the study.

Stakeholders, including policymakers, educators, and parents, should collaborate to create environments that foster healthy digital habits and support adolescents' mental health.

Now, with the help of WPS AI, these points can simply be summarized to get more concise and structured Meaningful Insights for our conclusion.

Bonus Tips: How to Polish your Conclusion with WPS AI

Writing a strong conclusion for your research paper is crucial, and WPS Office is designed to be exceptionally student-friendly. It offers accessible options and advanced features for free, making it an excellent tool for students. One of the standout features is WPS AI, which integrates AI into its writing and proofreading abilities.

Draft Generation: WPS AI can assist you in writing a conclusion by generating an initial draft. This draft serves as a solid foundation, ensuring that all essential elements are included and properly structured.

Grammar and Style Check: WPS AI can identify grammar errors, awkward phrasing, and inconsistencies in your conclusion paragraph. This ensures that your writing is polished and professional.

Sentence Structure Enhancement: The AI can suggest improvements to sentence structures, helping you to vary sentence lengths and styles for better readability and flow. This makes your conclusion more engaging and easier to read.

Vocabulary Enhancement: WPS AI offers synonyms and alternative word choices to enhance the vocabulary in your conclusion, making your writing more sophisticated and engaging.

Clarity and Conciseness: WPS AI can help you refine your conclusion to ensure it effectively summarizes your main points without unnecessary repetition or tangents. This keeps your conclusion focused and impactful.

Refinement and Customization: Once WPS AI has generated the draft, you can refine and personalize it to align with your research and style. This step allows you to inject your voice and insights into the conclusion, making it uniquely yours.

Polishing and Proofreading: After refining the draft, you can use WPS AI to polish the conclusion further. WPS AI's advanced proofreading capabilities ensure that your conclusion is not only coherent and concise but also free of grammatical errors and stylistic inconsistencies.

ByIncorporating WPS AI into your writing routine you can significantly improve your efficiency and the overall quality of your academic work. You can streamline the process of writing your research paper conclusion, saving time and effort while ensuring a high-quality result. Whether you’re summarizing key findings, making policy recommendations, or suggesting future research directions, WPS AI helps you create a compelling and impactful conclusion.

So we have seen how WPS AI can help us write more effective and accurate conclusions, but is this all the help it offers? Absolutely not! With the help of WPS AI, you can further improve your conclusion by making it more fluent and easier to read.

Furthermore, WPS AI is not just a writing tool; it also offers AI spell check features, which can help students proofread their work according to their academic style such as APA, MLA, or Chicago style.

WPS Office has a lot to offer and is a perfect tool for students who need help writing not just effective conclusions but also effective research papers. So if you are stuck with a conclusion or a research paper, consider turning to WPS AI for help.

FAQs about writing a conclusion for paper/ essay

1. how long should a conclusion be.

A well-constructed conclusion typically constitutes approximately 10% of your document's total word count. For instance, in a 1,500-word paper, aim for a conclusion of about 150 words. This provides sufficient space to summarize key points and offer a final overview of the main ideas discussed.

2. How can I make my Conclusion impactful?

Here are some effective strategies for creating an impactful conclusion:

Utilize compelling language to engage the reader effectively.

Ensure the conclusion remains clear and concise, omitting insignificant specifics.

Conclude with a stimulating statement, a call to action, or a reflection on the broader implications of your research findings to make a lasting impact.

3. How do I avoid simply repeating what I've already said in the Conclusion?

To avoid repeating yourself in your conclusion, focus on cohesively summarizing your main ideas rather than reiterating them. Additionally, consider exploring the wider impact of your arguments or suggesting directions for future research on your topic. This approach ensures your conclusion provides fresh perspectives and maintains reader interest.

Perfect Your Conclusion With WPS Office

Your research paper is not complete without a strong conclusion. The person who reads your paper should feel like they have taken away significant key insights from your work. Writing an effective conclusion can sometimes be challenging, but WPS Office, with its AI capabilities, can assist you in helping you with how to write a conclusion to perfection. Incorporate WPS AI into your writing routine to significantly improve your efficiency and the overall quality of your academic work. Try WPS Office today and experience the benefits of AI-assisted writing firsthand.

• 1. How to Write A Literature Review - Steps with Examples
• 2. How to Write a Call to Action - Steps with Examples
• 3. How to Write a Proposal [ Steps & Examples]
• 4. How to Write A thesis statement - Steps with Examples
• 5. How to Write a Hook- Steps With Examples
• 6. How to Write an Argumentative Essay- Steps with Examples

15 years of office industry experience, tech lover and copywriter. Follow me for product reviews, comparisons, and recommendations for new apps and software.

More From Forbes

Transforming market research: the impact of generative ai.

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Ajith Sankaran, Senior Vice President, Course5 Intelligence.

The field of market research has seen paradigm shifts over the years due to forces such as the internet, mobile phones, neural sciences and process automation. Today, generative artificial intelligence (generative AI) is poised to have a truly transformative impact on the market research landscape. This article will explore the profound impact of generative AI on market research, shedding light on the key areas of impact and how significant this will be for the industry.

Impact Of Generative AI On The Market Research Value Chain

Data collection.

Generative AI can aid in improving the agility and efficiency of data collection in different ways. There are already vendors such as Qualtrics and QuestionPro adding generative AI capabilities into their survey tools, enabling rapid survey development. The rich repository of past studies and questionnaires can be used to create custom survey-build solutions that can be fine-tuned to the specific needs of an organization. While it is still early days, there is a potential for a paradigm shift in the data collection by leveraging of generative AI chat-based surveys and metaverse/virtual worlds.

The enhanced search and summarization capabilities of generative AI can be invaluable in desk research and information mining.

Data Management

Generative AI can be used for automated data cleaning and removal of PII data from survey response files. These are relatively easy-to-adopt use cases. Furthermore, generative AI can be invaluable in monitoring data quality in an agile manner. Moreover, with the increased need for bringing in non-survey data streams into market research, the need for more complex data cleaning, data transformation, data classification, etc., is increasing significantly. This is an area where generative AI can make a big impact in driving automation and efficiency.

Data Analysis

One of the most important use cases of generative AI will be for unstructured text and video/audio analytics. Existing approaches of applying AI/ML to unstructured data require training data sets for training the algorithms. Such training data sets are not available for new studies, and some of these studies can have huge amounts of unstructured data. Generative AI can be readily used to mine such unstructured data and generate insights and summaries.

Specifically in qualitative research, generative AI can be a huge help to drive scalability and efficiency, which has been an industry challenge forever. Generative AI enables researchers to tap into vast volumes of customer reviews and customer feedback data in the form of text, audio and video, and run analysis/sentiment analysis at scale to generate insights.

Generative AI can also be used to drive agility in model selection and deployment. These are yet to be perfected for large-scale adoption.

Data Visualization And Reporting

Generative AI can help with insight summarisation, aiding rapid reporting and better data-based storytelling. Leveraging the power of GPT-based image generation tools such as Dall-E, visualization and visual-based reporting can be significantly enhanced. Specifically, when it comes to insight, reporting tools can significantly speed up reporting and visualization.

Meta-Analysis Or Information Synthesis And Insight Democratization

Perhaps the most obvious and arguably the biggest impact of generative AI in market research will be in the realm of information synthesis. The inherent ability of generative AI models to sift through large amounts of data, identify the right sources and stitch together a summarised synthesis is truly revolutionary. Even the best enterprise knowledge management systems today can, at best, throw out a curated list of reports and documents or some “extracts” from these reports when a user searches for insights. With generative AI, all types of users will be able to query the internal market research assets and generate well-triangulated and summarized insights. With the latest developments in generative AI tools, this capability has only increased with the ability of these tools to connect with real-time search results. Generative AI truly drives real insight democratization through self-service and persona-based insight delivery.

As described in a recent HBR article, generative AI can drive a significant increase in question velocity, question variety and question novelty. The article indicates that their research found that 79% of respondents asked more questions when they used generative AI. Specifically, on “novelty,” the article reports: "AI-led respondents to ask unique questions that changed the direction of their team, organization or industry 75% of the time."

Recommendations

• Take the time to understand generative AI and be an early adopter by identifying specific use cases. The initial wins may be small; however, the longer-term value creation from the adoption of generative AI will be immense.

• Train your teams in the use of generative AI as part of larger data literacy and AI training programs. Give specific focus on training on prompts.

• Use a mix of build and buy, but I recommend not trying to build all the generative AI applications in-house. There is a wide range of specialized vendors and platforms that can be adopted by market research teams.

• Generative AI offers immense potential in market research; however, as with any other field of application, there will be challenges and ethical considerations to be mindful of. Aspects such as data privacy, data security, AI bias, etc., are important and need to be considered and addressed. Recognize and prioritize responsible and ethical AI practices, ensuring transparency, fairness and accountability.

Generative AI is transforming how market researchers gather insights and make informed decisions. A recent report by BCG showcasing a survey of CMOs on generative AI showed that while 70% of CMOs reported that they are using generative AI, the top two applications/use cases were personalization (67%) and insight generation (51%). It is to be noted that insight generation came in second place, even above content creation. I believe organizations that embrace generative AI will be better equipped to navigate the complexities of consumer behavior, innovate rapidly and respond to competition and market trends effectively.

Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?

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• Published: 07 August 2024

Models and frameworks for assessing the implementation of clinical practice guidelines: a systematic review

• Nicole Freitas de Mello   ORCID: orcid.org/0000-0002-5228-6691 1 , 2 ,
• Sarah Nascimento Silva   ORCID: orcid.org/0000-0002-1087-9819 3 ,
• Dalila Fernandes Gomes   ORCID: orcid.org/0000-0002-2864-0806 1 , 2 ,
• Juliana da Motta Girardi   ORCID: orcid.org/0000-0002-7547-7722 4 &
• Jorge Otávio Maia Barreto   ORCID: orcid.org/0000-0002-7648-0472 2 , 4  

Implementation Science volume  19 , Article number:  59 ( 2024 ) Cite this article

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The implementation of clinical practice guidelines (CPGs) is a cyclical process in which the evaluation stage can facilitate continuous improvement. Implementation science has utilized theoretical approaches, such as models and frameworks, to understand and address this process. This article aims to provide a comprehensive overview of the models and frameworks used to assess the implementation of CPGs.

A systematic review was conducted following the Cochrane methodology, with adaptations to the "selection process" due to the unique nature of this review. The findings were reported following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. Electronic databases were searched from their inception until May 15, 2023. A predetermined strategy and manual searches were conducted to identify relevant documents from health institutions worldwide. Eligible studies presented models and frameworks for assessing the implementation of CPGs. Information on the characteristics of the documents, the context in which the models were used (specific objectives, level of use, type of health service, target group), and the characteristics of each model or framework (name, domain evaluated, and model limitations) were extracted. The domains of the models were analyzed according to the key constructs: strategies, context, outcomes, fidelity, adaptation, sustainability, process, and intervention. A subgroup analysis was performed grouping models and frameworks according to their levels of use (clinical, organizational, and policy) and type of health service (community, ambulatorial, hospital, institutional). The JBI’s critical appraisal tools were utilized by two independent researchers to assess the trustworthiness, relevance, and results of the included studies.

Database searches yielded 14,395 studies, of which 80 full texts were reviewed. Eight studies were included in the data analysis and four methodological guidelines were additionally included from the manual search. The risk of bias in the studies was considered non-critical for the results of this systematic review. A total of ten models/frameworks for assessing the implementation of CPGs were found. The level of use was mainly policy, the most common type of health service was institutional, and the major target group was professionals directly involved in clinical practice. The evaluated domains differed between the models and there were also differences in their conceptualization. All the models addressed the domain "Context", especially at the micro level (8/12), followed by the multilevel (7/12). The domains "Outcome" (9/12), "Intervention" (8/12), "Strategies" (7/12), and "Process" (5/12) were frequently addressed, while "Sustainability" was found only in one study, and "Fidelity/Adaptation" was not observed.

Conclusions

The use of models and frameworks for assessing the implementation of CPGs is still incipient. This systematic review may help stakeholders choose or adapt the most appropriate model or framework to assess CPGs implementation based on their specific health context.

Trial registration

PROSPERO (International Prospective Register of Systematic Reviews) registration number: CRD42022335884. Registered on June 7, 2022.

Peer Review reports

Contributions to the literature

Although the number of theoretical approaches has grown in recent years, there are still important gaps to be explored in the use of models and frameworks to assess the implementation of clinical practice guidelines (CPGs). This systematic review aims to contribute knowledge to overcome these gaps.

Despite the great advances in implementation science, evaluating the implementation of CPGs remains a challenge, and models and frameworks could support improvements in this field.

This study demonstrates that the available models and frameworks do not cover all characteristics and domains necessary for a complete evaluation of CPGs implementation.

The presented findings contribute to the field of implementation science, encouraging debate on choices and adaptations of models and frameworks for implementation research and evaluation.

Substantial investments have been made in clinical research and development in recent decades, increasing the medical knowledge base and the availability of health technologies [ 1 ]. The use of clinical practice guidelines (CPGs) has increased worldwide to guide best health practices and to maximize healthcare investments. A CPG can be defined as "any formal statements systematically developed to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances" [ 2 ] and has the potential to improve patient care by promoting interventions of proven benefit and discouraging ineffective interventions. Furthermore, they can promote efficiency in resource allocation and provide support for managers and health professionals in decision-making [ 3 , 4 ].

However, having a quality CPG does not guarantee that the expected health benefits will be obtained. In fact, putting these devices to use still presents a challenge for most health services across distinct levels of government. In addition to the development of guidelines with high methodological rigor, those recommendations need to be available to their users; these recommendations involve the diffusion and dissemination stages, and they need to be used in clinical practice (implemented), which usually requires behavioral changes and appropriate resources and infrastructure. All these stages involve an iterative and complex process called implementation, which is defined as the process of putting new practices within a setting into use [ 5 , 6 ].

Implementation is a cyclical process, and the evaluation is one of its key stages, which allows continuous improvement of CPGs development and implementation strategies. It consists of verifying whether clinical practice is being performed as recommended (process evaluation or formative evaluation) and whether the expected results and impact are being reached (summative evaluation) [ 7 , 8 , 9 ]. Although the importance of the implementation evaluation stage has been recognized, research on how these guidelines are implemented is scarce [ 10 ]. This paper focused on the process of assessing CPGs implementation.

To understand and improve this complex process, implementation science provides a systematic set of principles and methods to integrate research findings and other evidence-based practices into routine practice and improve the quality and effectiveness of health services and care [ 11 ]. The field of implementation science uses theoretical approaches that have varying degrees of specificity based on the current state of knowledge and are structured based on theories, models, and frameworks [ 5 , 12 , 13 ]. A "Model" is defined as "a simplified depiction of a more complex world with relatively precise assumptions about cause and effect", and a "framework" is defined as "a broad set of constructs that organize concepts and data descriptively without specifying causal relationships" [ 9 ]. Although these concepts are distinct, in this paper, their use will be interchangeable, as they are typically like checklists of factors relevant to various aspects of implementation.

There are a variety of theoretical approaches available in implementation science [ 5 , 14 ], which can make choosing the most appropriate challenging [ 5 ]. Some models and frameworks have been categorized as "evaluation models" by providing a structure for evaluating implementation endeavors [ 15 ], even though theoretical approaches from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 13 ]. Two frameworks that can specify implementation aspects that should be evaluated as part of intervention studies are RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) [ 16 ] and PRECEDE-PROCEED (Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development) [ 17 ]. Although the number of theoretical approaches has grown in recent years, the use of models and frameworks to evaluate the implementation of guidelines still seems to be a challenge.

This article aims to provide a complete map of the models and frameworks applied to assess the implementation of CPGs. The aim is also to subside debate and choices on models and frameworks for the research and evaluation of the implementation processes of CPGs and thus to facilitate the continued development of the field of implementation as well as to contribute to healthcare policy and practice.

A systematic review was conducted following the Cochrane methodology [ 18 ], with adaptations to the "selection process" due to the unique nature of this review (details can be found in the respective section). The review protocol was registered in PROSPERO (registration number: CRD42022335884) on June 7, 2022. This report adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [ 19 ] and a completed checklist is provided in Additional File 1.

Eligibility criteria

The SDMO approach (Types of Studies, Types of Data, Types of Methods, Outcomes) [ 20 ] was utilized in this systematic review, outlined as follows:

Types of studies

All types of studies were considered for inclusion, as the assessment of CPG implementation can benefit from a diverse range of study designs, including randomized clinical trials/experimental studies, scale/tool development, systematic reviews, opinion pieces, qualitative studies, peer-reviewed articles, books, reports, and unpublished theses.

Studies were categorized based on their methodological designs, which guided the synthesis, risk of bias assessment, and presentation of results.

Study protocols and conference abstracts were excluded due to insufficient information for this review.

Types of data

Studies that evaluated the implementation of CPGs either independently or as part of a multifaceted intervention.

Guidelines for evaluating CPG implementation.

Inclusion of CPGs related to any context, clinical area, intervention, and patient characteristics.

No restrictions were placed on publication date or language.

Exclusion criteria

General guidelines were excluded, as this review focused on 'models for evaluating clinical practice guidelines implementation' rather than the guidelines themselves.

Studies that focused solely on implementation determinants as barriers and enablers were excluded, as this review aimed to explore comprehensive models/frameworks.

Studies evaluating programs and policies were excluded.

Studies that only assessed implementation strategies (isolated actions) rather than the implementation process itself were excluded.

Studies that focused solely on the impact or results of implementation (summative evaluation) were excluded.

Types of methods

Not applicable.

All potential models or frameworks for assessing the implementation of CPG (evaluation models/frameworks), as well as their characteristics: name; specific objectives; levels of use (clinical, organizational, and policy); health system (public, private, or both); type of health service (community, ambulatorial, hospital, institutional, homecare); domains or outcomes evaluated; type of recommendation evaluated; context; limitations of the model.

Model was defined as "a deliberated simplification of a phenomenon on a specific aspect" [ 21 ].

Framework was defined as "structure, overview outline, system, or plan consisting of various descriptive categories" [ 21 ].

Models or frameworks used solely for the CPG development, dissemination, or implementation phase.

Models/frameworks used solely for assessment processes other than implementation, such as for the development or dissemination phase.

Data sources and literature search

The systematic search was conducted on July 31, 2022 (and updated on May 15, 2023) in the following electronic databases: MEDLINE/PubMed, Centre for Reviews and Dissemination (CRD), the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, Epistemonikos, Global Health, Health Systems Evidence, PDQ-Evidence, PsycINFO, Rx for Change (Canadian Agency for Drugs and Technologies in Health, CADTH), Scopus, Web of Science and Virtual Health Library (VHL). The Google Scholar database was used for the manual selection of studies (first 10 pages).

Additionally, hand searches were performed on the lists of references included in the systematic reviews and citations of the included studies, as well as on the websites of institutions working on CPGs development and implementation: Guidelines International Networks (GIN), National Institute for Health and Care Excellence (NICE; United Kingdom), World Health Organization (WHO), Centers for Disease Control and Prevention (CDC; USA), Institute of Medicine (IOM; USA), Australian Department of Health and Aged Care (ADH), Healthcare Improvement Scotland (SIGN), National Health and Medical Research Council (NHMRC; Australia), Queensland Health, The Joanna Briggs Institute (JBI), Ministry of Health and Social Policy of Spain, Ministry of Health of Brazil and Capes Theses and Dissertations Catalog.

The search strategy combined terms related to "clinical practice guidelines" (practice guidelines, practice guidelines as topic, clinical protocols), "implementation", "assessment" (assessment, evaluation), and "models, framework". The free term "monitoring" was not used because it was regularly related to clinical monitoring and not to implementation monitoring. The search strategies adapted for the electronic databases are presented in an additional file (see Additional file 2).

Study selection process

The results of the literature search from scientific databases, excluding the CRD database, were imported into Mendeley Reference Management software to remove duplicates. They were then transferred to the Rayyan platform ( https://rayyan.qcri.org ) [ 22 ] for the screening process. Initially, studies related to the "assessment of implementation of the CPG" were selected. The titles were first screened independently by two pairs of reviewers (first selection: four reviewers, NM, JB, SS, and JG; update: a pair of reviewers, NM and DG). The title screening was broad, including all potentially relevant studies on CPG and the implementation process. Following that, the abstracts were independently screened by the same group of reviewers. The abstract screening was more focused, specifically selecting studies that addressed CPG and the evaluation of the implementation process. In the next step, full-text articles were reviewed independently by a pair of reviewers (NM, DG) to identify those that explicitly presented "models" or "frameworks" for assessing the implementation of the CPG. Disagreements regarding the eligibility of studies were resolved through discussion and consensus, and by a third reviewer (JB) when necessary. One reviewer (NM) conducted manual searches, and the inclusion of documents was discussed with the other reviewers.

Risk of bias assessment of studies

The selected studies were independently classified and evaluated according to their methodological designs by two investigators (NM and JG). This review employed JBI’s critical appraisal tools to assess the trustworthiness, relevance and results of the included studies [ 23 ] and these tools are presented in additional files (see Additional file 3 and Additional file 4). Disagreements were resolved by consensus or consultation with the other reviewers. Methodological guidelines and noncomparative and before–after studies were not evaluated because JBI does not have specific tools for assessing these types of documents. Although the studies were assessed for quality, they were not excluded on this basis.

Data extraction

The data was independently extracted by two reviewers (NM, DG) using a Microsoft Excel spreadsheet. Discrepancies were discussed and resolved by consensus. The following information was extracted:

Document characteristics : author; year of publication; title; study design; instrument of evaluation; country; guideline context;

Usage context of the models : specific objectives; level of use (clinical, organizational, and policy); type of health service (community, ambulatorial, hospital, institutional); target group (guideline developers, clinicians; health professionals; health-policy decision-makers; health-care organizations; service managers);

Model and framework characteristics : name, domain evaluated, and model limitations.

The set of information to be extracted, shown in the systematic review protocol, was adjusted to improve the organization of the analysis.

The "level of use" refers to the scope of the model used. "Clinical" was considered when the evaluation focused on individual practices, "organizational" when practices were within a health service institution, and "policy" when the evaluation was more systemic and covered different health services or institutions.

The "type of health service" indicated the category of health service where the model/framework was used (or can be used) to assess the implementation of the CPG, related to the complexity of healthcare. "Community" is related to primary health care; "ambulatorial" is related to secondary health care; "hospital" is related to tertiary health care; and "institutional" represented models/frameworks not specific to a particular type of health service.

The "target group" included stakeholders related to the use of the model/framework for evaluating the implementation of the CPG, such as clinicians, health professionals, guideline developers, health policy-makers, health organizations, and service managers.

The category "health system" (public, private, or both) mentioned in the systematic review protocol was not found in the literature obtained and was removed as an extraction variable. Similarly, the variables "type of recommendation evaluated" and "context" were grouped because the same information was included in the "guideline context" section of the study.

Some selected documents presented models or frameworks recognized by the scientific field, including some that were validated. However, some studies adapted the model to this context. Therefore, the domain analysis covered all models or frameworks domains evaluated by (or suggested for evaluation by) the document analyzed.

Data analysis and synthesis

The results were tabulated using narrative synthesis with an aggregative approach, without meta-analysis, aiming to summarize the documents descriptively for the organization, description, interpretation and explanation of the study findings [ 24 , 25 ].

The model/framework domains evaluated in each document were studied according to Nilsen et al.’s constructs: "strategies", "context", "outcomes", "fidelity", "adaptation" and "sustainability". For this study, "strategies" were described as structured and planned initiatives used to enhance the implementation of clinical practice [ 26 ].

The definition of "context" varies in the literature. Despite that, this review considered it as the set of circumstances or factors surrounding a particular implementation effort, such as organizational support, financial resources, social relations and support, leadership, and organizational culture [ 26 , 27 ]. The domain "context" was subdivided according to the level of health care into "micro" (individual perspective), "meso" (organizational perspective), "macro" (systemic perspective), and "multiple" (when there is an issue involving more than one level of health care).

The "outcomes" domain was related to the results of the implementation process (unlike clinical outcomes) and was stratified according to the following constructs: acceptability, appropriateness, feasibility, adoption, cost, and penetration. All these concepts align with the definitions of Proctor et al. (2011), although we decided to separate "fidelity" and "sustainability" as independent domains similar to Nilsen [ 26 , 28 ].

"Fidelity" and "adaptation" were considered the same domain, as they are complementary pieces of the same issue. In this study, implementation fidelity refers to how closely guidelines are followed as intended by their developers or designers. On the other hand, adaptation involves making changes to the content or delivery of a guideline to better fit the needs of a specific context. The "sustainability" domain was defined as evaluations about the continuation or permanence over time of the CPG implementation.

Additionally, the domain "process" was utilized to address issues related to the implementation process itself, rather than focusing solely on the outcomes of the implementation process, as done by Wang et al. [ 14 ]. Furthermore, the "intervention" domain was introduced to distinguish aspects related to the CPG characteristics that can impact its implementation, such as the complexity of the recommendation.

A subgroup analysis was performed with models and frameworks categorized based on their levels of use (clinical, organizational, and policy) and the type of health service (community, ambulatorial, hospital, institutional) associated with the CPG. The goal is to assist stakeholders (politicians, clinicians, researchers, or others) in selecting the most suitable model for evaluating CPG implementation based on their specific health context.

Search results

Database searches yielded 26,011 studies, of which 107 full texts were reviewed. During the full-text review, 99 articles were excluded: 41 studies did not mention a model or framework for assessing the implementation of the CPG, 31 studies evaluated only implementation strategies (isolated actions) rather than the implementation process itself, and 27 articles were not related to the implementation assessment. Therefore, eight studies were included in the data analysis. The updated search did not reveal additional relevant studies. The main reason for study exclusion was that they did not use models or frameworks to assess CPG implementation. Additionally, four methodological guidelines were included from the manual search (Fig.  1 ).

PRISMA diagram. Acronyms: ADH—Australian Department of Health, CINAHL—Cumulative Index to Nursing and Allied Health Literature, CDC—Centers for Disease Control and Prevention, CRD—Centre for Reviews and Dissemination, GIN—Guidelines International Networks, HSE—Health Systems Evidence, IOM—Institute of Medicine, JBI—The Joanna Briggs Institute, MHB—Ministry of Health of Brazil, NICE—National Institute for Health and Care Excellence, NHMRC—National Health and Medical Research Council, MSPS – Ministerio de Sanidad Y Política Social (Spain), SIGN—Scottish Intercollegiate Guidelines Network, VHL – Virtual Health Library, WHO—World Health Organization. Legend: Reason A –The study evaluated only implementation strategies (isolated actions) rather than the implementation process itself. Reason B – The study did not mention a model or framework for assessing the implementation of the intervention. Reason C – The study was not related to the implementation assessment. Adapted from Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. https://doi.org/10.1136/bmj.n71 . For more information, visit:

According to the JBI’s critical appraisal tools, the overall assessment of the studies indicates their acceptance for the systematic review.

The cross-sectional studies lacked clear information regarding "confounding factors" or "strategies to address confounding factors". This was understandable given the nature of the study, where such details are not typically included. However, the reviewers did not find this lack of information to be critical, allowing the studies to be included in the review. The results of this methodological quality assessment can be found in an additional file (see Additional file 5).

In the qualitative studies, there was some ambiguity regarding the questions: "Is there a statement locating the researcher culturally or theoretically?" and "Is the influence of the researcher on the research, and vice versa, addressed?". However, the reviewers decided to include the studies and deemed the methodological quality sufficient for the analysis in this article, based on the other information analyzed. The results of this methodological quality assessment can be found in an additional file (see Additional file 6).

Documents characteristics (Table  1 )

The documents were directed to several continents: Australia/Oceania (4/12) [ 31 , 33 , 36 , 37 ], North America (4/12 [ 30 , 32 , 38 , 39 ], Europe (2/12 [ 29 , 35 ] and Asia (2/12) [ 34 , 40 ]. The types of documents were classified as cross-sectional studies (4/12) [ 29 , 32 , 34 , 38 ], methodological guidelines (4/12) [ 33 , 35 , 36 , 37 ], mixed methods studies (3/12) [ 30 , 31 , 39 ] or noncomparative studies (1/12) [ 40 ]. In terms of the instrument of evaluation, most of the documents used a survey/questionnaire (6/12) [ 29 , 30 , 31 , 32 , 34 , 38 ], while three (3/12) used qualitative instruments (interviews, group discussions) [ 30 , 31 , 39 ], one used a checklist [ 37 ], one used an audit [ 33 ] and three (3/12) did not define a specific instrument to measure [ 35 , 36 , 40 ].

Considering the clinical areas covered, most studies evaluated the implementation of nonspecific (general) clinical areas [ 29 , 33 , 35 , 36 , 37 , 40 ]. However, some studies focused on specific clinical contexts, such as mental health [ 32 , 38 ], oncology [ 39 ], fall prevention [ 31 ], spinal cord injury [ 30 ], and sexually transmitted infections [ 34 ].

Usage context of the models (Table  1 )

Specific objectives.

All the studies highlighted the purpose of guiding the process of evaluating the implementation of CPGs, even if they evaluated CPGs from generic or different clinical areas.

Levels of use

The most common level of use of the models/frameworks identified to assess the implementation of CPGs was policy (6/12) [ 33 , 35 , 36 , 37 , 39 , 40 ]. In this level, the model is used in a systematic way to evaluate all the processes involved in CPGs implementation and is primarily related to methodological guidelines. This was followed by the organizational level of use (5/12) [ 30 , 31 , 32 , 38 , 39 ], where the model is used to evaluate the implementation of CPGs in a specific institution, considering its specific environment. Finally, the clinical level of use (2/12) [ 29 , 34 ] focuses on individual practice and the factors that can influence the implementation of CPGs by professionals.

Type of health service

Institutional services were predominant (5/12) [ 33 , 35 , 36 , 37 , 40 ] and included methodological guidelines and a study of model development and validation. Hospitals were the second most common type of health service (4/12) [ 29 , 30 , 31 , 34 ], followed by ambulatorial (2/12) [ 32 , 34 ] and community health services (1/12) [ 32 ]. Two studies did not specify which type of health service the assessment addressed [ 38 , 39 ].

Target group

The focus of the target group was professionals directly involved in clinical practice (6/12) [ 29 , 31 , 32 , 34 , 38 , 40 ], namely, health professionals and clinicians. Other less related stakeholders included guideline developers (2/12) [ 39 , 40 ], health policy decision makers (1/12) [ 39 ], and healthcare organizations (1/12) [ 39 ]. The target group was not defined in the methodological guidelines, although all the mentioned stakeholders could be related to these documents.

Model and framework characteristics

Models and frameworks for assessing the implementation of cpgs.

The Consolidated Framework for Implementation Research (CFIR) [ 31 , 38 ] and the Promoting Action on Research Implementation in Health Systems (PARiHS) framework [ 29 , 30 ] were the most commonly employed frameworks within the selected documents. The other models mentioned were: Goal commitment and implementation of practice guidelines framework [ 32 ]; Guideline to identify key indicators [ 35 ]; Guideline implementation checklist [ 37 ]; Guideline implementation evaluation tool [ 40 ]; JBI Implementation Framework [ 33 ]; Reach, effectiveness, adoption, implementation and maintenance (RE-AIM) framework [ 34 ]; The Guideline Implementability Framework [ 39 ] and an unnamed model [ 36 ].

Domains evaluated

The number of domains evaluated (or suggested for evaluation) by the documents varied between three and five, with the majority focusing on three domains. All the models addressed the domain "context", with a particular emphasis on the micro level of the health care context (8/12) [ 29 , 31 , 34 , 35 , 36 , 37 , 38 , 39 ], followed by the multilevel (7/12) [ 29 , 31 , 32 , 33 , 38 , 39 , 40 ], meso level (4/12) [ 30 , 35 , 39 , 40 ] and macro level (2/12) [ 37 , 39 ]. The "Outcome" domain was evaluated in nine models. Within this domain, the most frequently evaluated subdomain was "adoption" (6/12) [ 29 , 32 , 34 , 35 , 36 , 37 ], followed by "acceptability" (4/12) [ 30 , 32 , 35 , 39 ], "appropriateness" (3/12) [ 32 , 34 , 36 ], "feasibility" (3/12) [ 29 , 32 , 36 ], "cost" (1/12) [ 35 ] and "penetration" (1/12) [ 34 ]. Regarding the other domains, "Intervention" (8/12) [ 29 , 31 , 34 , 35 , 36 , 38 , 39 , 40 ], "Strategies" (7/12) [ 29 , 30 , 33 , 35 , 36 , 37 , 40 ] and "Process" (5/12) [ 29 , 31 , 32 , 33 , 38 ] were frequently addressed in the models, while "Sustainability" (1/12) [ 34 ] was only found in one model, and "Fidelity/Adaptation" was not observed. The domains presented by the models and frameworks and evaluated in the documents are shown in Table  2 .

Limitations of the models

Only two documents mentioned limitations in the use of the model or frameworks. These two studies reported limitations in the use of CFIR: "is complex and cumbersome and requires tailoring of the key variables to the specific context", and "this framework should be supplemented with other important factors and local features to achieve a sound basis for the planning and realization of an ongoing project" [ 31 , 38 ]. Limitations in the use of other models or frameworks are not reported.

Subgroup analysis

Following the subgroup analysis (Table  3 ), five different models/frameworks were utilized at the policy level by institutional health services. These included the Guideline Implementation Evaluation Tool [ 40 ], the NHMRC tool (model name not defined) [ 36 ], the JBI Implementation Framework + GRiP [ 33 ], Guideline to identify key indicators [ 35 ], and the Guideline implementation checklist [ 37 ]. Additionally, the "Guideline Implementability Framework" [ 39 ] was implemented at the policy level without restrictions based on the type of health service. Regarding the organizational level, the models used varied depending on the type of service. The "Goal commitment and implementation of practice guidelines framework" [ 32 ] was applied in community and ambulatory health services, while "PARiHS" [ 29 , 30 ] and "CFIR" [ 31 , 38 ] were utilized in hospitals. In contexts where the type of health service was not defined, "CFIR" [ 31 , 38 ] and "The Guideline Implementability Framework" [ 39 ] were employed. Lastly, at the clinical level, "RE-AIM" [ 34 ] was utilized in ambulatory and hospital services, and PARiHS [ 29 , 30 ] was specifically used in hospital services.

Key findings

This systematic review identified 10 models/ frameworks used to assess the implementation of CPGs in various health system contexts. These documents shared similar objectives in utilizing models and frameworks for assessment. The primary level of use was policy, the most common type of health service was institutional, and the main target group of the documents was professionals directly involved in clinical practice. The models and frameworks presented varied analytical domains, with sometimes divergent concepts used in these domains. This study is innovative in its emphasis on the evaluation stage of CPG implementation and in summarizing aspects and domains aimed at the practical application of these models.

The small number of documents contrasts with studies that present an extensive range of models and frameworks available in implementation science. The findings suggest that the use of models and frameworks to evaluate the implementation of CPGs is still in its early stages. Among the selected documents, there was a predominance of cross-sectional studies and methodological guidelines, which strongly influenced how the implementation evaluation was conducted. This was primarily done through surveys/questionnaires, qualitative methods (interviews, group discussions), and non-specific measurement instruments. Regarding the subject areas evaluated, most studies focused on a general clinical area, while others explored different clinical areas. This suggests that the evaluation of CPG implementation has been carried out in various contexts.

The models were chosen independently of the categories proposed in the literature, with their usage categorized for purposes other than implementation evaluation, as is the case with CFIR and PARiHS. This practice was described by Nilsen et al. who suggested that models and frameworks from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 14 , 15 , 42 , 43 ].

The results highlight the increased use of models and frameworks in evaluation processes at the policy level and institutional environments, followed by the organizational level in hospital settings. This finding contradicts a review that reported the policy level as an area that was not as well studied [ 44 ]. The use of different models at the institutional level is also emphasized in the subgroup analysis. This may suggest that the greater the impact (social, financial/economic, and organizational) of implementing CPGs, the greater the interest and need to establish well-defined and robust processes. In this context, the evaluation stage stands out as crucial, and the investment of resources and efforts to structure this stage becomes even more advantageous [ 10 , 45 ]. Two studies (16,7%) evaluated the implementation of CPGs at the individual level (clinical level). These studies stand out for their potential to analyze variations in clinical practice in greater depth.

In contrast to the level of use and type of health service most strongly indicated in the documents, with systemic approaches, the target group most observed was professionals directly involved in clinical practice. This suggests an emphasis on evaluating individual behaviors. This same emphasis is observed in the analysis of the models, in which there is a predominance of evaluating the micro level of the health context and the "adoption" subdomain, in contrast with the sub-use of domains such as "cost" and "process". Cassetti et al. observed the same phenomenon in their review, in which studies evaluating the implementation of CPGs mainly adopted a behavioral change approach to tackle those issues, without considering the influence of wider social determinants of health [ 10 ]. However, the literature widely reiterates that multiple factors impact the implementation of CPGs, and different actions are required to make them effective [ 6 , 46 , 47 ]. As a result, there is enormous potential for the development and adaptation of models and frameworks aimed at more systemic evaluation processes that consider institutional and organizational aspects.

In analyzing the model domains, most models focused on evaluating only some aspects of implementation (three domains). All models evaluated the "context", highlighting its significant influence on implementation [ 9 , 26 ]. Context is an essential effect modifier for providing research evidence to guide decisions on implementation strategies [ 48 ]. Contextualizing a guideline involves integrating research or other evidence into a specific circumstance [ 49 ]. The analysis of this domain was adjusted to include all possible contextual aspects, even if they were initially allocated to other domains. Some contextual aspects presented by the models vary in comprehensiveness, such as the assessment of the "timing and nature of stakeholder engagement" [ 39 ], which includes individual engagement by healthcare professionals and organizational involvement in CPG implementation. While the importance of context is universally recognized, its conceptualization and interpretation differ across studies and models. This divergence is also evident in other domains, consistent with existing literature [ 14 ]. Efforts to address this conceptual divergence in implementation science are ongoing, but further research and development are needed in this field [ 26 ].

The main subdomain evaluated was "adoption" within the outcome domain. This may be attributed to the ease of accessing information on the adoption of the CPG, whether through computerized system records, patient records, or self-reports from healthcare professionals or patients themselves. The "acceptability" subdomain pertains to the perception among implementation stakeholders that a particular CPG is agreeable, palatable or satisfactory. On the other hand, "appropriateness" encompasses the perceived fit, relevance or compatibility of the CPG for a specific practice setting, provider, or consumer, or its perceived fit to address a particular issue or problem [ 26 ]. Both subdomains are subjective and rely on stakeholders' interpretations and perceptions of the issue being analyzed, making them susceptible to reporting biases. Moreover, obtaining this information requires direct consultation with stakeholders, which can be challenging for some evaluation processes, particularly in institutional contexts.

The evaluation of the subdomains "feasibility" (the extent to which a CPG can be successfully used or carried out within a given agency or setting), "cost" (the cost impact of an implementation effort), and "penetration" (the extent to which an intervention or treatment is integrated within a service setting and its subsystems) [ 26 ] was rarely observed in the documents. This may be related to the greater complexity of obtaining information on these aspects, as they involve cross-cutting and multifactorial issues. In other words, it would be difficult to gather this information during evaluations with health practitioners as the target group. This highlights the need for evaluation processes of CPGs implementation involving multiple stakeholders, even if the evaluation is adjusted for each of these groups.

Although the models do not establish the "intervention" domain, we thought it pertinent in this study to delimit the issues that are intrinsic to CPGs, such as methodological quality or clarity in establishing recommendations. These issues were quite common in the models evaluated but were considered in other domains (e.g., in "context"). Studies have reported the importance of evaluating these issues intrinsic to CPGs [ 47 , 50 ] and their influence on the implementation process [ 51 ].

The models explicitly present the "strategies" domain, and its evaluation was usually included in the assessments. This is likely due to the expansion of scientific and practical studies in implementation science that involve theoretical approaches to the development and application of interventions to improve the implementation of evidence-based practices. However, these interventions themselves are not guaranteed to be effective, as reported in a previous review that showed unclear results indicating that the strategies had affected successful implementation [ 52 ]. Furthermore, model domains end up not covering all the complexity surrounding the strategies and their development and implementation process. For example, the ‘Guideline implementation evaluation tool’ evaluates whether guideline developers have designed and provided auxiliary tools to promote the implementation of guidelines [ 40 ], but this does not mean that these tools would work as expected.

The "process" domain was identified in the CFIR [ 31 , 38 ], JBI/GRiP [ 33 ], and PARiHS [ 29 ] frameworks. While it may be included in other domains of analysis, its distinct separation is crucial for defining operational issues when assessing the implementation process, such as determining if and how the use of the mentioned CPG was evaluated [ 3 ]. Despite its presence in multiple models, there is still limited detail in the evaluation guidelines, which makes it difficult to operationalize the concept. Further research is needed to better define the "process" domain and its connections and boundaries with other domains.

The domain of "sustainability" was only observed in the RE-AIM framework, which is categorized as an evaluation framework [ 34 ]. In its acronym, the letter M stands for "maintenance" and corresponds to the assessment of whether the user maintains use, typically longer than 6 months. The presence of this domain highlights the need for continuous evaluation of CPGs implementation in the short, medium, and long term. Although the RE-AIM framework includes this domain, it was not used in the questionnaire developed in the study. One probable reason is that the evaluation of CPGs implementation is still conducted on a one-off basis and not as a continuous improvement process. Considering that changes in clinical practices are inherent over time, evaluating and monitoring changes throughout the duration of the CPG could be an important strategy for ensuring its implementation. This is an emerging field that requires additional investment and research.

The "Fidelity/Adaptation" domain was not observed in the models. These emerging concepts involve the extent to which a CPG is being conducted exactly as planned or whether it is undergoing adjustments and adaptations. Whether or not there is fidelity or adaptation in the implementation of CPGs does not presuppose greater or lesser effectiveness; after all, some adaptations may be necessary to implement general CPGs in specific contexts. The absence of this domain in all the models and frameworks may suggest that they are not relevant aspects for evaluating implementation or that there is a lack of knowledge of these complex concepts. This may suggest difficulty in expressing concepts in specific evaluative questions. However, further studies are warranted to determine the comprehensiveness of these concepts.

It is important to note the customization of the domains of analysis, with some domains presented in the models not being evaluated in the studies, while others were complementarily included. This can be seen in Jeong et al. [ 34 ], where the "intervention" domain in the evaluation with the RE-AIM framework reinforced the aim of theoretical approaches such as guiding the process and not determining norms. Despite this, few limitations were reported for the models, suggesting that the use of models in these studies reflects the application of these models to defined contexts without a deep critical analysis of their domains.

Limitations

This review has several limitations. First, only a few studies and methodological guidelines that explicitly present models and frameworks for assessing the implementation of CPGs have been found. This means that few alternative models could be analyzed and presented in this review. Second, this review adopted multiple analytical categories (e.g., level of use, health service, target group, and domains evaluated), whose terminology has varied enormously in the studies and documents selected, especially for the "domains evaluated" category. This difficulty in harmonizing the taxonomy used in the area has already been reported [ 26 ] and has significant potential to confuse. For this reason, studies and initiatives are needed to align understandings between concepts and, as far as possible, standardize them. Third, in some studies/documents, the information extracted was not clear about the analytical category. This required an in-depth interpretative process of the studies, which was conducted in pairs to avoid inappropriate interpretations.

Implications

This study contributes to the literature and clinical practice management by describing models and frameworks specifically used to assess the implementation of CPGs based on their level of use, type of health service, target group related to the CPG, and the evaluated domains. While there are existing reviews on the theories, frameworks, and models used in implementation science, this review addresses aspects not previously covered in the literature. This valuable information can assist stakeholders (such as politicians, clinicians, researchers, etc.) in selecting or adapting the most appropriate model to assess CPG implementation based on their health context. Furthermore, this study is expected to guide future research on developing or adapting models to assess the implementation of CPGs in various contexts.

The use of models and frameworks to evaluate the implementation remains a challenge. Studies should clearly state the level of model use, the type of health service evaluated, and the target group. The domains evaluated in these models may need adaptation to specific contexts. Nevertheless, utilizing models to assess CPGs implementation is crucial as they can guide a more thorough and systematic evaluation process, aiding in the continuous improvement of CPGs implementation. The findings of this systematic review offer valuable insights for stakeholders in selecting or adjusting models and frameworks for CPGs evaluation, supporting future theoretical advancements and research.

Availability of data and materials

Abbreviations.

Australian Department of Health and Aged Care

Canadian Agency for Drugs and Technologies in Health

Centers for Disease Control and

Consolidated Framework for Implementation Research

Cumulative Index to Nursing and Allied Health Literature

Clinical practice guideline

Centre for Reviews and Dissemination

Guidelines International Networks

Getting Research into Practice

Health Systems Evidence

Institute of Medicine

The Joanna Briggs Institute

Ministry of Health of Brazil

Ministerio de Sanidad y Política Social

National Health and Medical Research Council

National Institute for Health and Care Excellence

Promoting action on research implementation in health systems framework

Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

International Prospective Register of Systematic Reviews

Reach, effectiveness, adoption, implementation, and maintenance framework

Healthcare Improvement Scotland

United States of America

Virtual Health Library

World Health Organization

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This study is supported by the Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF). FAPDF Award Term (TOA) nº 44/2024—FAPDF/SUCTI/COOBE (SEI/GDF – Process 00193–00000404/2024–22). The content in this article is solely the responsibility of the authors and does not necessarily represent the official views of the FAPDF.

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NFM and JOMB conceived the idea and the protocol for this study. NFM conducted the literature search. NFM, SNS, JMG and JOMB conducted the data collection with advice and consensus gathering from JOMB. The NFM and JMG assessed the quality of the studies. NFM and DFG conducted the data extraction. NFM performed the analysis and synthesis of the results with advice and consensus gathering from JOMB. NFM drafted the manuscript. JOMB critically revised the first version of the manuscript. All the authors revised and approved the submitted version.

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Supplementary Information

13012_2024_1389_moesm1_esm.docx.

Additional file 1: PRISMA checklist. Description of data: Completed PRISMA checklist used for reporting the results of this systematic review.

Additional file 2: Literature search. Description of data: The search strategies adapted for the electronic databases.

13012_2024_1389_moesm3_esm.doc.

Additional file 3: JBI’s critical appraisal tools for cross-sectional studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for cross-sectional studies.

13012_2024_1389_MOESM4_ESM.doc

Additional file 4: JBI’s critical appraisal tools for qualitative studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for qualitative studies.

13012_2024_1389_MOESM5_ESM.doc

Additional file 5: Methodological quality assessment results for cross-sectional studies. Description of data: Methodological quality assessment results for cross-sectional studies using JBI’s critical appraisal tools.

13012_2024_1389_MOESM6_ESM.doc

Additional file 6: Methodological quality assessment results for the qualitative studies. Description of data: Methodological quality assessment results for qualitative studies using JBI’s critical appraisal tools.

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Freitas de Mello, N., Nascimento Silva, S., Gomes, D.F. et al. Models and frameworks for assessing the implementation of clinical practice guidelines: a systematic review. Implementation Sci 19 , 59 (2024). https://doi.org/10.1186/s13012-024-01389-1

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The Ultimate Guide to SEO Keyword Research

Table of Contents

What is SEO Keyword Research?

Imagine you own a bakery. Now what would you sell? You wouldn’t just bake whatever you like, right? You would make what your customers want. Similarly, SEO keyword research is just like figuring out what your online customers are craving. 

It’s the process of finding and analyzing the words and phrases people use when searching for a product, service, brand, or any kind of information online, often for search engine optimization (SEO)or general marketing. These are called keywords. By understanding what people are searching for, you can create content and put it out there on different relevant platforms that satisfy their needs and help your website rank higher in search engine results.

Importance of Keyword Research in SEO

Keyword Research is like the foundation for a successful SEO strategy . It is the first step to conducting any kind of SEO campaign. It helps you find keywords that will work best for your content, and it will provide you with valuable insights into your target audience about what exactly are they looking for. 

By researching and choosing the most relevant target keywords, you increase the chances of ranking well in search engines for that specific topic. High search engine rankings bring more traffic to your website, which in turn helps you promote your products or services online.

How to find the right Keywords

Choosing the right keywords is one of the most important steps in successful search engine optimization. In fact, the reason you’re reading this article right now is because of the carefully chosen keywords that led you here. If you choose the wrong keywords, you will only gain low-value traffic or worse- NONE AT ALL! 

Here are a few ways to get started with selecting the right keywords:

• Keyword Research Tools: Tools like Google Keyword Planner, SEMRush, and Ahrefs can help you find popular keywords and refine your search. Keywords with higher search volumes generally have better traffic potential.
• Competitor Analysis: Check what keywords your competitors are using. You might find untapped opportunities. In SEMRush , entering your domain name into their Keyword Gap tool helps analyze your competitors’ keywords, revealing ‘Missing’ and ‘Weak’ keywords that may not help you rank.
• Search Intent: Understand why people search for specific keywords. Are they looking to buy something, learn something, or find a specific location? This will help shape your content strategy and evaluate the business value of the keyword.

Remember, finding the right keywords is an ongoing journey. It involves understanding your target audience, staying current with trends, and continually refining your keyword optimization strategies.

Types of Keywords

According to the latest report, the average click-through rate of Google Search for most industries has increased by 5% since 2023. So, optimizing for the correct keywords does make a difference and if implemented effectively, your web pages or content can rank highly in the search engine results. For this, we need to understand the types of keywords. 

   Short-tail Keywords

Short-tail keywords are short, general phrases with high search volume, but also high competition. For example, “shoes,” “digital camera,” or “SEO.” While they can attract a lot of traffic, ranking for these terms is often challenging.

   Long Tail Keywords

Long-tail keywords are more specific phrases with lower search volume but less competition. For instance, “red high heels size 8,” “best DSLR camera for beginners,” or “local SEO services in New York.” They often convert better because people using long-tail keywords are closer to making a purchase or finding a specific solution.

   Related Keywords

These are keywords that are similar in meaning to your main keywords. For example, if your main keyword is “SEO,” related keywords could be “search engine optimization,” “keyword research,” or “backlinks.”

Keyword Research Process Step-by-Step

Now that you have a little understanding of the world of Keywords and the importance of SEO, let’s see the process of doing thorough keyword research .

• Brainstorm: Start by identifying your niche and proceed to list words and phrases related to your business or brand. What products or services do you offer? What problems do you solve? Sit and Brainstorm and make a list of words that can be your potential keywords. 
• Use Keyword Research Tools: Tools like SEMRush, Ahrefs, and Google Keyword Planner can provide you with data on search volume, keyword difficulty, and related keywords. These tools help you discover variations and long-tail keywords that you might not have considered.

For example, Entering “eco-friendly products” into SEMRush might give you suggestions like “best eco-friendly household products,” “organic cleaning supplies,” or “reusable kitchen items.”

• Generate Seed Keyword: Seed keywords are basic broad terms related to your topic. These broad terms are similar to short-tail keywords but are specifically used for keyword research. With just one well-chosen seed keyword, you can unlock a treasure trove of related keywords, helping you fine-tune your search engine optimization and keyword optimization efforts.

For example, if you search for “best skincare brands,” this seed keyword will open the door to a variety of related keywords. You’ll find pages featuring different skincare products and brands, plus top-rated products tailored to specific demographics—all perfect for optimizing your SEO strategy and avoiding keyword cannibalization.

• Analyzing the Strength of Keywords: When you use a keyword planning tools- paid or free- you can analyze the keywords by following these steps:
• The search volume of the keyword to see how many people are actually searching for that particular keyword.
• The realistic ranking of the keyword to check out the competitiveness.
• Does the keyword align with the content or the product you are offering and what exactly do people search for when they type this word on the search engines?
• Refine your Keyword List: Striking the right balance between search volume and competition is crucial in keyword optimization. Not every keyword will carry the same value, and some will have a greater impact on your SEO strategy than others. Refining your keywords is essential to focus on those that will truly drive results.
• Organize Keywords: Once you are done refining, the next step is to organize keywords into categories or themes that align with the different parts of your content. Make sure to prioritize keywords that are relevant to your brand, product, and TG. 
• Implement Keywords: The main job is to implement those keywords into content that will help you gain traffic to your website. Ensure that your primary keywords are placed strategically on parts such as the title, headings, meta descriptions, and body content. Do not overuse them or make them look natural to maintain the readability of your content. It shouldn’t be forced. 
• Monitor your Strategy: If you notice that “eco-friendly kitchen products” aren’t performing as expected, you might want to take a detour and explore related keywords like “biodegradable kitchen products” or “reusable kitchen utensils”, or any other keywords that are relevant to the topic. We often can forget that keyword research is not a one-time ultimate task. It requires consistent monitoring and adjustments. You have tools at your disperse like Google Analytics, SemRush, etc. 

In 2023, it’s estimated that 71% of businesses worldwide have a website, and over the past five years, 83% of small businesses have ventured into online sales. Remarkably, 65% of these businesses now generate up to half of their revenue online. The power of effective keyword optimization has been a game-changer in attracting audiences to brand websites, highlighting the importance of using the right keywords for search engine optimization.

Keyword Research Tools for SEO

When used effectively, the best keyword research tools can transform and streamline your workflow. The research tools are like your digital assistant that helps in finding the relevant keywords to attract your TG. They not only make it easier to identify the right keywords to target but also provide the crucial data you need to achieve higher rankings.

  Google Keyword Planner

While primarily designed for advertisers, Google Keyword Planner offers free insights for SEO. It provides search volume estimates for keywords, helping you understand how popular a specific search term is. However, the data can be approximate, and the tool might not suggest as many keywords as paid options.

• Keyword discovery: Generates keyword ideas based on your seed keywords or website.
• Search volume data: Provides estimates of monthly search volume for specific keywords.
• Competition analysis: Offers insights into the competitiveness of keywords.

   Google Search Console

Although not a dedicated keyword research tool, Google Search Console offers invaluable data on how people find your website. You can see which search terms drive traffic to your site, helping you identify potential keywords to target. However, it doesn’t provide search volume data for keywords you haven’t ranked for.

• Keyword identification: Reveals the search terms people use to find your site.
• Performance tracking: Helps you understand which keywords drive traffic and clicks.
• Error analysis: Identifies technical issues affecting your website’s visibility.

   Google Trends

Google Trends reveals the popularity of search terms over time. It’s useful for identifying trending topics and seasonal patterns. However, it doesn’t provide search volume data in the same way as other tools.

• Trend identification: Helps spot emerging trends and seasonal fluctuations.
• Keyword comparison: Compares the popularity of different keywords.
• Geographic insights: Reveals regional search patterns.

   Ubersuggest

Ubersuggest is a free tool that offers a good balance of features. It provides keyword suggestions, search volume estimates, and basic competitor analysis. While it’s a helpful starting point, its data might not be as comprehensive as paid options.

• Keyword suggestions: Generates a list of keyword ideas.
• Search volume estimates: Provides approximate search volume data.
• Competitor analysis: Offers a basic overview of competitor keywords.

SEMRush is a powerful SEO tool with a wide range of features, including in-depth keyword research. It offers detailed metrics such as search volume, keyword difficulty, and competition analysis. You can also discover related keywords and identify opportunities based on your competitors’ keyword strategies. However, it’s a paid tool with different pricing plans.

• Keyword discovery: Uncovers a vast number of keyword ideas.
• Keyword difficulty: Estimates the competition for specific keywords.
• Search volume data: Provides accurate search volume estimates.
• SERP analysis: Analyzes search engine results pages to understand competition.
• Backlink analysis: Identifies opportunities to improve your website’s authority.

Ahrefs is mostly known for its backlink analysis, but recently they have introduced a new ‘Keyword Explorer’ tool and it is an amazing addition. 

• Keyword explorer: Offers in-depth keyword research with various metrics.
• Keyword difficulty: Estimates the competitiveness of keywords.
• SERP analysis: Provides detailed information about top-ranking pages.
• Backlink analysis: Helps you identify link-building opportunities.

Combining multiple tools can provide a more comprehensive view of the keyword landscape. By utilizing these tools effectively, you can:

• Discover relevant keywords aligned with your target audience.
• Assess keyword difficulty to prioritize your efforts.
• Track keyword performance over time.
• Identify opportunities to outrank competitors.
• Make data-driven decisions for your SEO strategy.

Mastering SEO keyword research is akin to discovering a treasure chest of online visibility. By comprehending what your target audience is searching for and utilizing the appropriate tools, you can greatly enhance your website’s ranking and draw in more organic traffic. By merging strategic keyword selection with high-quality content, you will be well on your way to accomplishing your SEO goals. Keep up to date with the industry trends, monitor your competitors, and consistently analyze your keyword performance.

Frequently Asked Questions

1) What is keyword research in SEO?

Keyword research is the process of finding and analyzing words and phrases people use to search for information online. It helps you understand your target audience and optimize your website content for search engines.

2) What are the 4 types of keywords in SEO?

• Short-tail keywords: Broad, general terms with high search volume and competition.
• Long-tail keywords: More specific phrases with lower search volume but higher conversion potential.
• Related keywords: Terms similar in meaning to your main keywords.
• Informational keywords: Keywords that indicate users are seeking information.

3) How do I list SEO keywords?

• Start by brainstorming keywords related to your business. 
• Use keyword research tools to expand your list and identify relevant long-tail keywords. 
• Organize your keywords into thematic groups to help with content planning.

4) How do SEO keywords work?

SEO keywords work by helping search engines understand the content of your website. When someone searches for a specific keyword, search engines try to match the query with relevant web pages. By using relevant keywords in your content, you increase your chances of ranking higher in search results.

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6 steps in fact-checking AI-generated content

Generative ai tools are now prevalent, yet the extent of their accuracy isn't always clear. users should question an ai's outputs and verify them before accepting them as fact..

• Cameron Hashemi-Pour, Site Editor

Information disseminated online is increasingly created with the help of artificial intelligence, but such tools are far from perfect.

Earlier in 2024, Google Chrome users reported the search engine's AI overview provided them with misleading information -- such as telling them to use glue to keep cheese from sliding off pizza and eat one rock per day. This is known as an AI hallucination .

In addition to text, generative AI tools can produce audio, video and imagery. This AI-generated content can be used in research outlines, social media posts, product descriptions, blog posts and email content -- and all of it should be scrutinized. When used incorrectly, AI can mislead the public -- as with the Google example -- compromise data privacy, create biased or discriminatory content and further erode public trust in new technologies.

Six steps to fact-check AI-generated content

While everyone should verify information they find on the internet, it's even more important for content creators who use AI content generators -- such as OpenAI's ChatGPT and Google's Gemini -- for assistance. Double-checking AI outputs against credible sources can prevent the spread of misinformation and disinformation .

There are multiple steps involved in fact-checking AI-generated content, including the following:

1. Research key points to separate fact from fiction

Even if the content generator appears to have provided well-written and accurate information, users should be conscientious of false information . Make a list of key points in the AI's response and fact-check each one using credible sources. This includes the following information:

• Names and titles.
• Quotations.
• Company names.
• Any numbers -- including dates, statistics and ages.
• Sequence of events.

This is worth the time and effort, as predicating an entire article on information that turns out to be wrong can be detrimental to readers and compromise the writer's credibility.

2. Examine the plausibility of suspicious claims

Keep an eye out for outlandish claims in AI-generated text and audio outputs, as well as visual elements in images and videos that seem out of place. While verifying each claim or image an AI tool produces is important, if something immediately stands out as implausible, users might want to think about discontinuing use of that tool. For example, if a tool asserts there are a billion people living in any given European country and attempts to back it up with fabricated claims, a human can determine the tool is unreliable without research.

3. Validate AI outputs in depth using multiple sources

Sources used to train the AI tool data sets likely won't be quoted directly in the AI's outputs. Since it might be hard to pinpoint the original sources, similar sources can be used to verify the information. And multiple sources are encouraged, including the following:

• Authoritative websites -- including well-known news outlets and organizations.
• Research studies.
• Academic journals.

4. Independent fact-checking sites and tools could help save time

Using official fact-checking sites and tools -- such as Factcheck.org, Google Fact Check Tools, IBM Watson Discovery and Microsoft's natural language processing ( NLP ) -- could help save time. While various websites and research studies offer in-depth information on specific topics, fact-checking tools can take simpler claims and either substantiate or disprove them, making painstaking research unnecessary.

5. Reach out to subject matter experts if needed

To address any remaining uncertainties, reach out to subject matter experts directly. When unsure of an AI's outputs -- possibly because the topic at hand is new or niche and not covered extensively online -- credible websites or databases often provide contact information for qualified individuals, including email addresses or phone numbers.

6. Proofread the content

After all the facts have been verified by human fact-checkers, proofread the document. Like humans, AI systems can also misspell words, and use bad grammar and confusing wording. While using tools such as Grammarly can help in the process, humans should review it, too.

Drawing conclusions about AI content generators

After following these steps, content creators and readers can draw conclusions about whether an AI content generator or website relying on AI-generated content is credible.

In a reader's case, they might determine false AI-generated content has compromised a particular website's credibility if much of the information is incorrect or biased. Content creators who used a faulty AI tool to generate content and spotted many problems could either move forward with the AI tool with an abundance of caution or rule it out entirely and move to a new tool. Conversely, outputs found to be entirely or mostly accurate are indicative of a successful generative AI tool .

Cameron Hashemi-Pour is a technology writer for WhatIs. Before joining TechTarget, he graduated from the University of Massachusetts Dartmouth and received his MFA in Professional Writing/Communications. He then worked at Context Labs (BV), a software company based in Cambridge, MA, as a Technical Editor.

How to detect AI-generated content

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TechBullion

Research and development in food safety careers: an in-depth exploration.

The importance of food safety cannot be overstated. Ensuring that food products are safe for consumption is a critical aspect of the entire food production process, from farm to table. This is where Research and Development (R&D) in food safety comes into play. Professionals in this field work tirelessly to innovate, test, and implement safety protocols that protect consumers from foodborne illnesses and other hazards.

The Role of Research and Development in Food Safety

Ensuring compliance with regulations.

One of the primary responsibilities of R&D in food safety is to ensure that food products comply with national and international regulations. These regulations are established by organizations such as the Food and Drug Administration (FDA) in the United States and the European Food Safety Authority (EFSA) in the European Union. Compliance involves rigorous testing and documentation to confirm that food products meet safety standards.

Research teams work closely with regulatory bodies to stay updated on any changes in laws and guidelines. They conduct studies to determine the impact of new regulations on food production processes and ensure that their companies or clients adhere to these requirements. Failure to comply with regulations can result in severe penalties, including product recalls, legal action, and damage to a company’s reputation.

Innovating New Food Safety Technologies

Innovation is at the heart of R&D in food safety. As the food industry evolves, new challenges emerge that require innovative solutions. For instance, the increasing demand for fresh, minimally processed foods has led to the development of new preservation techniques. These techniques aim to extend shelf life while maintaining food safety and quality.

R&D professionals are responsible for researching and developing these new technologies . This could involve anything from creating new packaging materials that reduce contamination risks to developing advanced sensors that detect pathogens in food products. The goal is always to stay ahead of potential threats and ensure that food remains safe throughout its journey from producer to consumer.

Addressing Emerging Food Safety Threats

The global food supply chain is more interconnected than ever, which has increased the risk of widespread foodborne illnesses. R&D teams play a crucial role in identifying and addressing these emerging threats. For example, the rise of antibiotic-resistant bacteria in food animals has become a significant concern in recent years. Research is ongoing to find alternative methods of controlling these bacteria without compromising food safety.

Additionally, climate change is expected to introduce new challenges to food safety. Changing weather patterns can affect crop yields and lead to the proliferation of harmful pathogens. R&D teams are at the forefront of studying these impacts and developing strategies to mitigate the risks associated with climate change.

Skills Required for a Career in Food Safety R&D

Strong scientific background.

A strong scientific foundation is essential for anyone pursuing a career in food safety R&D. This field requires expertise in biology, chemistry, microbiology, and food science. Professionals must be able to understand complex scientific principles and apply them to real-world situations.

A bachelor’s degree in a related field is typically the minimum requirement, but many positions, particularly those in research and development, may require advanced degrees such as a master’s or Ph.D. In addition to formal education, practical experience in a laboratory setting is highly valuable. Hands-on experience allows professionals to develop the technical skills necessary to conduct experiments, analyze data, and troubleshoot problems.

Analytical and Problem-Solving Skills

Food safety R&D professionals must possess strong analytical and problem-solving skills. The ability to analyze data, identify patterns, and draw conclusions is critical in this field. Whether it’s identifying the source of a contamination issue or developing a new testing method, these professionals must be able to think critically and creatively to solve complex problems.

Problem-solving often involves working under pressure, particularly when dealing with potential food safety crises. R&D teams must quickly assess the situation, identify the root cause, and implement effective solutions to prevent further harm. This requires not only technical expertise but also the ability to remain calm and focused in high-stress situations.

Communication and Collaboration

Effective communication is another vital skill for food safety R&D professionals. These individuals must be able to communicate their findings clearly and concisely to various stakeholders, including regulatory bodies, company executives, and the public. This often involves writing detailed reports, presenting data, and explaining complex scientific concepts in a way that is understandable to non-experts.

Collaboration is also key in this field. Food safety R&D teams often work closely with other departments, such as quality control, production, and regulatory affairs. Building strong working relationships with colleagues in these areas is essential for the successful implementation of food safety initiatives.

Career Paths in Food Safety R&D

Research scientist.

Research scientists in food safety play a pivotal role in developing new technologies and methods to ensure food safety. These professionals conduct experiments, analyze data, and publish their findings in scientific journals. Their work often focuses on improving existing safety protocols or developing new ones to address emerging threats.

Research scientists may work for government agencies, private companies, or academic institutions. In addition to conducting research, they may also be involved in teaching and mentoring the next generation of food safety professionals.

Food Safety Consultant

Food safety consultants provide expert advice to companies in the food industry. They help businesses navigate the complex regulatory landscape, conduct risk assessments, and develop safety plans. Consultants may also be called upon to assist with crisis management in the event of a food safety incident.

This career path requires a deep understanding of food safety regulations and best practices. Consultants must stay up-to-date on the latest developments in the field and be able to apply their knowledge to a wide range of situations.

Regulatory Affairs Specialist

Regulatory affairs specialists are responsible for ensuring that food products comply with all relevant regulations. They work closely with R&D teams to ensure that new products meet safety standards and are ready for market. This role involves a great deal of documentation, as specialists must prepare and submit reports to regulatory bodies.

Regulatory affairs specialists must have a thorough understanding of the regulatory environment and be able to interpret complex laws and guidelines. Strong organizational skills are essential in this role, as it involves managing multiple projects and deadlines simultaneously.

Quality Assurance Manager

Quality assurance managers oversee the implementation of food safety protocols within a company. They work closely with R&D teams to ensure that all products meet safety standards before they reach consumers. This role involves conducting audits, inspecting facilities, and training staff on food safety practices.

Quality assurance managers must be detail-oriented and have a strong understanding of food safety principles. They must also be able to lead a team and ensure that everyone is following proper procedures.

The Future of Food Safety Careers

The impact of technology.

The future of food safety careers will be heavily influenced by technological advancements. The use of artificial intelligence (AI) and machine learning is already beginning to revolutionize the field. These technologies can help R&D teams analyze vast amounts of data, identify potential risks, and develop more effective safety protocols.

For example, AI can be used to predict foodborne illness outbreaks by analyzing data from various sources, such as social media and healthcare records. This allows R&D teams to take proactive measures to prevent the spread of illness. Additionally, blockchain technology is being explored as a way to improve traceability in the food supply chain, making it easier to identify the source of contamination and take corrective action.

Increasing Global Collaboration

As the global food supply chain becomes more interconnected, collaboration between countries and organizations will be essential. Food safety professionals will need to work together across borders to address shared challenges and develop universal standards. This will require a greater emphasis on communication and cooperation in food safety careers.

International organizations, such as the World Health Organization (WHO) and the Food and Agriculture Organization (FAO), are already playing a key role in facilitating global collaboration on food safety. Professionals in this field will need to be adaptable and willing to work in diverse cultural and regulatory environments.

Research and development in food safety is a dynamic and essential field that plays a critical role in protecting public health. The careers available in this sector are diverse, offering opportunities for individuals with a wide range of skills and interests . As the food industry continues to evolve, the demand for skilled R&D professionals will only increase. Those who choose to pursue a career in food safety R&D will find themselves at the forefront of innovation, working to ensure that the food we consume is safe and of the highest quality.

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