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• How to Write a Discussion Section | Tips & Examples

How to Write a Discussion Section | Tips & Examples

Published on August 21, 2022 by Shona McCombes . Revised on July 18, 2023.

The discussion section is where you delve into the meaning, importance, and relevance of your results .

It should focus on explaining and evaluating what you found, showing how it relates to your literature review and paper or dissertation topic , and making an argument in support of your overall conclusion. It should not be a second results section.

There are different ways to write this section, but you can focus your writing around these key elements:

• Summary : A brief recap of your key results
• Interpretations: What do your results mean?
• Implications: Why do your results matter?
• Limitations: What can’t your results tell us?
• Recommendations: Avenues for further studies or analyses

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Table of contents

What not to include in your discussion section, step 1: summarize your key findings, step 2: give your interpretations, step 3: discuss the implications, step 4: acknowledge the limitations, step 5: share your recommendations, discussion section example, other interesting articles, frequently asked questions about discussion sections.

There are a few common mistakes to avoid when writing the discussion section of your paper.

• Don’t introduce new results: You should only discuss the data that you have already reported in your results section .
• Don’t make inflated claims: Avoid overinterpretation and speculation that isn’t directly supported by your data.
• Don’t undermine your research: The discussion of limitations should aim to strengthen your credibility, not emphasize weaknesses or failures.

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Start this section by reiterating your research problem and concisely summarizing your major findings. To speed up the process you can use a summarizer to quickly get an overview of all important findings. Don’t just repeat all the data you have already reported—aim for a clear statement of the overall result that directly answers your main research question . This should be no more than one paragraph.

Many students struggle with the differences between a discussion section and a results section . The crux of the matter is that your results sections should present your results, and your discussion section should subjectively evaluate them. Try not to blend elements of these two sections, in order to keep your paper sharp.

• The results indicate that…
• The study demonstrates a correlation between…
• This analysis supports the theory that…
• The data suggest that…

The meaning of your results may seem obvious to you, but it’s important to spell out their significance for your reader, showing exactly how they answer your research question.

The form of your interpretations will depend on the type of research, but some typical approaches to interpreting the data include:

• Identifying correlations , patterns, and relationships among the data
• Discussing whether the results met your expectations or supported your hypotheses
• Contextualizing your findings within previous research and theory
• Explaining unexpected results and evaluating their significance
• Considering possible alternative explanations and making an argument for your position

You can organize your discussion around key themes, hypotheses, or research questions, following the same structure as your results section. Alternatively, you can also begin by highlighting the most significant or unexpected results.

• In line with the hypothesis…
• Contrary to the hypothesized association…
• The results contradict the claims of Smith (2022) that…
• The results might suggest that x . However, based on the findings of similar studies, a more plausible explanation is y .

As well as giving your own interpretations, make sure to relate your results back to the scholarly work that you surveyed in the literature review . The discussion should show how your findings fit with existing knowledge, what new insights they contribute, and what consequences they have for theory or practice.

Ask yourself these questions:

• Do your results support or challenge existing theories? If they support existing theories, what new information do they contribute? If they challenge existing theories, why do you think that is?
• Are there any practical implications?

Your overall aim is to show the reader exactly what your research has contributed, and why they should care.

• These results build on existing evidence of…
• The results do not fit with the theory that…
• The experiment provides a new insight into the relationship between…
• These results should be taken into account when considering how to…
• The data contribute a clearer understanding of…
• While previous research has focused on  x , these results demonstrate that y .

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Even the best research has its limitations. Acknowledging these is important to demonstrate your credibility. Limitations aren’t about listing your errors, but about providing an accurate picture of what can and cannot be concluded from your study.

Limitations might be due to your overall research design, specific methodological choices , or unanticipated obstacles that emerged during your research process.

Here are a few common possibilities:

• If your sample size was small or limited to a specific group of people, explain how generalizability is limited.
• If you encountered problems when gathering or analyzing data, explain how these influenced the results.
• If there are potential confounding variables that you were unable to control, acknowledge the effect these may have had.

After noting the limitations, you can reiterate why the results are nonetheless valid for the purpose of answering your research question.

• The generalizability of the results is limited by…
• The reliability of these data is impacted by…
• Due to the lack of data on x , the results cannot confirm…
• The methodological choices were constrained by…
• It is beyond the scope of this study to…

Based on the discussion of your results, you can make recommendations for practical implementation or further research. Sometimes, the recommendations are saved for the conclusion .

Suggestions for further research can lead directly from the limitations. Don’t just state that more studies should be done—give concrete ideas for how future work can build on areas that your own research was unable to address.

• Further research is needed to establish…
• Future studies should take into account…
• Avenues for future research include…

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In the discussion , you explore the meaning and relevance of your research results , explaining how they fit with existing research and theory. Discuss:

• Your  interpretations : what do the results tell us?
• The  implications : why do the results matter?
• The  limitation s : what can’t the results tell us?

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

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.

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How to Write a Dissertation Discussion Chapter – A Quick Guide with Examples

Published by Alvin Nicolas at August 12th, 2021 , Revised On July 12, 2024

Dissertation discussion is the chapter where you explore the relevance, significance, and meanings of your findings  – allowing you to showcase your talents in describing and analyzing the results of your study.

Here, you will be expected to demonstrate how your research findings  answer the  research questions  established or test the  hypothesis .

The arguments you assert in the dissertation analysis and discussions chapter lay the foundations of your conclusion . It is critically important to discuss the results in a precise manner.

To help you understand how to write a dissertation discussion chapter, here is the list of the main elements of this section so you stay on the right track when writing:

• Summary: Start by providing a summary of your key research findings
• Interpretations: What is the significance of your findings?
• Implications: Why are your findings important to academic and scientific communities, and what purpose would they serve?
• Limitations: When and where will your results have no implications?
• Future Recommendations : Advice for other researchers and scientists who explore the topic further in future.

The dissertation discussion chapter should be carefully drafted to ensure that the results mentioned in your research align with your research question, aims, and objectives.

Considering the importance of this chapter for all students working on their dissertations, we have comprehensive guidelines on how to write a dissertation discussion chapter.

The discussion and  conclusion  chapters often overlap. Depending on your university, you may be asked to group these two sections in one chapter – Discussion and Conclusion.

In some cases, the results and discussion are put together under the Results and Discussion chapter. Here are some dissertation examples of working out the best structure for your dissertation.

Alternatively, you can look for the required  dissertation structure in your handbook  or consult your supervisor.

Steps of How to Write Dissertation Discussion Chapter

1. provide a summary of your findings.

Start your discussion by summarising the key findings of your research questions. Avoid repeating the information you have already stated in the previous chapters.

You will be expected to clearly express your interpretation of results to answer the research questions established initially in one or two paragraphs.

Here are some  examples of how to present the summary of your findings ;

• “The data suggests that”,
• “The results confirm that”,
• “The analysis indicates that”,
• “The research shows a relationship between”, etc.

2. Interpretations of Results

Your audience will expect you to provide meanings of the results, although they might seem obvious to you. The results and their interpretations should be linked to the research questions so the reader can understand the value your research has added to the literature.

There are many ways of interpreting the data, but your chosen approach to interpreting the data will depend on the  type of research involved . Some of the most common strategies employed include;

• Describing how and why you ended up with unexpected findings and explaining their importance in detail
• Relating your findings with previous studies conducted
• Explaining your position with logical arguments when/if any alternative explanations are suggested
• An in-depth discussion around whether or not the findings answered your research questions and successfully tested the hypothesis

Examples of how you can start your interpretation in the Discussion chapter are –

• “Findings of this study contradict those of Allen et al. (2014) that”,
• “Contrary to the hypothesized association,” “Confirming the hypothesis…”,
• “The findings confirm that A is….. even though Allen et al. (2014) and Michael (2012) suggested B was …..”

3. Implications of your Study

What practical and theoretical implications will your study have for other researchers and the scientific community as a whole?

It is vital to relate your results to the knowledge in the existing literature so the readers can establish how your research will contribute to the existing data.

When thinking of the possible consequences of your findings, you should ask yourself these;

• Are your findings in line with previous studies? What contribution did your research make to them?
• Why are your results entirely different from other studies on the same topic?
• Did your findings approve or contradict existing knowledge?
• What are the practical implications of your study?

Remember that as the researcher, you should aim to let your readers know why your study will contribute to the existing literature. Possible ways of starting this particular section are;

• “The findings show that A….. whereas Lee (2017) and John (2013) suggested that B”, “The results of this study completely contradict the claims made in theories”,
• “These results are not in line with the theoretical perspectives”,
• “The statistical analysis provides a new understanding of the relationship between A and B”,
• “Future studies should take into consideration the findings of this study because”

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4. Recognise the Limitations of your Research

Almost every academic research has some limitations. Acknowledging them will only add to your credibility as a scientific researcher.

In addition to the possible human errors, it’s important to take into account other factors that might have influenced the results of your study, including but not limited to unexpected research obstacles, specific methodological choices , and the overall research design.

Avoid mentioning any limitations that may not be relevant to your research aim, but clearly state the limitations that may have affected your results.

For example, if you used a sample size that included a tiny population, you may not generalise your results.

Similarly, obstacles faced in collecting data from the participants can influence the findings of your study. Make a note of all such  research limitations , but explain to the reader why your results are still authentic.

• The small sample size limited the generalisability of the results.
• The authenticity of the findings may have been influenced by….
• The obstacles in collecting data resulted in…
• It is beyond the framework of this research…

5. Provide Recommendations for Future Research

The limitations of your research work directly result in future recommendations . However, it should be noted that your recommendations for future research work should include the areas that your own work could not report so other researchers can build on them.

Sometimes the recommendations are a part of the  conclusion chapter . Some examples;

• More research is needed to be performed….

The Purpose of Dissertation Discussion Chapter 

Remember that the discussion section of a dissertation is the heart of your research because a) it will indicate your stance on the topic of research, and b) it answers the research questions initially established in the Introduction chapter .

Every piece of information you present here will add value to the existing literature within your field of study. How you structured your findings in the preceding chapter will help you determine the best structure for your dissertation discussion section.

For example, it might be logical to structure your analysis/discussions by theme if you chose the pattern in your findings section.

But generally, discussion based on research questions is the more widely used  structure  in academia because this pattern clearly indicates how you have addressed the aim of your research.

Most UK universities require the supervisor or committee members to comment on the extent to which each research question has been answered. You will be doing them a great favour if you structure your discussion so that each research question is laid out separately.

Irrespective of whether you are  writing an essay, dissertation, or  chapter of a dissertation , all pieces of writing should start with an  introduction .

Once your readers have read through your study results, you might want to highlight the contents of the subsequent discussion as an introduction paragraph (summary of your results – as explained above).

Likewise, the discussion chapter is expected to end with a concluding paragraph – allowing you the opportunity to summarise your interpretations.

The dissertation analysis & discussion chapter is usually very long, so it will make sense to emphasise the critical points in a concluding paragraph so the reader can grasp the essential information. This will also help to make sure the reader understands your analysis.

Also Read:   Research Discussion Of Findings

Useful Tips 

Presentation of graphs, tables, and figures.

In the 1990s and early 2000s, students spent days creating graphs and charts for their  statistical analysis work . Thanks to technology, you can produce even more accurate graphs and figures today in a shorter period.

Using  Microsoft Word, STATA, SPSS, Microsoft Excel  and other statistical analysis software, we can now draw  beautiful-looking figures, tables , and graphs with just a few clicks and make them appear in our document at the desired place. But there are downsides to being too dependent on technology.

Many students make the common mistake of using colours to represent variables when really they have to print their dissertation paper final copy in black and white.

Any colours on graphs and figures will eventually be viewed in the grayscale presentation. Recognizing different shades of grey on the same chart or graph can sometimes be a little confusing.

For example, green and purple appear as pretty much the same shade of grey on a line chat, meaning your chart will become unreadable to the marker.

Another trap you may fall into is the unintentional stuffing   of the dissertation chapter with graphs and figures. Even though it is essential to show numbers and statistics, you don’t want to overwhelm your readers with too many.

It may not be necessary to have a graph/table under each sub-heading. Only you can best judge whether or not you need to have a graph/table under a particular sub-heading as the writer.

Relating to Previous Chapters  

As a student, it can be challenging to develop your own analysis and discussion of results. One of the excellent discussion chapter requirements is to showcase your ability to relate previous research to your research results.

Avoid repeating the same information over and over. Many students fall into this trap which negatively affects the mark of their overall dissertation paper .

Concise and to-the-point information will help you effectively convey your point to the readers.

Although you must demonstrate how your findings relate to previous research, it is equally important to ensure you are not simply rewriting what has already been said in the introduction  and  literature review  chapters.

The best strategy is to use examples from previous sections to postulate an argument.

Hyperlinks are recommended to take the reader from one section to another. This is especially important for submitting electronic documents as .word or .pdf files. Hyperlinking is tedious and time-consuming, so you should allow for this in your dissertation timeline to avoid rushing in the closing stages.

Also read: How to Write the Abstract for the Dissertation.

Using Subsections and Subheadings

You might want to reflect on the structure of the discussion in your organizstion of the dissertation discussion chapter, and for that, you will need to create sub-sections.

It is essential to keep subsections to the point and as short as possible. Use a layer of subheadings if possible.

For example

Subsection 4.1 of Chapter 4- Discussion can be further divided into sections 4.1.1 and 4.2.2. After three numerical layers (4.1.1, 4.2.2, and 4.2.3), any subheadings need not appear in the contents table.

The titles of all subsections will appear on your table of contents  so choose the wordings carefully. A title too long or too short might confuse the reader. A one or two-word subheading will not give the reader enough information to understand the section.

Likewise, using a research question or long sentences in the subheading is not recommended. It might help to examine how other researchers and writers create these subheadings.

Critical Thinking

Your critical thinking skills are the crux of your dissertation discussion chapter. You will do yourself a great disservice if you fail to put the critical thinking element into the equation.

After all, this exercise aims to showcase clarity in your thoughts and arguments. Markers of the dissertation give more importance to the analysis  and discussion chapter. But you could be marked negatively if this particular chapter lacks critical thinking.

Many students struggle to distinguish between fundamental descriptive analysis and critical thinking with their opinions on the research topic.

Critical thinking is a skill developed over time, and it might be daunting for you to come to terms with the idea of critical thinking and its use in your analysis. But even if you are no expert, you must try your best.

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Duplication of Content

Another critical error students make reaffirming the point the graph/chart was supposed to make. Writing out the same information as presented in the graph defeats the whole purpose of having them in the first place.

You will be expected to form your opinions and arguments based on the findings (as presented by the graphs), so keep an eye on this mistake. Finally, avoid simply inserting a graph without any explanation whatsoever.

It should be noted that there is no correct or incorrect number of charts/figures one can use in the dissertation findings and discussion chapter. A balance must be struck.

Avoid Over Interpretation

This is a major no-no when writing a dissertation discussion. Do not make an argument that isn’t backed by your collected data.

The results and interpretations that cannot be supported should not be mentioned. Your research will be deemed unauthentic and will also be questioned by your supervisor if you do so. Results should be interpreted without any bias.

How to Write the Findings of a Dissertation.

Do not Speculate

Speculation in the  discussion chapter of your dissertation is discouraged. Your dissertation’s discussion is based on your collected data and how it relates to your research questions. Thus, speculating here will undoubtedly undermine your research’s credibility.

Also, try not to generalise your findings. If your research is based on a specific population, do not state that the same findings might apply in every case. As indicated previously, it is essential to acknowledge the limitations of your research.

On the other hand, if you think your discussion needs to address other populations as well, start your sentence like this ‘We speculate that..’ or ‘It is speculated that..’ This will keep you from getting into any trouble.

What are the elements of the Dissertation Discussion?

The list of the main elements of the discussion chapter are:

• Implications : Why are your findings important to academic and scientific communities, and what purpose would they serve?
• Future Recommendations: Advice for other researchers and scientists who explore the topic further in future.

What are the steps of writing a Dissertation Discussion Chapter?

• Write a summary of the findings
• Provide a summary of your findings
• Interpretations of Results
• Recognise the Limitations of your research
• Provide Recommendations for Future Research.

Can we use graphs and charts in the Dissertation Discussion Chapter?

Yes, using graphs to aid your statistical results and enhance presentation is essential, but do not overwhelm it with a lot of graphs in multiple colours. 

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The list of figures and tables in dissertation help the readers find tables and figures of their interest without looking through the whole dissertation.

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How to write the analysis and discussion chapters in qualitative (SSAH) research

By charlesworth author services.

• Charlesworth Author Services
• 11 November, 2021

While it is more common for Science, Technology, Engineering and Mathematics (STEM) researchers to write separate, distinct chapters for their data/ results and analysis/ discussion , the same sections can feel less clearly defined for a researcher in Social Sciences, Arts and Humanities (SSAH). This article will look specifically at some useful approaches to writing the analysis and discussion chapters in qualitative/SSAH research.

Note : Most of the differences in approaches to research, writing, analysis and discussion come down, ultimately, to differences in epistemology – how we approach, create and work with knowledge in our respective fields. However, this is a vast topic that deserves a separate discussion.

Look for emerging themes and patterns

The ‘results’ of qualitative research can sometimes be harder to pinpoint than in quantitative research. You’re not dealing with definitive numbers and results in the same way as, say, a scientist conducting experiments that produce measurable data. Instead, most qualitative researchers explore prominent, interesting themes and patterns emerging from their data – that could comprise interviews, textual material or participant observation, for example. 

You may find that your data presents a huge number of themes, issues and topics, all of which you might find equally significant and interesting. In fact, you might find yourself overwhelmed by the many directions that your research could take, depending on which themes you choose to study in further depth. You may even discover issues and patterns that you had not expected , that may necessitate having to change or expand the research focus you initially started off with.

It is crucial at this point not to panic. Instead, try to enjoy the many possibilities that your data is offering you. It can be useful to remind yourself at each stage of exactly what you are trying to find out through this research.

What exactly do you want to know? What knowledge do you want to generate and share within your field?

Then, spend some time reflecting upon each of the themes that seem most interesting and significant, and consider whether they are immediately relevant to your main, overarching research objectives and goals.

Suggestion: Don’t worry too much about structure and flow at the early stages of writing your discussion . It would be a more valuable use of your time to fully explore the themes and issues arising from your data first, while also reading widely alongside your writing (more on this below). As you work more intimately with the data and develop your ideas, the overarching narrative and connections between those ideas will begin to emerge. Trust that you’ll be able to draw those links and craft the structure organically as you write.

Let your data guide you

A key characteristic of qualitative research is that the researchers allow their data to ‘speak’ and guide their research and their writing. Instead of insisting too strongly upon the prominence of specific themes and issues and imposing their opinions and beliefs upon the data, a good qualitative researcher ‘listens’ to what the data has to tell them.

Again, you might find yourself having to address unexpected issues or your data may reveal things that seem completely contradictory to the ideas and theories you have worked with so far. Although this might seem worrying, discovering these unexpected new elements can actually make your research much richer and more interesting. 

Suggestion: Allow yourself to follow those leads and ask new questions as you work through your data. These new directions could help you to answer your research questions in more depth and with greater complexity; or they could even open up other avenues for further study, either in this or future research.

Work closely with the literature

As you analyse and discuss the prominent themes, arguments and findings arising from your data, it is very helpful to maintain a regular and consistent reading practice alongside your writing. Return to the literature that you’ve already been reading so far or begin to check out new texts, studies and theories that might be more appropriate for working with any new ideas and themes arising from your data.

Reading and incorporating relevant literature into your writing as you work through your analysis and discussion will help you to consistently contextualise your research within the larger body of knowledge. It will be easier to stay focused on what you are trying to say through your research if you can simultaneously show what has already been said on the subject and how your research and data supports, challenges or extends those debates. By drawing from existing literature , you are setting up a dialogue between your research and prior work, and highlighting what this research has to add to the conversation.

Suggestion : Although it might sometimes feel tedious to have to blend others’ writing in with yours, this is ultimately the best way to showcase the specialness of your own data, findings and research . Remember that it is more difficult to highlight the significance and relevance of your original work without first showing how that work fits into or responds to existing studies. 

In conclusion

The discussion chapters form the heart of your thesis and this is where your unique contribution comes to the forefront. This is where your data takes centre-stage and where you get to showcase your original arguments, perspectives and knowledge. To do this effectively needs you to explore the original themes and issues arising from and within the data, while simultaneously contextualising these findings within the larger, existing body of knowledge of your specialising field. By striking this balance, you prove the two most important qualities of excellent qualitative research : keen awareness of your field and a firm understanding of your place in it.

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Dissertation Genius

12 Steps to Write an Effective Discussion Chapter

November 5, 2016 by Dissertation Genius

This article gives doctoral dissertation students valuable guidance on how to go about writing their Discussion chapter. The article starts by outlining the main goals and writing approaches. Then the article explains 12 specific steps to take to write an effective discussion chapter.

Discussion Chapter: Main Goals and Writing Approaches

You should always keep in mind the main goals when writing your Discussion chapter. These include stating your interpretations, declaring your opinions, explaining the effects of your findings, and making suggestions and predictions for future research.

With the main goals mentioned, it is interesting to note how to go about writing this chapter. To do this, follow three important suggestions:

• Answer those questions posed in the introduction (central research questions)
• Show how the answers are supported by the results
• Explain how the answers fit relative to the existing body of knowledge about the subject

Keep in mind that the Discussion chapter can be considered the most important part of your dissertation. Therefore, don’t be surprised if you may need more than one writing attempt for this chapter.

The 12 Steps to an Effective Discussion Chapter

To make sure your message remains crystal-clear, the Discussion chapter should be short and sweet, but it should fully state, support, elaborate, explain, and defend your conclusions. Take great care to ensure the writing is a commentary and not simply a regurgitation of results. Side (distracting) issues should not be written about because they will cloud the essence of your message. There is no perfect dissertation, but help your reader determine what the facts are and what is speculation.

Here are 12 steps to keep in mind when writing your Discussion Chapter:

• Always try to structure your Discussion chapter from the ‘specific’ to the ‘general’: expand and transition from the narrow confines of your study to the general framework of your discipline.
• Make a consistent effort to stick with the same general tone of the introduction. This means using the same key terms, the same tense, and the same point of view as used in your introduction.
• Start by rewriting your research questions and re-stating your hypothesis (if any) that you previously posed in your introduction. Then declare the answers to your research questions – make sure to support these answers with the findings of your dissertation.
• Continue by explaining how your results relate to the expectations of your study and to literature. Clearly explain why these results are acceptable and how they consistently fit in with previously published knowledge about the subject. Be sure to use relevant citations.
• Make sure to give the proper attention for all the results relating to your research questions, this is regardless of whether or not the findings were statistically significant.
• Don’t forget to tell your audience about the patterns, principles, and key relationships shown by each of your major findings and then put them into perspective. The sequencing of this information is important: 1) state the answer, 2) show the relevant results and 3) cite the work of credible sources. When necessary, point the audience to figures and/or graphs to ‘enhance’ your argument.
• Make sure to defend your answers. Try to do so in two ways: by explaining the validity of your answer and by showing the shortcomings of others’ answers. You will make your point of view more convincing if you give both sides to the argument.
• Also make sure to identify conflicting data in your work. Make a good point of discussing and evaluating any conflicting explanations of your results. This is an effective way to win over your audience and make them sympathetic to any true knowledge your study might have to offer.
• Make sure to include a discussion of any unexpected findings. When doing this, begin with a paragraph about the finding and then describe it. Also identify potential limitations and weaknesses inherent in your study. Then comment on the importance of these limitations to the interpretation of your findings and how they may impact their validity. Do not use an apologetic tone in this section. Every study has limitations.
• Conduct a brief summary of the principal implications of your findings (do this regardless of any statistical significance). Make sure to provide 1-2 recommendations for potential research in the future.
• Show how the results of your study and their conclusions are significant and how they impact our understanding of the problem(s) that your dissertation examines.
• On a final note, discuss everything this is relevant but be brief, specific, and to the point.

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How Do I Write the Discussion Chapter?

Reflecting on and Comparing Your Data, Recognising the Strengths and Limitations

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The Discussion chapter brings an opportunity to write an academic argument that contains a detailed critical evaluation and analysis of your research findings. This chapter addresses the purpose and critical nature of the discussion, contains a guide to selecting key results to discuss, and details how best to structure the discussion with subsections and paragraphs. We also present a list of points to do and avoid when writing the discussion together with a Discussion chapter checklist.

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Braun V, Clarke V (2013) Successful qualitative research: a practical guide for beginners. SAGE Publications, London

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PLOS (2023) Author resources. How to write discussions and conclusions. Accessed Mar 3, 2023, from https://plos.org/resource/how-to-write-conclusions/ . Accessed 3 Mar 2023

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Cottrell S (2017) Critical thinking skills: effective analysis, argument and reflection, 3rd edn. Palgrave, London

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Reeves, S., Buczkowski, B. (2023). How Do I Write the Discussion Chapter?. In: Mastering Your Dissertation. Springer, Cham. https://doi.org/10.1007/978-3-031-41911-9_9

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How to Write Your Thesis Discussion Section

The discussion section is the most critical aspect of your thesis. It is written after presenting your data in the results section. This article explains how to structure your thesis discussion section and what content is required.

What is the thesis discussion section?

The thesis discussion includes explanations and interpretations of your results in the context of your thesis question and  literature review , discusses their implications, acknowledges their limitations, and gives recommendations. In doing so, you make an argument to support your conclusion .

What should the thesis discussion section include?

• A summary of your key findings

This analysis does not support the theory that…

• The answer to your thesis question

These findings confirm our hypothesis that…

• An interpretation of your findings

Our findings agree with the theory proposed by Jones (2019)…

• The implications of your findings

The data provide new evidence of…

• The limitations of your findings (i.e., what can’t the results tell us)

This study only included individuals living in urban areas, and the results may not be generalizable to populations in rural areas…

• Suggestions of practical applications of your findings

X should be taken into consideration when…

• Recommendations for further scientific investigations

Further studies are necessary to…

What should the thesis discussion section not include?

• A restatement of all your results
• The introduction of new results . All results in the discussion section must have been presented in the results section.
• Speculations that can’t be supported by your data
• Results that do not directly relate to your thesis question or hypothesis
• Tables and figures (these are usually included in the results section)

How does the discussion overlap with other thesis sections?

The content in the thesis discussion section overlaps with the results section — the results section presents the data, and the discussion section interprets it. The structure of the discussion section differs according to the type of research ( quantitative vs. qualitative ). In qualitative research, such as in the Humanities and Social Sciences (HSS) domain, the discussion and results from sections are often combined. In thesis studies involving quantitative research, such as in the Sciences domain, these sections are usually written separately.

The content in the thesis discussion section also overlaps with the conclusion section — the discussion section presents a detailed analysis and interpretation of the data, and the conclusion section summarizes the main findings of the discussion. The discussion and conclusion sections may also be combined into a single section in some fields of study. If you are unsure of which structure to use, ask your supervisor for guidance and check the requirements of your academic institution.

How to write a thesis discussion

The discussion section of a thesis starts with an interpretation of the results and then places the findings in the general context of the field of study.

The discussion section is the most critical section of your thesis and will probably be the hardest to write. The discussion section of a thesis starts with an interpretation of the results and then places the findings in the general context of the field of study. This section also demonstrates your ability to think critically and develop innovative solutions to problems based on your findings, resulting in a deeper understanding of the research problem.

Because it can be daunting to write the thesis discussion section in one go, first prepare a draft according to the following steps:

• Prepare an outline that broadly states your argument and how your results support it.
• Strengthen your argument by mapping out how your results fit into the outline.
• Place unexpected or controversial results in context and describe what may have caused them.
• Go back to your literature review to identify any studies that you might want to delve into in greater detail given the findings of your study.
• Identify study limitations.
• Briefly summarize the importance and implications of your findings.
• Recommend any practical applications of your study findings.
• Suggest future work that could build on your findings or address study limitations.

Once you are happy with your draft, it’s time to finalize the thesis discussion section. Use the steps below as a guideline:

• First, restate your thesis question and hypothesis that were stated in the introduction.
• Then, use your findings to support the answer to your thesis question.
• Defend your answers by discussing other studies with correlating results.
• Explain how your findings consistently fit in with the current literature and mention how they address knowledge gaps in the field.
• Mention studies that conflict with your findings, and try to explain possible causes of these contradictions (e.g., population size, inclusion and excision criteria, differences in data collection and analysis methods).
• Address any unexpected findings. Describe what happened and then discuss the potential causes (e.g., a skewed response rate, sampling bias, or changes in the equipment used). Because they could have been caused by a flawed sampling method or an incorrect choice of methodology, carefully check that you have adequately justified your methodological approach. In extreme cases, you may need to restructure your hypothesis or rewrite your introduction.
• Research studies are expected to have limitations and weaknesses. Mention all of them and how they may have impacted the interpretation and validity of your findings. Some limitations could highlight areas that require further study.
• Summarize the practical applications and theoretical implications of your findings.
• Recommend potential areas for future research.

How do I interpret my results?

The thesis discussion section must concisely interpret the results and assign importance to them. This is achieved by:

• Identifying relationships, patterns, and correlations in the data
• Discussing whether the findings support your hypothesis
• Considering alternative explanations while also justifying your chosen explanation
• Emphasizing novel results and explaining how they fill knowledge gaps
• Explaining unexpected results and determining their significance

How do I discuss the implications of my results?

The discussion section of your thesis explains how your findings fit in with and contribute to the existing literature. This refers back to the literature review section of your thesis. The following questions should be addressed:

• Are your findings supported by other studies, and do they add to the body of knowledge or address a gap?
• Do your findings disagree with other studies? If so, determine or suggest the reason(s) why.
• Do your findings challenge or support existing theories?
• What are the practical implications of your findings?

How do I acknowledge the limitations of my study?

It is expected that all studies will have limitations. When discussing your study limitations, don’t undermine your findings . A good discussion of the limitations will strengthen your study’s credibility.

Examples of study limitations: sample size, differences in methods used for data collection or analysis, study type (e.g., retrospective vs. prospective), inclusion/exclusion criteria of the study population, effects of confounders, researcher bias, and robustness of the data collection method.

How do I make recommendations for future research?

Recommendations should either be included in the discussion or the conclusion section of your thesis, but not in both. This could include:

• Addressing questions related to your study that remain unanswered
• Suggesting a logical progression of your research study using concrete ideas
• Suggesting future work based on the study limitations you have identified

Example: Future studies using a larger sample size from multiple sites are recommended to confirm the generalizability of our findings. Example: We suggest that the participants are re-interviewed after 5 years to determine how their perception of this traumatic experience has changed.

Tips for writing the thesis discussion section

• Use subheadings to break down the discussion into smaller sections that identify key points.
• Maintain consistency with the introduction  and  literature review sections. Use the same point of view, tone, and terminology.
• Be concise .
• Be logical. Present the discussion in the same sequence as the results unless there is an unexpected or novel finding that should be emphasized first.
• Do not use jargon, and define all technical terms and abbreviations/acronyms.
• Cite all sources. The majority of references cited in the thesis discussion section should be recent (i.e., published within the past 10 years).
• Avoid plagiarism .

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services , visit Enago Thesis Editing for more information.

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Are your  key findings summarized in the thesis discussion section?

Have you  interpreted your findings in the context of your thesis question?

Have you shown how your findings fit in by  discussing differences and similarities with current literature as well as any gaps in the literature that your findings address?

Have you  explained the significance of your findings?

Have you  contemplated alternative explanations for your findings?

Have you  explained the practical and/or theoretical implications of your findings?

Have you identified and  evaluated the limitations of your study?

Have you  recommended practical actions or areas that require further studies based on your findings?

What tense is used to write the thesis discussion section? +

Use the present tense when referring to established facts. Use the past tense when referring to previous studies.

What is the difference between the discussion and conclusion sections of a thesis? +

The  discussion section is a detailed analysis and interpretation of the study results that place them in context with the associated literature. The  conclusion section is much shorter than the discussion section. It mentions the main points of the discussion section, tells the reader why your research is important, and makes recommendations based on your study findings.

What is the difference between the results and discussion sections of a thesis? +

The results section objectively reports the study findings without speculation. The discussion section interprets the findings, puts them into context, and assigns importance to them.

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Dissertation findings and discussion sections

(Last updated: 2 March 2020)

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Granted that at some point in the discussion you are going to have to link back to this previous research. But you still have the opportunity to demonstrate how you have met that coveted gap in the research and generally made a useful contribution to knowledge.

There are many ways to write up both your findings and discussion. In shorter dissertations, it might make sense to have both of these comprise one section. In longer pieces of work, these chapters are usually separate.

Information contained in this section will highlight the finer details of writing up your findings and discussion sections. We will use the model of Description – Analysis – Synthesis , which are typically the three components readers expect to see in these two sections.

Preparing to write

We also assume that you have used some sort of software program to help you with the organisation of your findings. If you have not completed this process, you must do so before beginning to write. If not, your findings chapter may end up a confusing and unorganised mess of random information. If you need help in this area, make sure to seek it out before beginning to put your findings down on paper.

One of the main issues that students tend to encounter when writing up their findings is the amount of data to include. By the end of the research process, you've probably collected very large amounts of data . Not all of this can possibly appear in your dissertation without completely overwhelming the reader. As a result, you need to be able to make smart decisions about what to include and what to leave out.

One of the easiest ways to approach this task is to create an outline. In approaching the outline, it is in your best interest to focus on two key points. Firstly, you need to focus on answering your research questions. Secondly, you must include any particularly interesting findings that have cropped up as you completed your research.

An outline will give you the structure you need, and should make the whole process of presenting your findings easier. We realise that it is going to be a difficult process to pick and choose pieces of data to include. But you must be diligent in the work that you cut out. A findings chapter that is long and confusing is going to put the reader off reading the rest of your work.

Introducing your findings

It can be up to 40% of the total word count within your dissertation writing . This is a huge chunk of information, so it's essential that it is clearly organised and that the reader knows what is supposed to be happening. One of the ways you can achieve this is through a logical and organised introduction.

There are four main components that your introduction should include:

Reminding the reader of what you set out to do

A brief description of how you intend approaching the write up of the results

Placing the research in context

Letting the reader know where they can find the research instruments (i.e. the Appendix)

With a findings chapter, there should be no suspense for the reader. You need to tell them what they need to know right from the beginning. This way, they'll have a clear idea about what is still to come. A good introduction will start by telling the reader where you have come from in the research process and what the outcome was (in a couple of paragraphs or less).

You need to highlight the structure of the chapter (as you generally will do with all chapters) and where the reader might find any further information (e.g. in the appendices).

Organisation of data

This is really going to depend on the type of project you have created .

For example, if you have completed a qualitative research project, you might have identified some key themes within the software program you used to organise your data. In this case, highlighting these themes in your findings chapter may be the most appropriate way to proceed. Not only are you using information that you have already documented, you are telling a story in each of your sections (which can be useful in qualitative research).

But what if you undertook a more quantitative type study? You might be better off structuring your findings chapter in relation to your research questions or your hypotheses. This assumes, of course, that you have more than one research question or hypothesis. Otherwise you would end up just having one really long section.

This brings us to our next student mistake – trying to do too much within one section.

Subheadings are ultimately going to be your friend throughout your dissertation writing . Not only do they organise your information into logical pieces, they give the reader guidelines for where your research might be going. This is also a break for the reader. Looking at pages and pages of text without any breaks can be daunting and overwhelming for a reader. You don't want to overwhelm someone who is going to mark your work and who is responsible for your success (or failure).

When writing your introduction, be clear, organised and methodical. Tell the reader what they need to know and try to organise the information in a way that makes the most sense to you and your project. If in doubt, discuss this with your supervisor before you start writing.

Presentation of qualitative data

If you have conducted things like interviews or observations, you are likely to have transcripts that encompass pages and pages of work.

Putting this all together cohesively within one chapter can be particularly challenging. This is true for two reasons. First, it is always difficult to determine what you are going to cut and/or include. Secondly, unlike quantitative data, it can often be difficult to represent qualitative data through figures and tables, so condensing the information into a visual representation is simply not possible. As a writer, it is important to address both these challenges.

When considering how to present your qualitative data, it may be helpful to begin with the initial outline you have created (and the one described above). Within each of your subsections, you are going to have themes or headings that represent impactful talking points that you want to focus on.

Once you have these headings, it might be helpful to go back to your data and highlight specific lines that can/might be used as examples in your writing. If you have used multiple different instruments to collect data (e.g. interviews and observations), you are going to want to ensure that you are using both examples within each section (if possible). This is so that you can demonstrate to more well-rounded perspective of the points you are trying to make. Once you have identified some key examples for each section, you might still have to do some further cutting/editing.

Once you have your examples firmly selected for each subsection, you want to ensure that you are including enough information. This way, the reader will understand the context and circumstances around what you are trying to ‘prove’. You must set up the examples you have chosen in a clear and coherent way.

Students often make the mistake of including quotations without any other information. It is important that you embed your quotes/examples within your own thoughts. Usually this means writing about the example both before and after. So you might say something like, “One of the main topics that my participants highlighted was the need for more teachers in elementary schools. This was a focal point for 7 of my 12 participants, and examples of their responses included: [insert example] by participant 3 and [insert example] by participant 9. The reoccurring focus by participants on the need for more teachers demonstrates [insert critical thought here]. By embedding your examples in the context, you are essentially highlighting to the reader what you want them to remember.

Aside from determining what to include, the presentation of such data is also essential. Participants, when speaking in an interview might not do so in a linear way. Instead they might jump from one thought to another and might go off topic here and there.

It is your job to present the reader with information on your theme/heading without including all the extra information. So the quotes need to be paired down to incorporate enough information for the reader to be able to understand, while removing the excess.

Finding this balance can be challenging. You have likely worked with the data for a long time and so it might make sense to you. Try to see your writing through the eyes of someone else, which should help you write more clearly.

Presentation of quantitative data

Something to consider first with numeric data is that presentation style depends what department you are submitting to. In the hard sciences, there is likely an expectation of heavy numeric input and corresponding statistics to accompany the findings. In the arts and humanities, however, such a detailed analysis might not be as common. Therefore as you write out your quantitative findings, take your audience into consideration.

Just like with the qualitative data, you must ensure that your data is appropriately organised. Again, you've likely used a software program to run your statistical analysis, and you have an outline and subheadings where you can focus your findings. There are many software programs available and it is important that you have used one that is most relevant to your field of study.

For some, Microsoft Excel may be sufficient for basic analysis. Others may rely on SPSS, Stata, R, or any of the other programs available through your institution or online. Whatever program you have used, make sure that you document what you have done and the variables that have affected your analysis.

One common mistake found in student writing is the presentation of the statistical analysis. During your analysis of the data, you are likely to have run multiple different analyses from regressions to correlations. Often, we see students presenting multiple different statistical analyses without any real understanding of what the tests mean.

Presentation of quantitative data is more than just about numbers and tables. You must explain your findings and justify why you have run/presented the tests that you have. You could also explain how they relate to the research question. However, depending on how you have organised your work, this might end up in the discussion section.

Students who are not confident with statistical analysis often have a tendency to revert back to their secondary school mathematics skills. They commonly document the mean, median, and mode for all of their results. Now, these three outcomes can be important. But having a good understanding of why you are proceeding with this strategy of analysis is going to be essential in a primarily quantitative study.

That noted, there are different expectations for an undergraduate dissertation and a PhD thesis, so knowing what these expectations are can be really helpful before you begin.

Presentation of graphs, tables, and figures

The first is the use of colour and/or variables. Depending on the presentation of your dissertation, you may be required to print out a final copy for the marker(s). In many cases, this final copy must be printed in black and white. This means that any figures or graphs that you create must be readable in a black and white (or greyscale) format.

This can be challenging because there are only so many distinct shades of grey. In a pie chart, you might show one section as purple and the other as green. Yet when printed, both the purple and the green translate to approximately the same shade of grey, making your graph suddenly unreadable.

Another common error is overwhelming the reader with graphs and tables. Let's think about your outline and subheadings. If you're including a table under each subheadings, it needs to be relevant to the information that is being discussed in that chapter. There is no correct or incorrect number of graphs that should exist within the section, but you should use your judgement about what looks appropriate.

The final mistake we see is the duplication of writing (or absence of writing) when presenting a graph. Some students will present their findings in a graph or table and then write out this information again below the graph. This defeats the entire purpose of using the graph in the first place. So avoid this at all times.

Conversely, other students sometimes include a graph or figure but nothing else. Doing this denies the reader of context or purpose of said graph or figure. At some point, a balance needs to be struck where the reader has the information they require to really understand the point being made within the section.

Analysis and synthesis in a discussion

The purpose of a discussion chapter.

The structure of your discussion chapter is really going to depend on what you are trying to do and how you have structured your findings. If you chose to structure your findings by theme, it might make sense to continue this into the analysis chapter.

Other people might structure it according to the research questions. This clearly indicates to the reader how you have addressed your study. Marking a dissertation usually requires the marker to comment on the extent to which the research questions have been addressed. So by structuring a dissertation that lays out each research question for the marker, you are making their job easier. Needless to say, this a great thing.

Like any other chapter in your thesis, an introduction is an essential component of your discussion. By this point, the reader has gone through your findings and is now looking for your interpretation. Therefore, at the end of your discussion introduction you should highlight the content that each of the subsections will cover.

A conclusion to your discussion section (or a chapter summary) is also going to be beneficial. The length of the analysis chapter is usually quite long, so a wrap up of the key points at the end can help the reader digest your work. It can also help ensure that the reader actually understands the points you are trying to highlight within your project.

Critical thinking

Without any critical thinking, you are really doing yourself a disservice. It will affect the mark that you obtain on your overall dissertation. This is why the analysis chapter is usually weighted quite heavily on the marking rubric.

We tell students about critical thinking and the importance of it on a daily basis. And yet, there does seem to be a general confusion about what critical thinking entails, i.e. what constitutes critical thinking versus what is a simple description.

Critical thinking asks you to provide your own opinion on your topic, which can be daunting at first. For much of your academic career, you've likely been asked to use research to justify a position that has already been set. Unlike critical thinking, this requires you to use other people’s ideas. But even if you're new to it, try and get to grips with what critical thinking entails and use it in your work.

Creating sub-sections

Subheadings need to be informative but not too long. It is possible to layer your subheadings, so you might have a Chapter 2, a Section 2.1 and then a 2.1.1 and 2.2.2. Usually anything after 3 numerical points does not get a number and would not appear in your table of contents.

When creating titles for your subheadings, consider how they are going to look in the table of contents. They need to fit on one line, ideally, so putting your research question as the subheading might end up being too long. Conversely, one- or two-word subheadings usually doesn't give enough information about the purpose of the section.

Finding this balance is important. But remember you can always edit your subheadings retrospectively.

Linking to previous chapters

Ideally, you will be able to concisely and effectively link your research to what has been researched previously. But this can be a challenge. You don't want to repeat what has been said in your literature review or the findings . But you need to pull examples from both of these sections in order to make the points that you need to.

So, how do you tackle this?

One way is by referring the reader back to previous chapters, sections, or subsections. This process can generally be done at the end. You can put in a place holder until you know how your sections will be numbered. For example you might write: “In Section XYZ, the theme of … was discussed. Findings from this study indicate…. (see Section XYZ for details)”. While ‘XYZ’ is obviously not going to be the same section, by using the same abbreviation, you can then search ‘XYZ’ after you have completed writing and replace each term with the appropriate number. This also makes the proofreading process easier.

If you are submitting an electronic version of this document, you may also consider hyperlinks to take the reader to the different sections. But be aware that this can be considerably more work, so you should allow for this in your timescale if it's something you wish to implement.

Let's outline the main takeaway points:

It is essential that you keep in mind the ‘describe, analyse, synthesise’ model.

The findings chapter is essentially the describe part. You need to ensure that you have clearly identified data that relates to your research questions, hypotheses, or themes of your study.

For the ‘describe’ component, you are not looking to support your work with other research, but rather to present your contribution. It is also important to consider your data in the ‘describe’ section. If you have qualitative data, ensure that you have edited the quotes and examples to a reasonable length. Pick quotes that accurately represent your theme. Try not to focus solely on one or two participants (if possible). Ensure that you are demonstrating links between multiple instruments, if you used them.

If you are using quantitative data, be careful about how many statistical tests you run. Make sure you can justify why you chose one particular test over another. When presenting graphs, use a colour scheme that's appropriate for the reader when printing in black and white. Ensure that graphs and tables are appropriately explained, but that the information provided is not duplicated.

From the ‘describe’ element, you move into the 'analysis' and 'synthesis'. These parts usually appear in the discussion and ask you to employ your critical thinking skills to demonstrate how your research fits into the bigger picture. It is often the case that your analysis holds the most weight in the marking scheme. So you should spend considerable time ensuring this section is appropriate. It needs to demonstrate how you have attempted to answer your research questions.

Finally, create an outline before you begin. While this might seem tedious at first, filling in the sections with the appropriate information will mean that you are not writing things over and over again. It'll also make sure you do not go wildly off topic. It is always beneficial to have a second set of eyes assess your work for any errors or omissions. Many students choose to contact professional editors to help with this as they hold the relevant expertise to guide you on the correct path to creating a perfect discussion section that is ready for submission.

In terms of presentation, both the findings and discussion chapters will benefit from a clear and logical introduction and chapter summary. Remember that both of these chapters are meant to inform. You are leading the reader on a journey, so make sure they stay on the path and arrive at the final destination with you!

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The purpose of the discussion section is to interpret and describe the significance of your findings in relation to what was already known about the research problem being investigated and to explain any new understanding or insights that emerged as a result of your research. The discussion will always connect to the introduction by way of the research questions or hypotheses you posed and the literature you reviewed, but the discussion does not simply repeat or rearrange the first parts of your paper; the discussion clearly explains how your study advanced the reader's understanding of the research problem from where you left them at the end of your review of prior research.

Annesley, Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Peacock, Matthew. “Communicative Moves in the Discussion Section of Research Articles.” System 30 (December 2002): 479-497.

Importance of a Good Discussion

The discussion section is often considered the most important part of your research paper because it:

• Most effectively demonstrates your ability as a researcher to think critically about an issue, to develop creative solutions to problems based upon a logical synthesis of the findings, and to formulate a deeper, more profound understanding of the research problem under investigation;
• Presents the underlying meaning of your research, notes possible implications in other areas of study, and explores possible improvements that can be made in order to further develop the concerns of your research;
• Highlights the importance of your study and how it can contribute to understanding the research problem within the field of study;
• Presents how the findings from your study revealed and helped fill gaps in the literature that had not been previously exposed or adequately described; and,
• Engages the reader in thinking critically about issues based on an evidence-based interpretation of findings; it is not governed strictly by objective reporting of information.

Annesley Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Bitchener, John and Helen Basturkmen. “Perceptions of the Difficulties of Postgraduate L2 Thesis Students Writing the Discussion Section.” Journal of English for Academic Purposes 5 (January 2006): 4-18; Kretchmer, Paul. Fourteen Steps to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008.

Structure and Writing Style

I.  General Rules

These are the general rules you should adopt when composing your discussion of the results :

• Do not be verbose or repetitive; be concise and make your points clearly
• Avoid the use of jargon or undefined technical language
• Follow a logical stream of thought; in general, interpret and discuss the significance of your findings in the same sequence you described them in your results section [a notable exception is to begin by highlighting an unexpected result or a finding that can grab the reader's attention]
• Use the present verb tense, especially for established facts; however, refer to specific works or prior studies in the past tense
• If needed, use subheadings to help organize your discussion or to categorize your interpretations into themes

II.  The Content

The content of the discussion section of your paper most often includes :

• Explanation of results : Comment on whether or not the results were expected for each set of findings; go into greater depth to explain findings that were unexpected or especially profound. If appropriate, note any unusual or unanticipated patterns or trends that emerged from your results and explain their meaning in relation to the research problem.
• References to previous research : Either compare your results with the findings from other studies or use the studies to support a claim. This can include re-visiting key sources already cited in your literature review section, or, save them to cite later in the discussion section if they are more important to compare with your results instead of being a part of the general literature review of prior research used to provide context and background information. Note that you can make this decision to highlight specific studies after you have begun writing the discussion section.
• Deduction : A claim for how the results can be applied more generally. For example, describing lessons learned, proposing recommendations that can help improve a situation, or highlighting best practices.
• Hypothesis : A more general claim or possible conclusion arising from the results [which may be proved or disproved in subsequent research]. This can be framed as new research questions that emerged as a consequence of your analysis.

III.  Organization and Structure

Keep the following sequential points in mind as you organize and write the discussion section of your paper:

• Think of your discussion as an inverted pyramid. Organize the discussion from the general to the specific, linking your findings to the literature, then to theory, then to practice [if appropriate].
• Use the same key terms, narrative style, and verb tense [present] that you used when describing the research problem in your introduction.
• Begin by briefly re-stating the research problem you were investigating and answer all of the research questions underpinning the problem that you posed in the introduction.
• Describe the patterns, principles, and relationships shown by each major findings and place them in proper perspective. The sequence of this information is important; first state the answer, then the relevant results, then cite the work of others. If appropriate, refer the reader to a figure or table to help enhance the interpretation of the data [either within the text or as an appendix].
• Regardless of where it's mentioned, a good discussion section includes analysis of any unexpected findings. This part of the discussion should begin with a description of the unanticipated finding, followed by a brief interpretation as to why you believe it appeared and, if necessary, its possible significance in relation to the overall study. If more than one unexpected finding emerged during the study, describe each of them in the order they appeared as you gathered or analyzed the data. As noted, the exception to discussing findings in the same order you described them in the results section would be to begin by highlighting the implications of a particularly unexpected or significant finding that emerged from the study, followed by a discussion of the remaining findings.
• Before concluding the discussion, identify potential limitations and weaknesses if you do not plan to do so in the conclusion of the paper. Comment on their relative importance in relation to your overall interpretation of the results and, if necessary, note how they may affect the validity of your findings. Avoid using an apologetic tone; however, be honest and self-critical [e.g., in retrospect, had you included a particular question in a survey instrument, additional data could have been revealed].
• The discussion section should end with a concise summary of the principal implications of the findings regardless of their significance. Give a brief explanation about why you believe the findings and conclusions of your study are important and how they support broader knowledge or understanding of the research problem. This can be followed by any recommendations for further research. However, do not offer recommendations which could have been easily addressed within the study. This would demonstrate to the reader that you have inadequately examined and interpreted the data.

IV.  Overall Objectives

The objectives of your discussion section should include the following: I.  Reiterate the Research Problem/State the Major Findings

Briefly reiterate the research problem or problems you are investigating and the methods you used to investigate them, then move quickly to describe the major findings of the study. You should write a direct, declarative, and succinct proclamation of the study results, usually in one paragraph.

II.  Explain the Meaning of the Findings and Why They are Important

No one has thought as long and hard about your study as you have. Systematically explain the underlying meaning of your findings and state why you believe they are significant. After reading the discussion section, you want the reader to think critically about the results and why they are important. You don’t want to force the reader to go through the paper multiple times to figure out what it all means. If applicable, begin this part of the section by repeating what you consider to be your most significant or unanticipated finding first, then systematically review each finding. Otherwise, follow the general order you reported the findings presented in the results section.

III.  Relate the Findings to Similar Studies

No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your results to those found in other studies, particularly if questions raised from prior studies served as the motivation for your research. This is important because comparing and contrasting the findings of other studies helps to support the overall importance of your results and it highlights how and in what ways your study differs from other research about the topic. Note that any significant or unanticipated finding is often because there was no prior research to indicate the finding could occur. If there is prior research to indicate this, you need to explain why it was significant or unanticipated. IV.  Consider Alternative Explanations of the Findings

It is important to remember that the purpose of research in the social sciences is to discover and not to prove . When writing the discussion section, you should carefully consider all possible explanations for the study results, rather than just those that fit your hypothesis or prior assumptions and biases. This is especially important when describing the discovery of significant or unanticipated findings.

V.  Acknowledge the Study’s Limitations

It is far better for you to identify and acknowledge your study’s limitations than to have them pointed out by your professor! Note any unanswered questions or issues your study could not address and describe the generalizability of your results to other situations. If a limitation is applicable to the method chosen to gather information, then describe in detail the problems you encountered and why. VI.  Make Suggestions for Further Research

You may choose to conclude the discussion section by making suggestions for further research [as opposed to offering suggestions in the conclusion of your paper]. Although your study can offer important insights about the research problem, this is where you can address other questions related to the problem that remain unanswered or highlight hidden issues that were revealed as a result of conducting your research. You should frame your suggestions by linking the need for further research to the limitations of your study [e.g., in future studies, the survey instrument should include more questions that ask..."] or linking to critical issues revealed from the data that were not considered initially in your research.

NOTE: Besides the literature review section, the preponderance of references to sources is usually found in the discussion section . A few historical references may be helpful for perspective, but most of the references should be relatively recent and included to aid in the interpretation of your results, to support the significance of a finding, and/or to place a finding within a particular context. If a study that you cited does not support your findings, don't ignore it--clearly explain why your research findings differ from theirs.

V.  Problems to Avoid

• Do not waste time restating your results . Should you need to remind the reader of a finding to be discussed, use "bridge sentences" that relate the result to the interpretation. An example would be: “In the case of determining available housing to single women with children in rural areas of Texas, the findings suggest that access to good schools is important...," then move on to further explaining this finding and its implications.
• As noted, recommendations for further research can be included in either the discussion or conclusion of your paper, but do not repeat your recommendations in the both sections. Think about the overall narrative flow of your paper to determine where best to locate this information. However, if your findings raise a lot of new questions or issues, consider including suggestions for further research in the discussion section.
• Do not introduce new results in the discussion section. Be wary of mistaking the reiteration of a specific finding for an interpretation because it may confuse the reader. The description of findings [results section] and the interpretation of their significance [discussion section] should be distinct parts of your paper. If you choose to combine the results section and the discussion section into a single narrative, you must be clear in how you report the information discovered and your own interpretation of each finding. This approach is not recommended if you lack experience writing college-level research papers.
• Use of the first person pronoun is generally acceptable. Using first person singular pronouns can help emphasize a point or illustrate a contrasting finding. However, keep in mind that too much use of the first person can actually distract the reader from the main points [i.e., I know you're telling me this--just tell me!].

Analyzing vs. Summarizing. Department of English Writing Guide. George Mason University; Discussion. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Hess, Dean R. "How to Write an Effective Discussion." Respiratory Care 49 (October 2004); Kretchmer, Paul. Fourteen Steps to Writing to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008; The Lab Report. University College Writing Centre. University of Toronto; Sauaia, A. et al. "The Anatomy of an Article: The Discussion Section: "How Does the Article I Read Today Change What I Will Recommend to my Patients Tomorrow?” The Journal of Trauma and Acute Care Surgery 74 (June 2013): 1599-1602; Research Limitations & Future Research . Lund Research Ltd., 2012; Summary: Using it Wisely. The Writing Center. University of North Carolina; Schafer, Mickey S. Writing the Discussion. Writing in Psychology course syllabus. University of Florida; Yellin, Linda L. A Sociology Writer's Guide . Boston, MA: Allyn and Bacon, 2009.

Writing Tip

Don’t Over-Interpret the Results!

Interpretation is a subjective exercise. As such, you should always approach the selection and interpretation of your findings introspectively and to think critically about the possibility of judgmental biases unintentionally entering into discussions about the significance of your work. With this in mind, be careful that you do not read more into the findings than can be supported by the evidence you have gathered. Remember that the data are the data: nothing more, nothing less.

MacCoun, Robert J. "Biases in the Interpretation and Use of Research Results." Annual Review of Psychology 49 (February 1998): 259-287; Ward, Paulet al, editors. The Oxford Handbook of Expertise . Oxford, UK: Oxford University Press, 2018.

Another Writing Tip

Don't Write Two Results Sections!

One of the most common mistakes that you can make when discussing the results of your study is to present a superficial interpretation of the findings that more or less re-states the results section of your paper. Obviously, you must refer to your results when discussing them, but focus on the interpretation of those results and their significance in relation to the research problem, not the data itself.

Azar, Beth. "Discussing Your Findings."  American Psychological Association gradPSYCH Magazine (January 2006).

Yet Another Writing Tip

Avoid Unwarranted Speculation!

The discussion section should remain focused on the findings of your study. For example, if the purpose of your research was to measure the impact of foreign aid on increasing access to education among disadvantaged children in Bangladesh, it would not be appropriate to speculate about how your findings might apply to populations in other countries without drawing from existing studies to support your claim or if analysis of other countries was not a part of your original research design. If you feel compelled to speculate, do so in the form of describing possible implications or explaining possible impacts. Be certain that you clearly identify your comments as speculation or as a suggestion for where further research is needed. Sometimes your professor will encourage you to expand your discussion of the results in this way, while others don’t care what your opinion is beyond your effort to interpret the data in relation to the research problem.

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How to Write a Discussion Guide for Qualitative Research

• January 18, 2023

Article Summary:  Discussion guides are the “script” used by qualitative researchers when conducting interviews. Though they shouldn’t be read like a script (questions asked verbatim), they are fundamental when conducting interviews. Understanding the structure of the guide and how to frame the questions is key to a good guide.

In  qualitative research,  the discussion guide is the fundamental document that outlines the questions that the interviewer asks a participant or group of participants.

In this post, I’m going to focus on discussion guides that are used in interview-based research, and not on platforms (for example, mobile ethnography platforms, bulletin boards, or online diaries). Although, keep in mind that the best platform-research  ends  with an  in-depth interview or group discussion , so a discussion guide will come after the first phase.

Discussion guides are fundamental to good interviewing. Moderators often have various techniques with how they use guides (some digest the key questions they need to know and skip around, others follow the question outline closely), but most moderators will agree that setting up your questions first is the key to a good interview.

Before I get started and dive into the key components every discussion guide has, let me first say that discussion guides are  not a  script. They’re a guide – and the key to being a good moderator is to know how to let participants go on tangents and when to guide people back to the core questions. Rarely, though, are guides read through verbatim.

Step 1 to writing a good discussion guide: First, know the goal of the research and the essential question

There is a lot of pre-work that has to happen before a discussion guide ever gets written. This includes understanding the core goals of the research, defining the outputs, and aligning the stakeholders. Our process for this stage is to conduct workshops on Miro with stakeholders, but everyone has their own methods.

This initial stage is where the researcher will define what I like to call “the essential question.”

In other words, if you could only learn one thing from the research, what would it be?

Additionally, you’ll want to clearly label and record the various hypotheses that are being tested. Once you know this – and the team is aligned – you’ll be able to choose the methodology, define the participant criteria, and, once everyone has signed off, start on the guide. (Keep in mind this is a general description of qualitative projects, but of course the details will differ depending on the specific project goals.)

Step 2 to writing a good discussion guide: The introduction

When a moderator begins a research discussion, the introduction is critical. This is the part where the moderator builds rapport with the participant and sets the scene. Be sure to include the following in this stage:

–          Purpose of the study and length of the interview (be sure to keep the client name out if the study is being done blindly)

–          Confidentiality details: If it’s being recorded, how it will be used, and what information will be shared with whom

–          Length of the study

–          Ground rules (this is mostly used in  focus groups or co-creation groups) : Not trying to build consensus, letting everyone speak, participants can discuss ideas with each other as well as the moderator

Once the key expectations are covered, it’s then good to add in a sort of ice-breaker or non-study related question to get the group members or the individual participant to relax. For example, you can ask people what their dream car is or where they most want to travel. I typically try to tie the ice-breaker question to the study theme.

Step 3 to writing a good discussion guide: General questions about the topic

Discussion guides can be seen as an upside-down triangle: Start general at the top (broad at top) and get narrower as you go along.

In this second section, the next goal is to set the scene: Ask general questions about the topic and participant(s). This phase helps build empathy and also slowly invites the participant(s) into the topic. A key component here is that you want the participants to define and name their perceptions of the category before you name it. This is a great opportunity to add in  projective techniques . One favorite one that I typically do at this stage – if I’m leading groups – is to do an association exercise. I’ll write down a few words related to the topic on a board and have everyone write down all the associations they have with the category on sticky notes. They first write it down individually, so as not to bias each other – and then we collect the stickies and discuss as a group. This brings everyone in and sets the tone. Importantly, it also gives the moderator context and helps the moderator to be grounded in the category knowledge or opinions.

Step 4 to writing a good discussion guide: Specific questions and activities

Once the participants have defined the category and the researcher has “set the scene,” the discussion guide then moves into the next section: the specifics. If the study is a user test, this is where the moderator has the participant move through the product design. If it’s a focus group, the researcher will start to hone-in on the Essential Question that was defined at the outset of the study. This is where moderator training is so crucial: Good moderators know how to probe, guide, and ask non-leading questions – while still capturing how people think, feel, and do. Projective techniques and exercises are also commonly used in this phase.

Step 5 to writing a good discussion guide: Closing the interview

As the interview winds down, this is where the researcher has a chance to share the brand name (if the study is blind in the beginning but not 100% blind) to test perceptions. If it’s a completely blind study, this last phase of the discussion guide is to close-the-loop. For example, how would the participant rate the concepts? Where would the participant expect to purchase the product? What type of media outlets does the participant pay attention to (to test brand placement)? Or how is the decision-making done at an organization (to understand the buying process). The closing section is crucial as it allows the moderator to then capture more direct responses without leading the participant, since the categories and initial perceptions/ideas were captured organically – with the participant defining the terms – in the very beginning of the interview.

The discussion guide is crucial: Spend time on this step!

To close up, expect to spend 5-8 hours developing your discussion guide. How the questions are set up, the order of the questions, and, super important – the exercises included in the interview – require creativity and thought to put together.

Once the guide is together, practice and know it well – this will help you skip around if the participant brings up topics before you get to them. When appropriate, be able to skip around as well as probe on ideas that are the most pertinent to the study’s objectives.

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Tips for a qualitative dissertation

Veronika Williams

17 October 2017

Tips for students

This blog is part of a series for Evidence-Based Health Care MSc students undertaking their dissertations.

Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. I chatted to Dr. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis.

1) Make the switch from a quantitative to a qualitative mindset

It’s not just about replacing numbers with words. Doing qualitative research requires you to adopt a different way of seeing and interpreting the world around you. Veronika asks her students to reflect on positivist and interpretivist approaches: If you come from a scientific or medical background, positivism is often the unacknowledged status quo. Be open to considering there are alternative ways to generate and understand knowledge.

2) Reflect on your role

Quantitative research strives to produce “clean” data unbiased by the context in which it was generated.  With qualitative methods, this is neither possible nor desirable.  Students should reflect on how their background and personal views shape the way they collect and analyse their data. This will not only add to the transparency of your work but will also help you interpret your findings.

3)  Don’t forget the theory

Qualitative researchers use theories as a lens through which they understand the world around them. Veronika suggests that students consider the theoretical underpinning to their own research at the earliest stages. You can read an article about why theories are useful in qualitative research  here.

4) Think about depth rather than breadth

Qualitative research is all about developing a deep and insightful understanding of the phenomenon/ concept you are studying. Be realistic about what you can achieve given the time constraints of an MSc.  Veronika suggests that collecting and analysing a smaller dataset well is preferable to producing a superficial, rushed analysis of a larger dataset.

5) Blur the boundaries between data collection, analysis and writing up

Veronika strongly recommends keeping a research diary or using memos to jot down your ideas as your research progresses. Not only do these add to your audit trail, these entries will help contribute to your first draft and the process of moving towards theoretical thinking. Qualitative researchers move back and forward between their dataset and manuscript as their ideas develop. This enriches their understanding and allows emerging theories to be explored.

6) Move beyond the descriptive

When analysing interviews, for example, it can be tempting to think that having coded your transcripts you are nearly there. This is not the case!  You need to move beyond the descriptive codes to conceptual themes and theoretical thinking in order to produce a high-quality thesis.  Veronika warns against falling into the pitfall of thinking writing up is, “Two interviews said this whilst three interviewees said that”.

7) It’s not just about the average experience

When analysing your data, consider the outliers or negative cases, for example, those that found the intervention unacceptable.  Although in the minority, these respondents will often provide more meaningful insight into the phenomenon or concept you are trying to study.

8) Bounce ideas

Veronika recommends sharing your emerging ideas and findings with someone else, maybe with a different background or perspective. This isn’t about getting to the “right answer” rather it offers you the chance to refine your thinking.  Be sure, though, to fully acknowledge their contribution in your thesis.

9) Be selective

In can be a challenge to meet the dissertation word limit.  It won’t be possible to present all the themes generated by your dataset so focus! Use quotes from across your dataset that best encapsulate the themes you are presenting.  Display additional data in the appendix.  For example, Veronika suggests illustrating how you moved from your coding framework to your themes.

10) Don’t panic!

There will be a stage during analysis and write up when it seems undoable.  Unlike quantitative researchers who begin analysis with a clear plan, qualitative research is more of a journey. Everything will fall into place by the end.  Be sure, though, to allow yourself enough time to make sense of the rich data qualitative research generates.

Related course:

Qualitative research methods.

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Academic Phrases for Writing Results & Discussion Sections of a Research Paper

Overview |   Abstract   | Introduction | Literature Review | Materials & Methods | Results & Discussion | Conclusion & Future Work | Acknowledgements & Appendix

The results and discussion sections are one of the challenging sections to write. It is important to plan this section carefully as it may contain a large amount of scientific data that needs to be presented in a clear and concise fashion. The purpose of a Results section is to present the key results of your research. Results and discussions can either be combined into one section or organized as separate sections depending on the requirements of the journal to which you are submitting your research paper. Use subsections and subheadings to improve readability and clarity. Number all tables and figures with descriptive titles. Present your results as figures and tables and point the reader to relevant items while discussing the results. This section should highlight significant or interesting findings along with P values for statistical tests. Be sure to include negative results and highlight potential limitations of the paper. You will be criticised by the reviewers if you don’t discuss the shortcomings of your research. This often makes up for a great discussion section, so do not be afraid to highlight them.

The results and discussion section of your research paper should include the following:

• Comparison with prior studies
• Limitations of your work
• Casual arguments
• Speculations
• Deductive arguments

1. Findings

From the short review above, key findings emerge: __ We describe the results of __, which show __ This suggests that __ We showed that __ Our findings on __ at least hint that __ This is an important finding in the understanding of the __ The present study confirmed the findings about __ Another promising finding was that __ Our results demonstrated that __ This result highlights that little is known about the __ A further novel finding is that __ Together, the present findings confirm __ The implications of these findings are discussed in __ The results demonstrate two things.  First, __. Second,  __ The results of the experiment found clear support for the __ This analysis found evidence for __ Planned comparisons revealed that __ Our results casts a new light on __ This section summarises the findings and contributions made. It performs well, giving good results. This gives clearly better results than __ The results confirm that this a good choice for __ From the results, it is clear that __ In this section, we will illustrate some experimental results. This delivers significantly better results due to __ The result now provides evidence to __ It leads to good results, even if the improvement is negligible. This yields increasingly good results on data. The result of this analysis is then compared with the  __ The applicability of these new results are then tested on __ This is important to correctly interpret the results. The results are substantially better than __ The results lead to similar conclusion where __ Superior results are seen for __ From these results it is clear that __ Extensive results carried out show that this method improves __ We obtain good results with this simple method. However, even better results are achieved when using our algorithm. It is worth discussing these interesting facts revealed by the results of  __ Overall, our method was the one that obtained the most robust results. Slightly superior results are achieved with our algorithm. The result is equal to or better than a result that is currently accepted.

2. Comparison with prior studies

The results demonstrated in this chapter match state of the art methods. Here we compare the results of the proposed method with those of the traditional methods. These results go beyond previous reports, showing that __ In line with previous studies __ This result ties well with previous studies wherein __ Contrary to the findings of __ we did not find __ They have demonstrated that __ Others have shown that __ improves __ By comparing the results from __, we hope to determine __ However, in line with the ideas of __, it can be concluded that __ When comparing our results to those of older studies, it must be pointed out that __ We have verified that using __ produces similar results Overall these findings are in accordance with findings reported by __ Even though we did not replicate the previously reported __, our results suggest that __ A similar conclusion was reached by __ However, when comparing our results to those of older studies, it must be pointed out __ This is consistent with what has been found in previous __ A similar pattern of results was obtained in __ The findings are directly in line with previous findings These basic findings are consistent with research showing that __ Other results were broadly in line with __

3. Limitations of your work

Because of the lack of __ we decided to not investigate __ One concern about the findings of __ was that __ Because of this potential limitation, we treat __ The limitations of the present studies naturally include __ Regarding the limitations of __, it could be argued that __ Another limitation of this __ This limitation is apparent in many __ Another limitation in __ involves the issue of __ The main limitation is the lack of __ One limitation is found in this case. One limitation of these methods however is that they __ It presents some limitations such as __ Although widely accepted, it suffers from some limitations due to __ An apparent limitation of the method is __ There are several limitations to this approach. One limitation of our implementation is that it is __ A major source of limitation is due to  __ The approach utilised suffers from the limitation that __ The limitations are becoming clear __ It suffers from the same limitations associated with a __

4. Casual arguments

A popular explanation of __ is that __ It is by now generally accepted that __ A popular explanation is that __ As it is not generally agreed that __ These are very small and difficult to observe. It is important to highlight the fact that __ It is notable that __ An important question associated with __ is __ This did not impair the __ This is important because there is __ This implies that __ is associated with __ This is indicative for lack of __ This will not be biased by __ There were also some important differences in __ It is interesting to note that, __ It is unlikely that __ This may alter or improve aspects of __ In contrast, this makes it possible to __ This is particularly important when investigating __ This has been used to successfully account for __ This introduces a possible confound in __ This was included to verify that __

5. Speculations

However, we acknowledge that there are considerable discussions among researchers as to __ We speculate that this might be due to __ There are reasons to doubt this explanation of __ It remains unclear to which degree __ are attributed to __ However, __ does seem to improve __ This does seem to depend on __ It is important to note, that the present evidence relies on __ The results show that __ does not seem to impact the __ However, the extent to which it is possible to __ is unknown Alternatively, it could simply mean that __ It is difficult to explain such results within the context of __ It is unclear whether this is a suitable for __ This appears to be a case of __ From this standpoint, __ can be considered as __ To date, __remain unknown Under certain assumptions, this can be construed as __ Because of this potential limitation, we treat __ In addition, several questions remain unanswered. At this stage of understanding, we believe__ Therefore, it remains unclear whether __ This may explain why __

6. Deductive arguments

A difference between these __ can only be attributable to __ Nonetheless, we believe that it is well justified to __ This may raise concerns about __ which can be addressed by __ As discussed, this is due to the fact that __ Results demonstrate that this is not necessarily true. These findings support the notion that __ is not influenced by __ This may be the reason why we did not find __ In order to test whether this is equivalent across __, we __ Therefore, __ can be considered to be equivalent for __

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• How to Write a Discussion Section | Tips & Examples

How to Write a Discussion Section | Tips & Examples

Published on 21 August 2022 by Shona McCombes . Revised on 25 October 2022.

The discussion section is where you delve into the meaning, importance, and relevance of your results .

It should focus on explaining and evaluating what you found, showing how it relates to your literature review , and making an argument in support of your overall conclusion . It should not be a second results section .

There are different ways to write this section, but you can focus your writing around these key elements:

• Summary: A brief recap of your key results
• Interpretations: What do your results mean?
• Implications: Why do your results matter?
• Limitations: What can’t your results tell us?
• Recommendations: Avenues for further studies or analyses

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Table of contents

What not to include in your discussion section, step 1: summarise your key findings, step 2: give your interpretations, step 3: discuss the implications, step 4: acknowledge the limitations, step 5: share your recommendations, discussion section example.

There are a few common mistakes to avoid when writing the discussion section of your paper.

• Don’t introduce new results: You should only discuss the data that you have already reported in your results section .
• Don’t make inflated claims: Avoid overinterpretation and speculation that isn’t directly supported by your data.
• Don’t undermine your research: The discussion of limitations should aim to strengthen your credibility, not emphasise weaknesses or failures.

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Start this section by reiterating your research problem  and concisely summarising your major findings. Don’t just repeat all the data you have already reported – aim for a clear statement of the overall result that directly answers your main  research question . This should be no more than one paragraph.

Many students struggle with the differences between a discussion section and a results section . The crux of the matter is that your results sections should present your results, and your discussion section should subjectively evaluate them. Try not to blend elements of these two sections, in order to keep your paper sharp.

• The results indicate that …
• The study demonstrates a correlation between …
• This analysis supports the theory that …
• The data suggest  that …

The meaning of your results may seem obvious to you, but it’s important to spell out their significance for your reader, showing exactly how they answer your research question.

The form of your interpretations will depend on the type of research, but some typical approaches to interpreting the data include:

• Identifying correlations , patterns, and relationships among the data
• Discussing whether the results met your expectations or supported your hypotheses
• Contextualising your findings within previous research and theory
• Explaining unexpected results and evaluating their significance
• Considering possible alternative explanations and making an argument for your position

You can organise your discussion around key themes, hypotheses, or research questions, following the same structure as your results section. Alternatively, you can also begin by highlighting the most significant or unexpected results.

• In line with the hypothesis …
• Contrary to the hypothesised association …
• The results contradict the claims of Smith (2007) that …
• The results might suggest that x . However, based on the findings of similar studies, a more plausible explanation is x .

As well as giving your own interpretations, make sure to relate your results back to the scholarly work that you surveyed in the literature review . The discussion should show how your findings fit with existing knowledge, what new insights they contribute, and what consequences they have for theory or practice.

Ask yourself these questions:

• Do your results support or challenge existing theories? If they support existing theories, what new information do they contribute? If they challenge existing theories, why do you think that is?
• Are there any practical implications?

Your overall aim is to show the reader exactly what your research has contributed, and why they should care.

• These results build on existing evidence of …
• The results do not fit with the theory that …
• The experiment provides a new insight into the relationship between …
• These results should be taken into account when considering how to …
• The data contribute a clearer understanding of …
• While previous research has focused on  x , these results demonstrate that y .

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Even the best research has its limitations. Acknowledging these is important to demonstrate your credibility. Limitations aren’t about listing your errors, but about providing an accurate picture of what can and cannot be concluded from your study.

Limitations might be due to your overall research design, specific methodological choices , or unanticipated obstacles that emerged during your research process.

Here are a few common possibilities:

• If your sample size was small or limited to a specific group of people, explain how generalisability is limited.
• If you encountered problems when gathering or analysing data, explain how these influenced the results.
• If there are potential confounding variables that you were unable to control, acknowledge the effect these may have had.

After noting the limitations, you can reiterate why the results are nonetheless valid for the purpose of answering your research question.

• The generalisability of the results is limited by …
• The reliability of these data is impacted by …
• Due to the lack of data on x , the results cannot confirm …
• The methodological choices were constrained by …
• It is beyond the scope of this study to …

Based on the discussion of your results, you can make recommendations for practical implementation or further research. Sometimes, the recommendations are saved for the conclusion .

Suggestions for further research can lead directly from the limitations. Don’t just state that more studies should be done – give concrete ideas for how future work can build on areas that your own research was unable to address.

• Further research is needed to establish …
• Future studies should take into account …
• Avenues for future research include …

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Speaker 1: Hey guys, welcome to Grad Coach TV, where we demystify and simplify the oftentimes confusing world of academic research. My name's David and today I'm chatting to one of our trusted coaches, Amy, about 6 tips to keep in mind when you're conducting your thematic analysis. This discussion is based on one of the many, many articles over at the Grad Coach blog. So if you'd like to find out more about thematic analysis, you can visit the blog at gradcoach.com forward slash blog. Also, if you're looking for a helping hand with your dissertation, thesis, or research project, be sure to check out our one-on-one private coaching service, where we hold your hand throughout the research process, step-by-step. For more information and to book a free consultation, head over to gradcoach.com. So hey Amy, welcome back to the CoachCast. As always, super great to have you on it with us today.

Speaker 2: Hi David, I'm happy to be here.

Speaker 1: So Amy, today we're talking about thematic analysis and sort of some tips and tricks that we can do to sort of ease the process of running thematic analysis. And the first tip that we're going to mention is probably one anyone who's been watching our content will know will come up, is making sure you're considering your golden thread when running your thematic analysis. So Amy, what should we be looking out for here?

Speaker 2: Well, the first place to start is with your research questions. So look at the qualifying words you've attached to your research questions. What type of research questions are you using? Are they exploratory in nature? Are they predictive? Are they interpretive? So this matters because this is going to determine how you're analyzing your data and sort of what phrases you use when you're finalizing your themes. So then the next thing you can look at is the types of research aims and objectives you have. So again, if your study is more exploratory, then you need to remain kind of more open when you're identifying patterns in what your participants have said or in whatever data source you're using. Conversely, if you're trying to make some sort of a prediction or some sort of a conclusive statement, then you might need to be a bit more intentional about how you're looking at your data and what you're looking for. And then you might look at your theoretical framework or model if you're using one. I always think they're a good idea because they just really help organize your whole study and make sure that golden thread is tightly aligned throughout each chapter. So a framework, a model will have different constructs, different features. And so what are those constructs? What are the branches of the model? Really dissect that and then that can help organize your data and it can, you know, it should be the lens through which you're analyzing your data anyway, that theoretical framework. So for example, if you're doing a study and you're using social identity theory, then the thing that you're looking for is relationships. So you're looking for the presence and the patterns and anytime the participants are talking about personal relationships. If you're using a framework that's about an intervention, let's say social workers and discipline at a school, you're going to be looking in the data for anytime your participants are talking about anything that has to do with student discipline to identify whether or not and the degree to which the presence of social workers is helping with discipline.

Speaker 1: I think that's really helpful to think through sort of those core parts of your golden thread. If what we're talking about sounds a little strange, don't worry. We do have a video up on YouTube explaining what the golden thread is and how to use it. The link to that will be down in the description below, but it's really helpful to think about letting your golden thread lead you through how you're going to undertake the thematic analysis, but it's also good to go back to it right at the end. Once you feel comfortable with your analysis that you've identified themes, it's a good thing to take a look at those themes and just make sure you're in line with what you set out to do. You don't want to have set out to do an exploratory study and then by the time you get right to the end, you're actually doing something completely different. So we're always looking for that alignment back to what we started off with. And so the golden thread is going to be super helpful there.

Speaker 2: Part of that, I always say it's a little bit helpful to just copy and paste your research questions at the beginning of each chapter and you don't have to end with that. You can take those out, but just to keep you, okay, am I veering too far off of the research questions and just keep referring back to those at the start of every chapter?

Speaker 1: I can't agree more with that. I do it all the time myself and I encourage all my students to do it as well. The research questions have to come up at least in every chapter whether they stay there, maybe not, but definitely putting them there is just going to help you out down the line. So our second tip is to remember that thematic analysis and qualitative analysis in general is iterative. You're not just going to do a single run through of your analysis. Amy, why do we need to follow this sort of back and forth process with our data?

Speaker 2: Well, David, I think a lot of times, well, every time actually, we as researchers, we're coming into our projects with a certain worldview, a certain perspective, which is good. This is a part of it. And you talk about that in your method section and your positionality perhaps. You have certain expectations for what you're going to find in your study and you might even be hoping for certain things. And inevitably in your raw data and your transcripts, you're going to find certain things that probably reflect those expectations in some way. So those are going to emerge in some form or another as your dominant themes. So that's why to minimize that bias, you want to make sure to circle back to that raw data, to those transcripts, and you'll probably find some lines, some things that your participants said that you didn't quite capture just because it's not as dominant as the other things doesn't mean it's not worth incorporating into your findings. And in fact, it could lead to something quite interesting. So you want to just make sure you're capturing all angles of what your participants have said in their experiences. That is the whole point of doing qualitative work. One thing I really suggest is helpful for me is taking quick breaks, leave your desk, leave you the computer, get some fresh air, or even, you know, stare at another screen for a while. And what you'll do is get your eyes off of those words, get your brain off of those words, is you'll come back with fresh brain, fresh perspective. And you'll see things completely differently. You'll see things perhaps that you didn't see at all before. So that might actually require that you step away for more than just a few minutes, that could be a week or more if you're just really kind of stuck, which happens a lot when we're really engrossed in our work.

Speaker 1: So I think that's super helpful, and it's one of the things that I know I do in more than just analysis chapters, in write-up, in planning. It's always good to take that step back to do something else and then to come back and look with fresh eyes. But again, with the thematic analysis, remember that it's an iterative process. We're going to be looking at our data, we're going to be looking at the codes we've generated, seeing the relationships that exist, and then consider developing them into themes. We're then going to take those themes right back to the data to confirm they exist. And you're going to do that a few times. There's multiple rounds to a thematic analysis. You know, you might do an initial round just to identify the core themes. You might do a second round and identify potential sub-themes that are making up a theme, or maybe a theme you thought you had might actually not have the support that you initially thought. So it's always good to come back and re-look at your data because your data is what's supporting your view.

Speaker 2: Yeah, absolutely. That's so critical, especially in qualitative work, to demonstrate to your audience, to your committee, to whomever, that you have gone systematically, methodically, in rounds, step by step. So it's not just you read the transcripts once, came up with codes, came up with themes, and that was it. This should take a fairly lengthy amount of time. And that's also where that putting time and distance between you and the transcripts comes into play as well.

Speaker 1: I think that's a really helpful point. And it's somewhat a little unclear when you're reading a paper that's done a thematic analysis. It sounds like they've just coded it and found the themes. They don't always mention how many steps there are. Definitely take a look at any of the methodological textbooks out there, any of the key resources, I swear by Braun and Clark, but definitely take a look at those and they can be so helpful in the thematic analysis process.

Speaker 2: I mean, if you look at the systematic thematic analysis, those people, they will take hours and they will be in teams and you'll be in committees sitting around boardroom desks before they finalize their ultimate themes. So you're absolutely right that it may look like a very short phrase, okay, it takes nothing to come up with that. But no, in fact, it takes a lot of thoughtfulness, a lot of consideration, a lot of tying all of these pieces together to feel confident about what you're ultimately saying about your study is wholly reflective of what your participants actually said.

Speaker 1: So our third tip is to expect the unexpected. Amy, what's unexpected in thematic analysis?

Speaker 2: To me, this is kind of the fun of doing qualitative work is that, or any research really, you don't really know what you're going to find. And I think one of the things that I have found with the students that I work with is that if they're going into it with certain expectations, and then in the findings, it's not there, or it's there in a different way, then they feel like they've done something wrong. But that's not the case. And in fact, it's quite the opposite is as long as you have enough evidence to support your findings, you want to have those unexpected findings. I mean, that's kind of the unexpected in significant way that you're contributing to research. And that's definitely something you'll want to emphasize is this is how your study is contributing to existing research. Let's say that you're looking at a particular leadership framework that emphasizes the importance of clear communication. But when you actually go to interview the employers, your participants are employers, and they're not really talking about communicating with their employees, then that's significant. I mean, you're finding that that's not actually happening. And this could have important implications for those organizations that there needs to be standardized the framework, they need to better apply it. Or maybe the framework itself needs to be adjusted in some way.

Speaker 1: I think that's really helpful to think through, especially because it's really easy to think when something doesn't go the way that the literature is stating that you think the problems with you. It's very much something that happens with imposter syndrome, particularly with young researchers who are just learning the ropes. What I can say is have a bit of faith in yourself. This is your analysis. And as long as you can go back to your data that you have strong support from the interviews through the use of quotes and the analysis that you've done, then it's totally okay to have these results. And if anything, they're going to be the surprising results that help improve your study. But just make sure not to throw out the expected findings in lieu of the unexpected. Make sure that if there are four out of five of the aims and objectives that you had that totally makes sense with the literature, deal with each of those. And where there is that unexpected finding, then you can bring that in as needed. So don't feel you have to question your own results, but also make sure you've got the data to support it.

Speaker 2: Yeah, I like the way that you say that. It is about finding that confidence as a researcher. Especially if this is your first time doing this, a lot of the clients that we work with, it is their first time. That's why you want to be so methodical and so thoughtful and read, read, read, get some coaching help, get outside help for each step of the process. So at the end, you can have that confidence and feel like, well, this is not what I thought I was going to find, but I've done everything correctly. So I'm going to include this. Yes, I'm going to stand by this. This is something unexpected, but I think there's something interesting here.

Speaker 1: There's so much richness to doing that. It's definitely what makes for fun qualitative analysis is when you do identify these little interesting tidbits that sort of enrich the concept that you're dealing with. And I guess that's why we're coming to qualitative research is for that level of richness in the data set. So our fourth tip is to not forget the importance of keeping good quality research journals. When we're doing research journaling during thematic analysis, what are the things we need to be keeping in mind and why is it beneficial?

Speaker 2: Well, I keep coming back to this notion of doing qualitative work and the importance of conveying rigor and being systematic. So one of that is transparency. So you want each and every steps that you're taking in your design to be clear, the logic behind each of the design decisions that you made. And there's going to be a lot of decisions and a lot of thinking that you have. So keep track of that in a reflexive journal. So this start from the very beginning, but you need to have this documented in some way so you can keep reflecting back to it because later on, you're going to circle back and you're going to think, what was, what was I thinking there when I said that, or when I coded it this way? And then if you have that there, you go, okay, yes, that was my logic there. Inevitably, you're going to forget things. So keeping a journal for each step will be helpful, especially when you get to your coding, just to get out of your head and get your thoughts onto paper, start listing your codes, you have your empirical indicators, those are your exemplar that reflect the examples of those codes. And then you have a brief description and then maybe add a column for your own reflective thinking your own memo to fill in the dots of maybe what isn't, you know, literally reflected in the words of the quote itself. Memos and journals are really important too, in the actual interviews. So as you're interviewing a participant, you have the, you know, over zoom or in person, you're recording the audio, okay? But you're also writing down the, all of the whole context, everything, and that's what we call thick notes. And that you can actually add to your methods section as a part of your method. Thick notes is that you're writing down, there might be something significant in the, in the nonverbal communication, but the participant isn't saying that you might factor into your later analysis, that's important. So for example, if you ask, ask a question about something and they give a long extended pause, or they seem uncomfortable in some way, you write that down and then you later on it might make something later on make more sense. But the point is, you know, it's kind of a fairly easy thing to do keeping a research journal it's for yourself. You're not going to necessarily include it in your paper. So you can write however you want to write it, whatever you want to write, but being able to circle back and remind yourself about why you made certain choices will help you later on, turn that into more academic writing of those explanations for those choices.

Speaker 1: I think that is really good advice. And it's something that can even help as a thinking process by getting those ideas onto paper at that point and going back and reflecting on them, you can generate further insights. It's also really helpful when it comes to defending your research because that inevitably happens a month or a little bit after you've handed in a little bit further since you did your analysis. So having a document that you can go back to that has sort of the outline of your thinking and how your thinking has developed is going to be super helpful in the writeup phase, but also when you're defending your thesis, simply taking a read through of your journal prior to a defense is just going to give you so much more confidence in the way you approach to your research topic and how you answered those questions.

Speaker 2: Yeah, that's true too, because inevitably in research, it's an evolution and your paper is going to change probably in quite a few ways from where you initially started. And that's okay too. That's totally normal. That's how it should happen. But there might be some things at the beginning or along the way that are also really important. And maybe it got lost as you refined and refined and everybody's giving their input and you're just hacking your paper apart and getting to the finalized version. So going back to that journal and really reminding yourself about what is it that you originally wanted to get out of this research? What was the point you were trying to make? What were your goals? What was the story you wanted to tell that maybe got lost a little bit along the way so that journal can help you bring you back to why you wanted to do this to begin with?

Speaker 1: My advice is, and it's the same thing I tell quantitative scientists, just keep notes of every step because the worst case scenario, you used up a little bit of paper or in the modern era, a few megabytes of computer space, but not having those notes and needing to come back to them, that's always way worse than having them and not needing them. So I always suggest take notes throughout the process. Just keep track of your research. It's only going to strengthen your final product. So our fifth tip is to take advantage of visualization methods. Amy, what can we do to use visualization techniques to help us in the thematic approach?

Speaker 2: Well, I mean, I don't know about you, but I'm a very visual person. So it helps me to see the words on a table, a graph, a chart, some pictorial form to think about things differently and see things differently. So for example, you're trying to come up with your themes. You might have some sort of chart or graph or, you know, it just depends on what kind of a learner you are. So if you are a software person and you work well with different software, use that, use PowerPoint or Microsoft Word. It doesn't matter what, whatever makes sense to you. When I was a teacher, I used a software called Inspiration. It's still around. It's very user friendly, and you can either use one of their templates or come up with your own. So let's say you're coming up with your themes. Take your codes, put the codes in some sort of a shape, a circle or square, put it any kind of color you want, and then you'll be able to see, okay, these codes are kind of similar, so I'm going to cluster them and put them into a category. Or conversely, these codes are very different, so we're going to separate them out. But the point is, getting out of just staring at the computer will facilitate a different way of thinking. And that's what we're trying to get at, to get that fresh perspective and those really good, tight, original, compelling themes. And for me, I'm also very much about writing things down. It's something about the act of writing it down. So I have a million sticky notes everywhere. Write down your codes on the stickies, put them up on a bulletin board, put them up on your desk, and just move them around and in different ways. Because the point is, you want to engage with your data with different approaches so that you can come up with the best, most effective, most relevant findings.

Speaker 1: I totally agree with you on using alternative methods. I will say I personally, maybe it's because I come from the quantitative background, do not think in pictures. I think in spreadsheets and those. But I totally use Excel to help me find connections between themes. So I will do things like develop a column that is just my initial codes, develop a second column, which is my sort of refined code. From there, I'll develop some sub themes or potential themes, and then I'll start color coding. I'll start using filtering, sorting. And through that, I'm able to tackle those codes in a different way. That said, I still will take those codes, take those themes, and put them on a mind map. Because as much as I'm a thinker in spreadsheets and hard data, it's really helpful to just have that visualization that's helping me make connections between themes or sub themes that I wouldn't normally interact with. And so I always suggest to clients, take a look at using a methodology that you're not familiar with just to help in the planning and analysis phase. Doesn't need to be pretty. You're not necessarily going to be publishing this, but it's going to be really helpful for you thinking through how things are connected and how to develop your themes.

Speaker 2: Right. I mean, there's a variety of ways to do it. And as a first step, you might even just Google codes, categories, themes. And if you just Google that and click on images, a million things will come up. So that might be a place to just kind of, okay, how do I do this? Get out of your head and just literally type in those words and click on one of those pictures, images, and that will give you a direction of, okay, this pictorial way makes sense to me and just go with it. And don't worry about being right or wrong.

Speaker 1: Yeah, totally agree with that, particularly at the analysis phase. It is that analysis. It's an iterative thinking process. Ideas will change. Ideas will develop. And having that on paper can just really help you out or in a visualization. One other thing to mention is while you probably won't be publishing the thinking that you do in these initial visualizations, sometimes these connections, mind maps, word maps that you generate are the seeds for a visualization or a graphic that you'll be presenting in your final dissertation. So don't just think of it as an analysis section. It's also something that helps you move towards the final presentation of that data as well.

Speaker 2: I've seen some really amazing word clouds and so it's really cool software that extract the most commonly used words in your participants' responses and put them in a really neat visual. And so this is part of your methods as well. You can arrive there and maybe you will just starting out. Maybe you don't worry about it being pretty, but you never know how these things can evolve. Maybe it gets to the point where you want to include this in your paper and then you'll need to worry about making it look more academic. But for starting out, you don't have to worry so much about that.

Speaker 1: So our final tip, tip number six, is to remember that you are becoming the expert and it's your analysis. So you can have some confidence there, but also don't feel that you have to do everything alone. Amy, I've sort of presented two opposites here. How do we put those together?

Speaker 2: Well, it is complicated, right? This whole undertaking of a thesis or dissertation is overwhelming and complicated and time consuming. And by the end of it, you will have done so much reading. But all of that time and by the end, you should have that confidence that you have become an expert in this because you've done all the reading in these different ways and these different topics, different areas, and you've put it all together in some kind of a unique way. And you are that expert on those topics in that way. And that's kind of an exciting part about doing a research paper. So you need to trust yourself and your analysis. In a thematic analysis, you come up with your themes and then in your discussion chapters, it is your job to go beyond the literal data. Your analysis is exactly that, your analysis. And also, I think there are some things that you can and should do to help instill that confidence both in yourself and in your audience, in your committee, and that is getting outside opinions. In qualitative work, there's a few ways to do that. There's something called member checking and that is, okay, so you've generated your codes, the codes have been clustered into categories. And then from there, you've analyzed and abstracted them into themes. And so once you have your final themes, send them back to your participants and get their input. And so they'll say, okay, yes, you got it. You've got the spirit of what I was saying, or they might say, no, that's not what I was saying at all. But that's important that you learn that, okay? You can actually put that into your methods section as well, that you, this is a part of your triangulating of your findings, of your data, supporting your ultimate findings is you did some member checking. You can also do purity briefing, which is enlisting the help of someone who's not involved in your study, but might have an academic background and who can look at your results, look at your findings and say, yes, okay, I can see how you got there. I see this transcript and I can see the logic behind getting from there to your themes. And so having other people agree with you and sort of confirm what you found can help you as you are this emerging scholar and that confidence building that you'll need when you get to the end and you have to defend all of these choices.

Speaker 1: I think that's really helpful. It's also a great way to sort of avoid any bias. A peer debriefer is going to be able to help you pick up if there's any biases that you have in the way that you're analyzing, thinking through and working through those transcripts. But it does come up as well that if you have a strong theme that's counter to the literature and you've gotten a peer debriefer, who's looked at it and says, actually, this totally makes sense. Then you can totally lean into it. It's a valid finding. As long as it's well supported by the literature, having that peer debriefer, you can feel confident in that result, even though it is counter to what was expected or what you set out to find out. So definitely keep that in mind while you are doing this. You are becoming an expert. You are the individual that collected the data. You've analyzed the data. You've read the associated literature. Give yourself the confidence that you deserve. You have put the effort in. Now it's just about writing it in a convincing way and getting that across to your panel and your committee.

Speaker 2: Yes, absolutely. And I mean, think about every researcher, every published article that you read. Those researchers started out at some point as a student who had no published articles or anything and probably felt the same sorts of doubt that we all experience when we're writing our first paper. But now you're becoming, you're taking that leap from student to scholar, becoming the person that other people are going to start citing. And that's really exciting.

Speaker 1: Yeah, it really is. So, Amy, thanks so much for joining us today as we tackled a bit about thematic analysis and some tips and tricks to keep in mind. As always, super great to have you joining us.

Speaker 2: Absolutely. My pleasure.

Speaker 1: All right, so that pretty much wraps up this episode of Grad Coach TV. Remember, if you're looking for more information about thematic analysis, be sure to check out our blog at gradcoach.com forward slash blog. There, you can also get access to our free dissertation and thesis writing mini course, which gives you all the information you need to get started on your research journey. Also, if you're looking for a helping hand with your dissertation or thesis, be sure to check out our one-on-one private coaching service where you can work with one of our friendly coaches just like Amy. For all the information and to book that free consultation, head over to gradcoach.com. ♪♪♪

Friday Morning Drop-in Graduate Writing Group

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Hey there, fellow graduate students! Are you working on a course paper, an article, your thesis, your dissertation, a blog, a story? Do you like conducting your work in a supportive, community environment? If so, our writing group may be just right for you!

In our Friday drop-in session, we will allow you the time to further progress your own writing projects in a number of supportive and non-intimidating ways—​utilizing free-writes, discussion activities, collective and individualized goal setting, and more to help you take manageable steps forward in your work and (hopefully) feel better about the state of your writing after each session. Come join us and help make this group into a supportive, productive community of writers and learners!

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To receive priority consideration for a Fall 2024 writing group, please complete this interest form no later than Sunday, September 15, at 11:59 p.m. CT. Forms received after this date will be considered for additional openings or for our waitlist.

We will notify you about your writing group assignment by Thursday, September 19. Your facilitator will then follow up with a welcome message that includes information about your group’s plan for meeting. In the meantime, if you have any questions about our writing groups, please email Jenny Conrad , Writing Groups Coordinator.

How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | September 2021 (Updated April 2023)

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper . But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

• The purpose  of the methodology chapter
• Why you need to craft this chapter (really) well
• How to write and structure the chapter
• Methodology chapter example
• Essential takeaways

What (exactly) is the methodology chapter?

The methodology chapter is where you outline the philosophical underpinnings of your research and outline the specific methodological choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your study and, just as importantly, why you did it this way.

Importantly, this chapter should comprehensively describe and justify all the methodological choices you made in your study. For example, the approach you took to your research (i.e., qualitative, quantitative or mixed), who  you collected data from (i.e., your sampling strategy), how you collected your data and, of course, how you analysed it. If that sounds a little intimidating, don’t worry – we’ll explain all these methodological choices in this post .

Why is the methodology chapter important?

The methodology chapter plays two important roles in your dissertation or thesis:

Firstly, it demonstrates your understanding of research theory, which is what earns you marks. A flawed research design or methodology would mean flawed results. So, this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable. In other words, it allows other researchers to undertake your study using the same methodological approach, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important in that it allows you to identify and discuss any methodological issues or problems you encountered (i.e., research limitations ), and to explain how you mitigated the impacts of these. Every research project has its limitations , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations . Doing so demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in a bit more detail later in this post, so stay tuned!

Need a helping hand?

How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (e.g., humanities, chemistry or engineering) as well as the university . So, be sure to always check the guidelines provided by your institution for clarity and, if possible, review past dissertations from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences.

Before you start writing, it’s always a good idea to draw up a rough outline to guide your writing. Don’t just start writing without knowing what you’ll discuss where. If you do, you’ll likely end up with a disjointed, ill-flowing narrative . You’ll then waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Do yourself a favour and start with the end in mind .

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on the blog, your methodology needs to align with your research aims, objectives and research questions. Therefore, it’s useful to frontload this component to remind the reader (and yourself!) what you’re trying to achieve.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect. You don’t need a lot of detail here – just a brief outline will do.

Section 2 – The Methodology

The next section of your chapter is where you’ll present the actual methodology. In this section, you need to detail and justify the key methodological choices you’ve made in a logical, intuitive fashion. Importantly, this is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s take a look at the most common components you’ll likely need to cover. 

Methodological Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e., the worldview) regarding how data about a phenomenon should be gathered , analysed and used . The research philosophy will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to get clarity before you make any further methodological choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism . These two sit roughly on opposite sides of the research philosophy spectrum.

Positivism states that the researcher can observe reality objectively and that there is only one reality, which exists independently of the observer. As a consequence, it is quite commonly the underlying research philosophy in quantitative studies and is oftentimes the assumed philosophy in the physical sciences.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many more), but they demonstrate significantly different approaches to research and have a significant impact on all the methodological choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

Methodological Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive .

Inductive research takes a bottom-up approach , where the researcher begins with specific observations or data and then draws general conclusions or theories from those observations. Therefore these studies tend to be exploratory in terms of approach.

Conversely , d eductive research takes a top-down approach , where the researcher starts with a theory or hypothesis and then tests it using specific observations or data. Therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed  approach. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . When you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Methodological Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (also referred to as a research design ). This methodological choice refers to the broader strategy in terms of how you’ll conduct your research, based on the aims of your study.

Several research strategies exist, including experimental , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s take a look at two of these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a specific variable is manipulated). This type of research is undertaken under strict conditions in a controlled, artificial environment (e.g., a laboratory). By having firm control over the environment, experimental research typically allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying causal relationships.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally, this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other methodological choice, it’s essential to justify why you chose the research strategy you did.

Methodological Choice #4 – Time Horizon

The next thing you’ll need to detail in your methodology chapter is the time horizon. There are two options here: cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (cross-sectional) or at multiple points in time (longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor to consider is simply whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple months or even years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Methodological Choice #5 – Sampling Strategy

Next, you’ll need to discuss your sampling strategy . There are two main categories of sampling, probability and non-probability sampling.

Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-random  (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample. In the video below, we explore some of the most common sampling strategies.

Methodological Choice #6 – Data Collection Method

Next up, you’ll need to explain how you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections, as well as your research aims and questions is therefore very important.

Methodological Choice #7 – Data Analysis Methods/Techniques

The final major methodological choice that you need to address is that of analysis techniques . In other words, how you’ll go about analysing your date once you’ve collected it. Here it’s important to be very specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . In the video below, we explain each of these in plain language.

For quantitative studies, you’ll almost always make use of descriptive statistics , and in many cases, you’ll also use inferential statistical techniques (e.g., correlation and regression analysis). In the video below, we unpack some of the core concepts involved in descriptive and inferential statistics.

In this section of your methodology chapter, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . Similarly, qualitative data will often require transcription and perhaps even translation. As always, remember to state both what you did and why you did it.

Section 3 – The Methodological Limitations

With the key methodological choices outlined and justified, the next step is to discuss the limitations of your design. No research methodology is perfect – there will always be trade-offs between the “ideal” methodology and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research theory, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations .

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be a good idea to use a figure to summarise the key decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Methodology Chapter Example

In the video below, we walk you through an example of a high-quality research methodology chapter from a dissertation. We also unpack our free methodology chapter template so that you can see how best to structure your chapter.

Wrapping Up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other component of your research), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

Psst... there’s more!

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

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• Open access
• Published: 26 August 2024

Evaluating panel discussions in ESP classes: an exploration of international medical students’ and ESP instructors’ perspectives through qualitative research

• Elham Nasiri   ORCID: orcid.org/0000-0002-0644-1646 1 &
• Laleh Khojasteh   ORCID: orcid.org/0000-0002-6393-2759 1  

BMC Medical Education volume  24 , Article number:  925 ( 2024 ) Cite this article

65 Accesses

Metrics details

This study investigates the effectiveness of panel discussions, a specific interactive teaching technique where a group of students leads a pre-planned, topic-focused discussion with audience participation, in English for Specific Purposes (ESP) courses for international medical students. This approach aims to simulate professional conference discussions, preparing students for future academic and clinical environments where such skills are crucial. While traditional group presentations foster critical thinking and communication, a gap exists in understanding how medical students perceive the complexities of preparing for and participating in panel discussions within an ESP setting. This qualitative study investigates the perceived advantages and disadvantages of these discussions from the perspectives of both panelists (medical students) and the audience (peers). Additionally, the study explores potential improvements based on insights from ESP instructors. Utilizing a two-phase design involving reflection papers and focus group discussions, data were collected from 46 medical students and three ESP instructors. Thematic analysis revealed that panel discussions offer unique benefits compared to traditional presentations, including enhanced engagement and more dynamic skill development for both panelists and the audience. Panelists reported gains in personal and professional development, including honing critical thinking, communication, and presentation skills. The audience perceived these discussions as engaging learning experiences that fostered critical analysis and information synthesis. However, challenges such as academic workload and concerns about discussion quality were also identified. The study concludes that panel discussions, when implemented effectively, can be a valuable tool for enhancing critical thinking, communication skills, and subject matter knowledge in ESP courses for medical students. These skills are transferable and can benefit students in various academic and professional settings, including future participation in medical conferences. This research provides valuable insights for ESP instructors seeking to integrate panel discussions into their curriculum, ultimately improving student learning outcomes and preparing them for future success in professional communication.

Peer Review reports

Introduction

In the field of medical education, the acquisition and application of effective communication skills are crucial for medical students in today’s global healthcare environment [ 1 ]. This necessitates not only strong English language proficiency but also the ability to present complex medical information clearly and concisely to diverse audiences.

Language courses, especially English for Specific Purposes (ESP) courses for medical students, are highly relevant in today’s globalized healthcare environment [ 2 ]. In non-English speaking countries like Iran, these courses are particularly important as they go beyond mere language instruction to include the development of critical thinking, cultural competence, and professional communication skills [ 3 ]. Proficiency in English is crucial for accessing up-to-date research, participating in international conferences, and communicating with patients and colleagues from diverse backgrounds [ 4 ]. Additionally, ESP courses help medical students understand and use medical terminologies accurately, which is essential for reading technical articles, listening to audio presentations, and giving spoken presentations [ 5 ]. In countries where English is not the primary language, ESP courses ensure that medical professionals can stay current with global advancements and collaborate effectively on an international scale [ 6 ]. Furthermore, these courses support students who may seek to practice medicine abroad, enhancing their career opportunities and professional growth [ 7 ].

Moreover, ESP courses enable medical professionals to communicate effectively with international patients, which is crucial in multicultural societies and for medical tourism, ensuring that patient care is not compromised due to language barriers [ 8 ]. Many medical textbooks, journals, and online resources are available primarily in English, and ESP courses equip medical students with the necessary language skills to access and comprehend these resources, ensuring they are well-informed about the latest medical research and practices [ 9 ].

Additionally, many medical professionals from non-English speaking countries aim to take international certification exams, such as the USMLE or PLAB, which are conducted in English, and ESP courses prepare students for these exams by familiarizing them with the medical terminology and language used in these assessments [ 10 ]. ESP courses also contribute to the professional development of medical students by improving their ability to write research papers, case reports, and other academic documents in English, which is essential for publishing in international journals and contributing to global medical knowledge [ 11 ]. In the increasingly interdisciplinary field of healthcare, collaboration with professionals from other countries is common, and ESP courses facilitate effective communication and collaboration with international colleagues, fostering innovation and the exchange of ideas [ 12 ].

With the rise of telemedicine and online medical consultations, proficiency in English is essential for non-English speaking medical professionals to provide remote healthcare services to international patients, and ESP courses prepare students for these modern medical practices [ 13 ].

Finally, ESP courses often include training on cultural competence, which is crucial for understanding and respecting the cultural backgrounds of patients and colleagues, leading to more empathetic and effective patient care and professional interactions [ 14 ]. Many ESP programs for medical students incorporate group presentations as a vital component of their curriculum, recognizing the positive impact on developing these essential skills [ 15 ].

Group projects in language courses, particularly in ESP for medical students, are highly relevant for several reasons. They provide a collaborative environment that mimics real-world professional settings, where healthcare professionals often work in multidisciplinary teams [ 16 ]. These group activities foster not only language skills but also crucial soft skills such as teamwork, leadership, and interpersonal communication, which are essential in medical practice [ 17 ].

The benefits of group projects over individual projects in language learning are significant. Hartono, Mujiyanto [ 18 ] found that group presentation tasks in ESP courses led to higher self-efficacy development compared to individual tasks. Group projects encourage peer learning, where students can learn from each other’s strengths and compensate for individual weaknesses [ 19 ]. They also provide a supportive environment that can reduce anxiety and increase willingness to communicate in the target language [ 20 ]. However, it is important to note that group projects also come with challenges, such as social loafing and unequal contribution, which need to be managed effectively [ 21 ].

Traditional lecture-based teaching methods, while valuable for knowledge acquisition, may not effectively prepare medical students for the interactive and collaborative nature of real-world healthcare settings [ 22 ]. Panel discussions (hereafter PDs), an interactive teaching technique where a group of students leads a pre-planned, topic-focused discussion with audience participation, are particularly relevant in this context. They simulate professional conference discussions and interdisciplinary team meetings, preparing students for future academic and clinical environments where such skills are crucial [ 23 ].

PDs, also known as moderated discussions or moderated panels, are a specific type of interactive format where a group of experts or stakeholders engage in a facilitated conversation on a particular topic or issue [ 22 ]. In this format, a moderator guides the discussion, encourages active participation from all panelists, and fosters a collaborative environment that promotes constructive dialogue and critical thinking [ 24 ]. The goal is to encourage audience engagement and participation, which can be achieved through various strategies such as asking open-ended questions, encouraging counterpoints and counterarguments, and providing opportunities for audience members to pose questions or share their own experiences [ 25 ]. These discussions can take place in-person or online, and can be designed to accommodate diverse audiences and settings [ 26 ].

In this study, PD is considered a speaking activity where medical students are assigned specific roles to play during the simulation, such as a physician, quality improvement specialist, policymaker, or patient advocate. By taking on these roles, students can gain a better understanding of the diverse perspectives and considerations that come into play in real-world healthcare discussions [ 23 ]. Simulating PDs within ESP courses can be a powerful tool for enhancing medical students’ learning outcomes in multiple areas. This approach improves language proficiency, academic skills, and critical thinking abilities, while also enabling students to communicate effectively with diverse stakeholders in the medical field [ 27 , 28 ].

Theoretical framework

The panel discussions in our study are grounded in the concept of authentic assessment (outlined by Villarroel, Bloxham [ 29 ]), which involves designing tasks that mirror real-life situations and problems. In the context of medical education, this approach is particularly relevant as it prepares students for the complex, multidisciplinary nature of healthcare communication. Realism can be achieved through two means: providing a realistic context that describes and delivers a frame for the problem to be solved and creating tasks that are similar to those faced in real and/or professional life [ 30 ]. In our study, the PDs provide a realistic context by simulating scenarios where medical students are required to discuss and present complex medical topics in a professional setting, mirroring the types of interactions they will encounter in their future careers.

The task of participating in PDs also involves cognitive challenge, as students are required to think critically about complex medical topics, analyze information, and communicate their findings effectively. This type of task aims to generate processes of problem-solving, application of knowledge, and decision-making that correspond to the development of cognitive and metacognitive skills [ 23 ]. For medical students, these skills are crucial in developing clinical reasoning and effective patient communication. The PDs encourage students to go beyond the textual reproduction of fragmented and low-order content and move towards understanding, establishing relationships between new ideas and previous knowledge, linking theoretical concepts with everyday experience, deriving conclusions from the analysis of data, and examining both the logic of the arguments present in the theory and its practical scope [ 24 , 25 , 27 ].

Furthermore, the evaluative judgment aspect of our study is critical in helping students develop criteria and standards about what a good performance means in medical communication. This involves students judging their own performance and regulating their own learning [ 31 ]. In the context of panel discussions, students reflect on their own work, compare it with desired standards, and seek feedback from peers and instructors. By doing so, students can develop a sense of what constitutes good performance in medical communication and what areas need improvement [ 32 ]. Boud, Lawson and Thompson [ 33 ] argue that students need to build a precise judgment about the quality of their work and calibrate these judgments in the light of evidence. This skill is particularly important for future medical professionals who will need to continually assess and improve their communication skills throughout their careers.

The theoretical framework presented above highlights the importance of authentic learning experiences in medical education. By drawing on the benefits of group work and panel discussions, university instructor-researchers aimed to provide medical students with a unique opportunity to engage with complex cases and develop their communication and collaboration skills. As noted by Suryanarayana [ 34 ], authentic learning experiences can lead to deeper learning and improved retention. Considering the advantages of group work in promoting collaborative problem-solving and language development, the instructor-researchers designed a panel discussion task that simulates real-world scenarios, where students can work together to analyze complex cases, share knowledge, and present their findings to a simulated audience.

While previous studies have highlighted the benefits of interactive learning experiences and critical thinking skills in medical education, a research gap remains in understanding how medical students perceive the relevance of PDs in ESP courses. This study aims to address this gap by investigating medical students’ perceptions of PD tasks in ESP courses and how these perceptions relate to their language proficiency, critical thinking skills, and ability to communicate effectively with diverse stakeholders in the medical field. This understanding can inform best practices in medical education, contributing to the development of more effective communication skills for future healthcare professionals worldwide [ 23 ]. The research questions guiding this study are:

What are the perceived advantages of PDs from the perspectives of panelists and the audience?

What are the perceived disadvantages of PDs from the perspectives of panelists and the audience?

How can PDs be improved for panelists and the audience based on the insights of ESP instructors?

Methodology

Aim and design.

For this study, a two-phase qualitative design was employed to gain an understanding of the advantages and disadvantages of PDs from the perspectives of both student panelists and the audience (Phase 1) and to acquire an in-depth understanding of the suggested strategies provided by experts to enhance PPs for future students (Phase 2).

Participants and context of the study

This study was conducted in two phases (Fig.  1 ) at Shiraz University of Medical Sciences (SUMS), Shiraz, Iran.

Participants of the study in two phases

In the first phase, the student participants were 46 non-native speakers of English and international students who studied medicine at SUMS. Their demographic characteristics can be seen in Table  1 .

These students were purposefully selected because they were the only SUMS international students who had taken the ESP (English for Specific Purposes) course. The number of international students attending SUMS is indeed limited. Each year, a different batch of international students joins the university. They progress through a sequence of English courses, starting with General English 1 and 2, followed by the ESP course, and concluding with academic writing. At the time of data collection, the students included in the study were the only international students enrolled in the ESP course. This mandatory 3-unit course is designed to enhance their language and communication skills specifically tailored to their profession. As a part of the Medicine major curriculum, this course aims to improve their English language proficiency in areas relevant to medicine, such as understanding medical terminology, comprehending original medicine texts, discussing clinical cases, and communicating with patients, colleagues, and other healthcare professionals.

Throughout the course, students engage in various interactive activities, such as group discussions, role-playing exercises, and case studies, to develop their practical communication skills. In this course, medical students receive four marks out of 20 for their oral presentations, while the remaining marks are allocated to their written midterm and final exams. From the beginning of the course, they are briefed about PDs, and they are shown two YouTube-downloaded videos about PDs at medical conferences, a popular format for discussing and sharing knowledge, research findings, and expert opinions on various medical topics.

For the second phase of the study, a specific group of participants was purposefully selected. This group consisted of three faculty members from SUMS English department who had extensive experience attending numerous conferences at national and international levels, particularly in the medical field, as well as working as translators and interpreters in medical congresses. Over the course of ten years, they also gained considerable experience in PDs. They were invited to discuss strategies helpful for medical students with PDs.

Panel discussion activity design and implementation

When preparing for a PD session, medical students received comprehensive guidance on understanding the roles and responsibilities of each panel member. This guidance was aimed at ensuring that each participant was well-prepared and understood their specific role in the discussion.

Moderators should play a crucial role in steering the conversation. They are responsible for ensuring that all panelists have an opportunity to contribute and that the audience is engaged effectively. Specific tasks include preparing opening remarks, introducing panelists, and crafting transition questions to facilitate smooth topic transitions. The moderators should also manage the time to ensure balanced participation and encourage active audience involvement.

Panelists are expected to be subject matter experts who bring valuable insights and opinions to the discussion. They are advised to conduct thorough research on the topic and prepare concise talking points. Panelists are encouraged to draw from their medical knowledge and relevant experiences, share evidence-based information, and engage with other panelists’ points through active listening and thoughtful responses.

The audience plays an active role in the PDs. They are encouraged to participate by asking questions, sharing relevant experiences, and contributing to the dialogue. To facilitate this, students are advised to take notes during the discussion and think of questions or comments they can contribute during the Q&A segment.

For this special course, medical students were advised to choose topics either from their ESP textbook or consider current medical trends, emerging research, and pressing issues in their field. Examples included breast cancer, COVID-19, and controversies in gene therapy. The selection process involved brainstorming sessions and consultation with the course instructor to ensure relevance and appropriateness.

To accommodate the PD sessions within the course structure, students were allowed to start their PD sessions voluntarily from the second week. However, to maintain a balance between peer-led discussions and regular course content, only one PD was held weekly. This approach enabled the ESP lecturer to deliver comprehensive content while also allowing students to engage in these interactive sessions.

A basic time structure was suggested for each PD (Fig.  2 ):

Time allocation for panel discussion stages in minutes

To ensure the smooth running of the course and maintain momentum, students were informed that they could cancel their PD session only once. In such cases, they were required to notify the lecturer and other students via the class Telegram channel to facilitate rescheduling and minimize disruptions. This provision was essential in promoting a sense of community among students and maintaining the course’s continuity.

Research tools and data collection

The study utilized various tools to gather and analyze data from participants and experts, ensuring a comprehensive understanding of the research topic.

Reflection papers

In Phase 1 of the study, 46 medical students detailed their perceptions of the advantages and disadvantages of panel discussions from dual perspectives: as panelists (presenters) and as audience members (peers).

Participants were given clear instructions and a 45-minute time frame to complete the reflection task. With approximately 80% of the international language students being native English speakers and the rest fluent in English, the researchers deemed this time allocation reasonable. The questions and instructions were straightforward, facilitating quick comprehension. It was estimated that native English speakers would need about 30 min to complete the task, while non-native speakers might require an extra 15 min for clarity and expression. This time frame aimed to allow students to respond thoughtfully without feeling rushed. Additionally, students could request more time if needed.

Focus group discussion

In phase 2 of the study, a focus group discussion was conducted with three expert participants. The purpose of the focus group was to gather insights from expert participants, specifically ESP (English for Specific Purposes) instructors, on how presentation dynamics can be improved for both panelists and the audience.

According to Colton and Covert [ 35 ], focus groups are useful for obtaining detailed input from experts. The appropriate size of a focus group is determined by the study’s scope and available resources [ 36 ]. Morgan [ 37 ] suggests that small focus groups are suitable for complex topics where specialist participants might feel frustrated if not allowed to express themselves fully.

The choice of a focus group over individual interviews was based on several factors. First, the exploratory nature of the study made focus groups ideal for interactive discussions, generating new ideas and in-depth insights [ 36 ]. Second, while focus groups usually involve larger groups, they can effectively accommodate a limited number of experts with extensive knowledge [ 37 ]. Third, the focus group format fostered a more open environment for idea exchange, allowing participants to engage dynamically [ 36 ]. Lastly, conducting a focus group was more time- and resource-efficient than scheduling three separate interviews [ 36 ].

Data analysis

The first phase of the study involved a thorough examination of the data related to the research inquiries using thematic analysis. This method was chosen for its effectiveness in uncovering latent patterns from a bottom-up perspective, facilitating a comprehensive understanding of complex educational phenomena [ 38 ]. The researchers first familiarized themselves with the data by repeatedly reviewing the reflection papers written by the medical students. Next, an initial round of coding was independently conducted to identify significant data segments and generate preliminary codes that reflected the students’ perceptions of the advantages and disadvantages of presentation dynamics PDs from both the presenter and audience viewpoints [ 38 ].

The analysis of the reflection papers began with the two researchers coding a subset of five papers independently, adhering to a structured qualitative coding protocol [ 39 ]. They convened afterward to compare their initial codes and address any discrepancies. Through discussion, they reached an agreement on the codes, which were then analyzed, organized into categories and themes, and the frequency of each code was recorded [ 38 ].

After coding the initial five papers, the researchers continued to code the remaining 41 reflection paper transcripts in batches of ten, meeting after each batch to review their coding, resolve any inconsistencies, and refine the coding framework as needed. This iterative process, characterized by independent coding, joint reviews, and consensus-building, helped the researchers establish a robust and reliable coding approach consistently applied to the complete dataset [ 40 ]. Once all 46 reflection paper transcripts were coded, the researchers conducted a final review and discussion to ensure accurate analysis. They extracted relevant excerpts corresponding to the identified themes and sub-themes from the transcripts to provide detailed explanations and support for their findings [ 38 ]. This multi-step approach of separate initial coding, collaborative review, and frequency analysis enhanced the credibility and transparency of the qualitative data analysis.

To ensure the trustworthiness of the data collected in this study, the researchers adhered to the Guba and Lincoln standards of scientific accuracy in qualitative research, which encompass credibility, confirmability, dependability, and transferability [ 41 ] (Table  2 ).

The analysis of the focus group data obtained from experts followed the same rigorous procedure applied to the student participants’ data. Thematic analysis was employed to examine the experts’ perspectives, maintaining consistency in the analytical approach across both phases of the study. The researchers familiarized themselves with the focus group transcript, conducted independent preliminary coding, and then collaboratively refined the codes. These codes were subsequently organized into categories and themes, with the frequency of each code recorded. The researchers engaged in thorough discussions to ensure agreement on the final themes and sub-themes. Relevant excerpts from the focus group transcript were extracted to provide rich, detailed explanations of each theme, thereby ensuring a comprehensive and accurate analysis of the experts’ insights.

1. What are the advantages of PDs from the perspective of panelists and the audience?

The analysis of the advantages of PDs from the perspectives of both panelists and audience members revealed several key themes and categories. Tables  2 and 3 present the frequency and percentage of responses for each code within these categories.

From the panelists’ perspective (Table  3 ), the overarching theme was “Personal and Professional Development.” The most frequently reported advantage was knowledge sharing (93.5%), followed closely by increased confidence (91.3%) and the importance of interaction in presentations (91.3%).

Notably, all categories within this theme had at least one code mentioned by over 80% of participants, indicating a broad range of perceived benefits. The category of “Effective teamwork and communication” was particularly prominent, with collaboration (89.1%) and knowledge sharing (93.5%) being among the most frequently cited advantages. This suggests that PDs are perceived as valuable tools for fostering interpersonal skills and collective learning. In the “Language mastery” category, increased confidence (91.3%) and better retention of key concepts (87.0%) were highlighted, indicating that PDs are seen as effective for both language and content learning.

The audience perspective (Table  4 ), encapsulated under the theme “Enriching Learning Experience,” showed similarly high frequencies across all categories.

The most frequently mentioned advantage was exposure to diverse speakers (93.5%), closely followed by the range of topics covered (91.3%) and increased audience interest (91.3%). The “Broadening perspectives” category was particularly rich, with all codes mentioned by over 70% of participants. This suggests that audience members perceive PDs as valuable opportunities for expanding their knowledge and viewpoints. In the “Language practice” category, the opportunity to practice language skills (89.1%) was the most frequently cited advantage, indicating that even as audience members, students perceive significant language learning benefits.

Comparing the two perspectives reveals several interesting patterns:

High overall engagement: Both panelists and audience members reported high frequencies across all categories, suggesting that PDs are perceived as beneficial regardless of the role played.

Language benefits: While panelists emphasized increased confidence (91.3%) and better retention of concepts (87.0%), audience members highlighted opportunities for language practice (89.1%). This indicates that PDs offer complementary language learning benefits for both roles.

Interactive learning: The importance of interaction was highly rated by panelists (91.3%), while increased audience interest was similarly valued by the audience (91.3%). This suggests that PDs are perceived as an engaging, interactive learning method from both perspectives.

Professional development: Panelists uniquely emphasized professional growth aspects such as experiential learning (84.8%) and real-world application (80.4%). These were not directly mirrored in the audience perspective, suggesting that active participation in PDs may offer additional professional development benefits.

Broadening horizons: Both groups highly valued the diversity aspect of PDs. Panelists appreciated diversity and open-mindedness (80.4%), while audience members valued diverse speakers (93.5%) and a range of topics (91.3%).

2. What are the disadvantages of PDs from the perspective of panelists and the audience?

The analysis of the disadvantages of panel discussions (PDs) from the perspectives of both panelists and audience members revealed several key themes and categories. Tables  4 and 5 present the frequency and percentage of responses for each code within these categories.

From the panelists’ perspective (Table  5 ), the theme “Drawbacks of PDs” was divided into two main categories: “Academic Workload Challenges” and “Coordination Challenges.” The most frequently reported disadvantage was long preparation (87.0%), followed by significant practice needed (82.6%) and the time-consuming nature of PDs (80.4%). These findings suggest that the primary concern for panelists is the additional workload that PDs impose on their already demanding academic schedules. The “Coordination Challenges” category, while less prominent than workload issues, still presented significant concerns. Diverse panel skills (78.3%) and finding suitable panelists (73.9%) were the most frequently cited issues in this category, indicating that team dynamics and composition are notable challenges for panelists.

The audience perspective (Table  6 ), encapsulated under the theme “Drawbacks of PDs,” was divided into two main categories: “Time-related Issues” and “Interaction and Engagement Issues.” In the “Time-related Issues” category, the most frequently mentioned disadvantage was the inefficient use of time (65.2%), followed by the perception of PDs as too long and boring (60.9%). Notably, 56.5% of respondents found PDs stressful due to overwhelming workload from other studies, and 52.2% considered them not very useful during exam time. The “Interaction and Engagement Issues” category revealed more diverse concerns. The most frequently mentioned disadvantage was the repetitive format (82.6%), followed by limited engagement with the audience (78.3%) and the perception of PDs as boring (73.9%). The audience also noted issues related to the panelists’ preparation and coordination, such as “Not practiced and natural” (67.4%) and “Coordination and Interaction Issues” (71.7%), suggesting that the challenges faced by panelists directly impact the audience’s experience.

Workload concerns: Both panelists and audience members highlighted time-related issues. For panelists, this manifested as long preparation times (87.0%) and difficulty balancing with other studies (76.1%). For the audience, it appeared as perceptions of inefficient use of time (65.2%) and stress due to overwhelming workload from other studies (56.5%).

Engagement issues: While panelists focused on preparation and coordination challenges, the audience emphasized the quality of the discussion and engagement. This suggests a potential mismatch between the efforts of panelists and the expectations of the audience.

Boredom and repetition: The audience frequently mentioned boredom (73.9%) and repetitive format (82.6%) as issues, which weren’t directly mirrored in the panelists’ responses. This indicates that while panelists may be focused on content preparation, the audience is more concerned with the delivery and variety of the presentation format.

Coordination challenges: Both groups noted coordination issues, but from different perspectives. Panelists struggled with team dynamics and finding suitable co-presenters, while the audience observed these challenges manifesting as unnatural or unpracticed presentations.

Academic pressure: Both groups acknowledged the strain PDs put on their academic lives, with panelists viewing it as a burden (65.2%) and the audience finding it less useful during exam times (52.2%).

3. How can PDs be improved for panelists and the audience from the experts’ point of view?

The presentation of data for this research question differs from the previous two due to the unique nature of the information gathered. Unlike the quantifiable student responses in earlier questions, this data stems from expert opinions and a reflection discussion session, focusing on qualitative recommendations for improvement rather than frequency of responses (Braun & Clarke, 2006). The complexity and interconnectedness of expert suggestions, coupled with the integration of supporting literature, necessitate a more narrative approach (Creswell & Poth, 2018). This format allows for a richer exploration of the context behind each recommendation and its potential implications (Patton, 2015). Furthermore, the exploratory nature of this question, aimed at generating ideas for improvement rather than measuring prevalence of opinions, is better served by a detailed, descriptive presentation (Merriam & Tisdell, 2016). This approach enables a more nuanced understanding of how PDs can be enhanced, aligning closely with the “how” nature of the research question and providing valuable insights for potential implementation (Yin, 2018).

The experts provided several suggestions to address the challenges faced by students in panel discussions (PDs) and improve the experience for both panelists and the audience. Their recommendations focused on six key areas: time management and workload, preparation and skill development, engagement and interactivity, technological integration, collaboration and communication, and institutional support.

To address the issue of time management and heavy workload, one expert suggested teaching students to “ break down the task to tackle the time-consuming nature of panel discussions and balance it with other studies .” This approach aims to help students manage the extensive preparation time required for PDs without compromising their other academic responsibilities. Another expert emphasized “ enhancing medical students’ abilities to prioritize tasks , allocate resources efficiently , and optimize their workflow to achieve their goals effectively .” These skills were seen as crucial not only for PD preparation but also for overall academic success and future professional practice.

Recognizing the challenges of long preparation times and the perception of PDs being burdensome, an expert proposed “ the implementation of interactive training sessions for panelists .” These sessions were suggested to enhance coordination skills and improve the ability of group presenters to engage with the audience effectively. The expert emphasized that such training could help students view PDs as valuable learning experiences rather than additional burdens, potentially increasing their motivation and engagement in the process.

To combat issues of limited engagement and perceived boredom, experts recommended increasing engagement opportunities for the audience through interactive elements like audience participation and group discussions. They suggested that this could transform PDs from passive listening experiences to active learning opportunities. One expert suggested “ optimizing time management and restructuring the format of panel discussions ” to address inefficiency during sessions. This restructuring could involve shorter presentation segments interspersed with interactive elements to maintain audience attention and engagement.

An innovative solution proposed by one expert was “ using ChatGPT to prepare for PDs by streamlining scenario presentation preparation and role allocation. ” The experts collectively discussed the potential of AI to assist medical students in reducing their workload and saving time in preparing scenario presentations and allocating roles in panel discussions. They noted that AI could help generate initial content drafts, suggest role distributions based on individual strengths, and even provide practice questions for panelists, significantly reducing preparation time while maintaining quality.

Two experts emphasized the importance of enhancing collaboration and communication among panelists to address issues related to diverse panel skills and coordination challenges. They suggested establishing clear communication channels and guidelines to improve coordination and ensure a cohesive presentation. This could involve creating structured team roles, setting clear expectations for each panelist, and implementing regular check-ins during the preparation process to ensure all team members are aligned and progressing.

All experts were in agreement that improving PDs would not be possible “ if nothing is done by the university administration to reduce the ESP class size for international students .” They believed that large class sizes in ESP or EFL classes could negatively influence group oral presentations, hindering language development and leading to uneven participation. The experts suggested that smaller class sizes would allow for more individualized attention, increased speaking opportunities for each student, and more effective feedback mechanisms, all of which are crucial for developing strong presentation skills in a second language.

Research question 1: what are the advantages of PDs from the perspective of panelists and the audience?

The results of this study reveal significant advantages of PDs for both panelists and audience members in the context of medical education. These findings align with and expand upon previous research in the field of educational presentations and language learning.

Personal and professional development for panelists

The high frequency of reported benefits in the “Personal and Professional Development” theme for panelists aligns with several previous studies. The emphasis on language mastery, particularly increased confidence (91.3%) and better retention of key concepts (87.0%), supports the findings of Hartono, Mujiyanto [ 42 ], Gedamu and Gezahegn [ 15 ], Li [ 43 ], who all highlighted the importance of language practice in English oral presentations. However, our results show a more comprehensive range of benefits, including professional growth aspects like experiential learning (84.8%) and real-world application (80.4%), which were not as prominently featured in these earlier studies.

Interestingly, our findings partially contrast with Chou [ 44 ] study, which found that while group oral presentations had the greatest influence on improving students’ speaking ability, individual presentations led to more frequent use of metacognitive, retrieval, and rehearsal strategies. Our results suggest that PDs, despite being group activities, still provide significant benefits in these areas, possibly due to the collaborative nature of preparation and the individual responsibility each panelist bears. The high frequency of knowledge sharing (93.5%) and collaboration (89.1%) in our study supports Harris, Jones and Huffman [ 45 ] emphasis on the importance of group dynamics and varied perspectives in educational settings. However, our study provides more quantitative evidence for these benefits in the specific context of PDs.

Enriching learning experience for the audience

The audience perspective in our study reveals a rich learning experience, with high frequencies across all categories. This aligns with Agustina [ 46 ] findings in business English classes, where presentations led to improvements in all four language skills. However, our study extends these findings by demonstrating that even passive participation as an audience member can lead to significant perceived benefits in language practice (89.1%) and broadening perspectives (93.5% for diverse speakers). The high value placed on diverse speakers (93.5%) and range of topics (91.3%) by the audience supports the notion of PDs as a tool for expanding knowledge and viewpoints. This aligns with the concept of situated learning experiences leading to deeper understanding in EFL classes, as suggested by Li [ 43 ] and others [ 18 , 31 ]. However, our study provides more specific evidence for how this occurs in the context of PDs.

Interactive learning and engagement

Both panelists and audience members in our study highly valued the interactive aspects of PDs, with the importance of interaction rated at 91.3% by panelists and increased audience interest at 91.3% by the audience. This strong emphasis on interactivity aligns with Azizi and Farid Khafaga [ 19 ] study on the benefits of dynamic assessment and dialogic learning contexts. However, our study provides more detailed insights into how this interactivity is perceived and valued by both presenters and audience members in PDs.

Professional growth and real-world application

The emphasis on professional growth through PDs, particularly for panelists, supports Li’s [ 43 ] assertion about the power of oral presentations as situated learning experiences. Our findings provide more specific evidence for how PDs contribute to professional development, with high frequencies reported for experiential learning (84.8%) and real-world application (80.4%). This suggests that PDs may be particularly effective in bridging the gap between academic learning and professional practice in medical education.

Research question 2: what are the disadvantages of pds from the perspective of panelists and the audience?

Academic workload challenges for panelists.

The high frequency of reported challenges in the “Academic Workload Challenges” category for panelists aligns with several previous studies in medical education [ 47 , 48 , 49 ]. The emphasis on long preparation (87.0%), significant practice needed (82.6%), and the time-consuming nature of PDs (80.4%) supports the findings of Johnson et al. [ 24 ], who noted that while learners appreciate debate-style journal clubs in health professional education, they require additional time commitment. This is further corroborated by Nowak, Speed and Vuk [ 50 ], who found that intensive learning activities in medical education, while beneficial, can be time-consuming for students.

Perceived value of pds relative to time investment

While a significant portion of the audience (65.2%) perceived PDs as an inefficient use of time, the high frequency of engagement-related concerns (82.6% for repetitive format, 78.3% for limited engagement) suggests that the perceived lack of value may be more closely tied to the quality of the experience rather than just the time investment. This aligns with Dyhrberg O’Neill [ 27 ] findings on debate-based oral exams, where students perceived value despite the time-intensive nature of the activity. However, our results indicate a more pronounced concern about the return on time investment in PDs. This discrepancy might be addressed through innovative approaches to PD design and implementation, such as those proposed by Almazyad et al. [ 22 ], who suggested using AI tools to enhance expert panel discussions and potentially improve efficiency.

Coordination challenges for panelists

The challenges related to coordination in medical education, such as diverse panel skills (78.3%) and finding suitable panelists (73.9%), align with previous research on teamwork in higher education [ 21 ]. Our findings support the concept of the free-rider effect discussed by Hall and Buzwell [ 21 ], who explored reasons for non-contribution in group projects beyond social loafing. This is further elaborated by Mehmood, Memon and Ali [ 51 ], who proposed that individuals may not contribute their fair share due to various factors including poor communication skills or language barriers, which is particularly relevant in medical education where clear communication is crucial [ 52 ]. Comparing our results to other collaborative learning contexts in medical education, Rodríguez-Sedano, Conde and Fernández-Llamas [ 53 ] measured teamwork competence development in a multidisciplinary project-based learning environment. They found that while teamwork skills improved over time, initial coordination challenges were significant. This aligns with our findings on the difficulties of coordinating diverse panel skills and opinions in medical education settings.

Our results also resonate with Chou’s [ 44 ] study comparing group and individual oral presentations, which found that group presenters often had a limited understanding of the overall content. This is supported by Wilson, Ho and Brookes [ 54 ], who examined student perceptions of teamwork in undergraduate science degrees, highlighting the challenges and benefits of collaborative work, which are equally applicable in medical education [ 52 ].

Quality of discussions and perception for the audience

The audience perspective in our study reveals significant concerns about the quality and engagement of PDs in medical education. The high frequency of issues such as repetitive format (82.6%) and limited engagement with the audience (78.3%) aligns with Parmar and Bickmore [ 55 ] findings on the importance of addressing individual audience members and gathering feedback. This is further supported by Nurakhir et al. [ 25 ], who explored students’ views on classroom debates as a strategy to enhance critical thinking and oral communication skills in nursing education, which shares similarities with medical education. Comparing our results to other interactive learning methods in medical education, Jones et al. [ 26 ] reviewed the use of journal clubs and book clubs in pharmacy education. They found that while these methods enhanced engagement, they also faced challenges in maintaining student interest over time, similar to the boredom issues reported in our study of PDs in medical education. The perception of PDs as boring (73.9%) and not very useful during exam time (52.2%) supports previous research on the stress and pressure experienced by medical students [ 48 , 49 ]. Grieve et al. [ 20 ] specifically examined student fears of oral presentations and public speaking in higher education, which provides context for the anxiety and disengagement observed in our study of medical education. Interestingly, Bhuvaneshwari et al. [ 23 ] found positive impacts of panel discussions in educating medical students on specific modules. This contrasts with our findings and suggests that the effectiveness of PDs in medical education may vary depending on the specific context and implementation.

Comparative analysis and future directions

Our study provides a unique comparative analysis of the challenges faced by both panelists and audience members in medical education. The alignment of concerns around workload and time management between the two groups suggests that these are overarching issues in the implementation of PDs in medical curricula. This is consistent with the findings of Pasandín et al. [ 56 ], who examined cooperative oral presentations in higher education and their impact on both technical and soft skills, which are crucial in medical education [ 52 ]. The mismatch between panelist efforts and audience expectations revealed in our study is a novel finding that warrants further investigation in medical education. This disparity could be related to the self-efficacy beliefs of presenters, as explored by Gedamu and Gezahegn [ 15 ] in their study of TEFL trainees’ attitudes towards academic oral presentations, which may have parallels in medical education. Looking forward, innovative approaches could address some of the challenges identified in medical education. Almazyad et al. [ 22 ] proposed using AI tools like ChatGPT to enhance expert panel discussions in pediatric palliative care, which could potentially address some of the preparation and engagement issues identified in our study of medical education. Additionally, Ragupathi and Lee [ 57 ] discussed the role of rubrics in higher education, which could provide clearer expectations and feedback for both panelists and audience members in PDs within medical education.

Research question 3: how can PDs be improved for panelists and the audience from the experts’ point of view?

The expert suggestions for improving PDs address several key challenges identified in previous research on academic presentations and student workload management. These recommendations align with current trends in educational technology and pedagogical approaches, while also considering the unique needs of medical students.

The emphasis on time management and workload reduction strategies echoes findings from previous studies on medical student stress and academic performance. Nowak, Speed and Vuk [ 50 ] found that medical students often struggle with the fast-paced nature of their courses, which can lead to reduced motivation and superficial learning approaches. The experts’ suggestions for task breakdown and prioritization align with Rabbi and Islam [ 58 ] recommendations for reducing workload stress through effective assignment prioritization. Additionally, Popa et al. [ 59 ] highlight the importance of acceptance and planning in stress management for medical students, supporting the experts’ focus on these areas.

The proposed implementation of interactive training sessions for panelists addresses the need for enhanced presentation skills in professional contexts, a concern highlighted by several researchers [ 17 , 60 ]. This aligns with Grieve et al. [ 20 ] findings on student fears of oral presentations and public speaking in higher education, emphasizing the need for targeted training. The focus on interactive elements and audience engagement also reflects current trends in active learning pedagogies, as demonstrated by Pasandín et al. [ 56 ] in their study on cooperative oral presentations in engineering education.

The innovative suggestion to use AI tools like ChatGPT for PD preparation represents a novel approach to leveraging technology in education. This aligns with recent research on the potential of AI in scientific research, such as the study by Almazyad et al. [ 22 ], which highlighted the benefits of AI in supporting various educational tasks. However, it is important to consider potential ethical implications and ensure that AI use complements rather than replaces critical thinking and creativity.

The experts’ emphasis on enhancing collaboration and communication among panelists addresses issues identified in previous research on teamwork in higher education. Rodríguez-Sedano, Conde and Fernández-Llamas [ 53 ] noted the importance of measuring teamwork competence development in project-based learning environments. The suggested strategies for improving coordination align with best practices in collaborative learning, as demonstrated by Romero-Yesa et al. [ 61 ] in their qualitative assessment of challenge-based learning and teamwork in electronics programs.

The unanimous agreement on the need to reduce ESP class sizes for international students reflects ongoing concerns about the impact of large classes on language learning and student engagement. This aligns with research by Li [ 3 ] on issues in developing EFL learners’ oral English communication skills. Bosco et al. [ 62 ] further highlight the challenges of teaching and learning ESP in mixed classes, supporting the experts’ recommendation for smaller class sizes. Qiao, Xu and bin Ahmad [ 63 ] also emphasize the implementation challenges for ESP formative assessment in large classes, further justifying the need for reduced class sizes.

These expert recommendations provide a comprehensive approach to improving PDs, addressing not only the immediate challenges of preparation and delivery but also broader issues of student engagement, workload management, and institutional support. By implementing these suggestions, universities could potentially transform PDs from perceived burdens into valuable learning experiences that enhance both academic and professional skills. This aligns with Kho and Ting [ 64 ] systematic review on overcoming oral presentation anxiety among tertiary ESL/EFL students, which emphasizes the importance of addressing both challenges and strategies in improving presentation skills.

This study has shed light on the complex challenges associated with PDs in medical education, revealing a nuanced interplay between the experiences of panelists and audience members. The findings underscore the need for a holistic approach to implementing PDs that addresses both the academic workload concerns and the quality of engagement.

Our findings both support and extend previous research on the challenges of oral presentations and group work in medical education settings. The high frequencies of perceived challenges across multiple categories for both panelists and audience members suggest that while PDs may offer benefits, they also present significant obstacles that need to be addressed in medical education. These results highlight the need for careful consideration in the implementation of PDs in medical education, with particular attention to workload management, coordination strategies, and audience engagement techniques. Future research could focus on developing and testing interventions to mitigate these challenges while preserving the potential benefits of PDs in medical education.

Moving forward, medical educators should consider innovative approaches to mitigate these challenges. This may include:

Integrating time management and stress coping strategies into the PD preparation process [ 59 ].

Exploring the use of AI tools to streamline preparation and enhance engagement [ 22 ].

Developing clear rubrics and expectations for both panelists and audience members [ 57 ].

Incorporating interactive elements to maintain audience interest and participation [ 25 ].

Limitations and future research

One limitation of this study is that it focused on a specific population of medical students, which may limit the generalizability of the findings to other student populations. Additionally, the study relied on self-report data from panelists and audience members, which may introduce bias and affect the validity of the results. Future research could explore the effectiveness of PDs in different educational contexts and student populations to provide a more comprehensive understanding of the benefits and challenges of panel discussions.

Future research should focus on evaluating the effectiveness of these interventions and exploring how PDs can be tailored to the unique demands of medical education. By addressing the identified challenges, PDs have the potential to become a more valuable and engaging component of medical curricula, fostering both academic and professional development. Ultimately, the goal should be to transform PDs from perceived burdens into opportunities for meaningful learning and skill development, aligning with the evolving needs of medical education in the 21st century.

Future research could also examine the long-term impact of PDs on panelists’ language skills, teamwork, and communication abilities. Additionally, exploring the effectiveness of different training methods and tools, such as AI technology, in improving coordination skills and reducing workload stress for panelists could provide valuable insights for educators and administrators. Further research could also investigate the role of class size and audience engagement in enhancing the overall effectiveness of PDs in higher education settings. By addressing these gaps in the literature, future research can contribute to the ongoing development and improvement of PDs as a valuable learning tool for students in higher education.

However, it is important to note that implementing these changes may require significant institutional resources and a shift in pedagogical approaches. Future research could focus on piloting these recommendations and evaluating their effectiveness in improving student outcomes and experiences with PDs.

Data availability

We confirm that the data supporting the findings are available within this article. Raw data supporting this study’s findings are available from the corresponding author, upon request.

Abbreviations

Artificial Intelligence

English as a Foreign Language

English for Specific Purposes

Panel Discussion

Shiraz University of Medical Sciences

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L.KH was involved in writing the proposal, reviewing the text, analyzing the data, and writing the manuscript. E. N was involvedin designing the research and collecting and analyzing the data. Both authors have reviewed and approved the final version of the manuscript.

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Nasiri, E., Khojasteh, L. Evaluating panel discussions in ESP classes: an exploration of international medical students’ and ESP instructors’ perspectives through qualitative research. BMC Med Educ 24 , 925 (2024). https://doi.org/10.1186/s12909-024-05911-3

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Received : 08 May 2024

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DOI : https://doi.org/10.1186/s12909-024-05911-3

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