research methods presentation example

Princeton Correspondents on Undergraduate Research

How to Make a Successful Research Presentation

Turning a research paper into a visual presentation is difficult; there are pitfalls, and navigating the path to a brief, informative presentation takes time and practice. As a TA for GEO/WRI 201: Methods in Data Analysis & Scientific Writing this past fall, I saw how this process works from an instructor’s standpoint. I’ve presented my own research before, but helping others present theirs taught me a bit more about the process. Here are some tips I learned that may help you with your next research presentation:

More is more

In general, your presentation will always benefit from more practice, more feedback, and more revision. By practicing in front of friends, you can get comfortable with presenting your work while receiving feedback. It is hard to know how to revise your presentation if you never practice. If you are presenting to a general audience, getting feedback from someone outside of your discipline is crucial. Terms and ideas that seem intuitive to you may be completely foreign to someone else, and your well-crafted presentation could fall flat.

Less is more

Limit the scope of your presentation, the number of slides, and the text on each slide. In my experience, text works well for organizing slides, orienting the audience to key terms, and annotating important figures–not for explaining complex ideas. Having fewer slides is usually better as well. In general, about one slide per minute of presentation is an appropriate budget. Too many slides is usually a sign that your topic is too broad.

Limit the scope of your presentation

Don’t present your paper. Presentations are usually around 10 min long. You will not have time to explain all of the research you did in a semester (or a year!) in such a short span of time. Instead, focus on the highlight(s). Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

You will not have time to explain all of the research you did. Instead, focus on the highlights. Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

Craft a compelling research narrative

After identifying the focused research question, walk your audience through your research as if it were a story. Presentations with strong narrative arcs are clear, captivating, and compelling.

Introduction (exposition — rising action)

Orient the audience and draw them in by demonstrating the relevance and importance of your research story with strong global motive. Provide them with the necessary vocabulary and background knowledge to understand the plot of your story. Introduce the key studies (characters) relevant in your story and build tension and conflict with scholarly and data motive. By the end of your introduction, your audience should clearly understand your research question and be dying to know how you resolve the tension built through motive.

Methods (rising action)

The methods section should transition smoothly and logically from the introduction. Beware of presenting your methods in a boring, arc-killing, ‘this is what I did.’ Focus on the details that set your story apart from the stories other people have already told. Keep the audience interested by clearly motivating your decisions based on your original research question or the tension built in your introduction.

Results (climax)

Less is usually more here. Only present results which are clearly related to the focused research question you are presenting. Make sure you explain the results clearly so that your audience understands what your research found. This is the peak of tension in your narrative arc, so don’t undercut it by quickly clicking through to your discussion.

Discussion (falling action)

By now your audience should be dying for a satisfying resolution. Here is where you contextualize your results and begin resolving the tension between past research. Be thorough. If you have too many conflicts left unresolved, or you don’t have enough time to present all of the resolutions, you probably need to further narrow the scope of your presentation.

Conclusion (denouement)

Return back to your initial research question and motive, resolving any final conflicts and tying up loose ends. Leave the audience with a clear resolution of your focus research question, and use unresolved tension to set up potential sequels (i.e. further research).

Use your medium to enhance the narrative

Visual presentations should be dominated by clear, intentional graphics. Subtle animation in key moments (usually during the results or discussion) can add drama to the narrative arc and make conflict resolutions more satisfying. You are narrating a story written in images, videos, cartoons, and graphs. While your paper is mostly text, with graphics to highlight crucial points, your slides should be the opposite. Adapting to the new medium may require you to create or acquire far more graphics than you included in your paper, but it is necessary to create an engaging presentation.

The most important thing you can do for your presentation is to practice and revise. Bother your friends, your roommates, TAs–anybody who will sit down and listen to your work. Beyond that, think about presentations you have found compelling and try to incorporate some of those elements into your own. Remember you want your work to be comprehensible; you aren’t creating experts in 10 minutes. Above all, try to stay passionate about what you did and why. You put the time in, so show your audience that it’s worth it.

For more insight into research presentations, check out these past PCUR posts written by Emma and Ellie .

— Alec Getraer, Natural Sciences Correspondent

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

Provide an overview of the research problem and the need for a research methodology section
Outline the main research questions and objectives

II. Research Design

Explain the research design chosen and why it is appropriate for the research question(s) and objectives
Discuss any alternative research designs considered and why they were not chosen
Describe the research setting and participants (if applicable)

III. Data Collection Methods

Describe the methods used to collect data (e.g., surveys, interviews, observations)
Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
Detail any procedures or software used for data analysis

V. Ethical Considerations

Discuss any ethical issues that may arise from the research and how they were addressed
Explain how informed consent was obtained (if applicable)
Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

Summarize the key aspects of the research methodology section
Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

Research Methodology	Research Methods
Research methodology refers to the philosophical and theoretical frameworks that guide the research process.	refer to the techniques and procedures used to collect and analyze data.
It is concerned with the underlying principles and assumptions of research.	It is concerned with the practical aspects of research.
It provides a rationale for why certain research methods are used.	It determines the specific steps that will be taken to conduct research.
It is broader in scope and involves understanding the overall approach to research.	It is narrower in scope and focuses on specific techniques and tools used in research.
It is concerned with identifying research questions, defining the research problem, and formulating hypotheses.	It is concerned with collecting data, analyzing data, and interpreting results.
It is concerned with the validity and reliability of research.	It is concerned with the accuracy and precision of data.
It is concerned with the ethical considerations of research.	It is concerned with the practical considerations of research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Home Blog Education How to Prepare Your Scientific Presentation

How to Prepare Your Scientific Presentation

Since the dawn of time, humans were eager to find explanations for the world around them. At first, our scientific method was very simplistic and somewhat naive. We observed and reflected. But with the progressive evolution of research methods and thinking paradigms, we arrived into the modern era of enlightenment and science. So what represents the modern scientific method and how can you accurately share and present your research findings to others? These are the two fundamental questions we attempt to answer in this post.

What is the Scientific Method?

To better understand the concept, let’s start with this scientific method definition from the International Encyclopedia of Human Geography :

The scientific method is a way of conducting research, based on theory construction, the generation of testable hypotheses, their empirical testing, and the revision of theory if the hypothesis is rejected.

Essentially, a scientific method is a cumulative term, used to describe the process any scientist uses to objectively interpret the world (and specific phenomenon) around them.

The scientific method is the opposite of beliefs and cognitive biases — mostly irrational, often unconscious, interpretations of different occurrences that we lean on as a mental shortcut.

The scientific method in research, on the contrary, forces the thinker to holistically assess and test our approaches to interpreting data. So that they could gain consistent and non-arbitrary results.

The common scientific method examples are:

Systematic observation
Experimentation
Inductive and deductive reasoning
Formation and testing of hypotheses and theories

All of the above are used by both scientists and businesses to make better sense of the data and/or phenomenon at hand.

The Evolution of the Scientific Method

According to the Stanford Encyclopedia of Philosophy , ancient thinkers such as Plato and Aristotle are believed to be the forefathers of the scientific method. They were among the first to try to justify and refine their thought process using the scientific method experiments and deductive reasoning.

Both developed specific systems for knowledge acquisition and processing. For example, the Platonic way of knowledge emphasized reasoning as the main method for learning but downplayed the importance of observation. The Aristotelian corpus of knowledge, on the contrary, said that we must carefully observe the natural world to discover its fundamental principles.

In medieval times, thinkers such as Thomas Aquinas, Roger Bacon, and Andreas Vesalius among many others worked on further clarifying how we can obtain proven knowledge through observation and induction.

The 16th–18th centuries are believed to have given the greatest advances in terms of scientific method application. We, humans, learned to better interpret the world around us from mechanical, biological, economic, political, and medical perspectives. Thinkers such as Galileo Galilei, Francis Bacon, and their followers also increasingly switched to a tradition of explaining everything through mathematics, geometry, and numbers.

Up till today, mathematical and mechanical explanations remain the core parts of the scientific method.

Why is the Scientific Method Important Today?

Because our ancestors didn’t have as much data as we do. We now live in the era of paramount data accessibility and connectivity, where over 2.5 quintillions of data are produced each day. This has tremendously accelerated knowledge creation.

But, at the same time, such overwhelming exposure to data made us more prone to external influences, biases, and false beliefs. These can jeopardize the objectivity of any research you are conducting.

Scientific findings need to remain objective, verifiable, accurate, and consistent. Diligent usage of scientific methods in modern business and science helps ensure proper data interpretation, results replication, and undisputable validity.

6 Steps of the Scientific Method

Over the course of history, the scientific method underwent many interactions. Yet, it still carries some of the integral steps our ancestors used to analyze the world such as observation and inductive reasoning. However, the modern scientific method steps differ a bit.

1. Make an Observation

An observation serves as a baseline for your research. There are two important characteristics for a good research observation:

It must be objective, not subjective.
It must be verifiable, meaning others can say it’s true or false with this.

For example, This apple is red (objective/verifiable observation). This apple is delicious (subjective, harder-to-verify observation).

2. Develop a Hypothesis

Observations tell us about the present or past. But the goal of science is to glean in the future. A scientific hypothesis is based on prior knowledge and produced through reasoning as an attempt to descriptive a future event.

Here are characteristics of a good scientific hypothesis:

General and tentative idea
Agrees with all available observations
Testable and potentially falsifiable

Remember: If we state our hypothesis to indicate there is no effect, our hypothesis is a cause-and-effect relationship . A hypothesis, which asserts no effect, is called a null hypothesis.

3. Make a Prediction

A hypothesis is a mental “launchpad” for predicting the existence of other phenomena or quantitative results of new observations.

Going back to an earlier example here’s how to turn it into a hypothesis and a potential prediction for proving it. For example: If this apple is red, other apples of this type should be red too.

Your goal is then to decide which variables can help you prove or disprove your hypothesis and prepare to test these.

4. Perform an Experiment

Collect all the information around variables that will help you prove or disprove your prediction. According to the scientific method, a hypothesis has to be discarded or modified if its predictions are clearly and repeatedly incompatible with experimental results.

Yes, you may come up with an elegant theory. However, if your hypothetical predictions cannot be backed by experimental results, you cannot use them as a valid explanation of the phenomenon.

5. Analyze the Results of the Experiment

To come up with proof for your hypothesis, use different statistical analysis methods to interpret the meaning behind your data.

Remember to stay objective and emotionally unattached to your results. If 95 apples turned red, but 5 were yellow, does it disprove your hypothesis? Not entirely. It may mean that you didn’t account for all variables and must adapt the parameters of your experiment.

Here are some common data analysis techniques, used as a part of a scientific method:

Statistical analysis
Cause and effect analysis (see cause and effect analysis slides )
Regression analysis
Factor analysis
Cluster analysis
Time series analysis
Diagnostic analysis
Root cause analysis (see root cause analysis slides )

6. Draw a Conclusion

Every experiment has two possible outcomes:

The results correspond to the prediction
The results disprove the prediction

If that’s the latter, as a scientist you must discard the prediction then and most likely also rework the hypothesis based on it.

How to Give a Scientific Presentation to Showcase Your Methods

Whether you are doing a poster session, conference talk, or follow-up presentation on a recently published journal article, most of your peers need to know how you’ve arrived at the presented conclusions.

In other words, they will probe your scientific method for gaps to ensure that your results are fair and possible to replicate. So that they could incorporate your theories in their research too. Thus your scientific presentation must be sharp, on-point, and focus clearly on your research approaches.

Below we propose a quick framework for creating a compelling scientific presentation in PowerPoint (+ some helpful templates!).

1. Open with a Research Question

Here’s how to start a scientific presentation with ease: share your research question. On the first slide, briefly recap how your thought process went. Briefly state what was the underlying aim of your research: Share your main hypothesis, mention if you could prove or disprove them.

It might be tempting to pack a lot of ideas into your first slide but don’t. Keep the opening of your presentation short to pique the audience’s initial interest and set the stage for the follow-up narrative.

scientific presentation opening slide example

2. Disclose Your Methods

Whether you are doing a science poster presentation or conference talk, many audience members would be curious to understand how you arrived at your results. Deliver this information at the beginning of your presentation to avoid any ambiguities.

Here’s how to organize your science methods on a presentation:

Do not use bullet points or full sentences. Use diagrams and structured images to list the methods
Use visuals and iconography to use metaphors where possible.
Organize your methods by groups e.g. quantifiable and non-quantifiable

Finally, when you work on visuals for your presentation — charts, graphs, illustrations, etc. — think from the perspective of a subject novice. Does the image really convey the key information around the subject? Does it help break down complex ideas?

slide describing a summary of scientific methods

3. Spotlight the Results

Obviously, the research results will be your biggest bragging right. However, don’t over-pack your presentation with a long-winded discussion of your findings and how revolutionary these may be for the community.

Rather than writing a wall of text, do this instead:

Use graphs with large axis values/numbers to showcase the findings in great detail
Prioritize formats that are known to everybody (e.g. odds ratios, Kaplan Meier curves, etc.)
Do not include more than 5 lines of plain text per slide

Overall, when you feel that the results slide gets too cramped, it’s best to move the data to a new one.

Also, as you work on organizing data on your scientific presentation PowerPoint template , think if there are obvious limitations and gaps. If yes, make sure you acknowledge them during your speech.

4. Mention Study Limitations

The scientific method mandates objectivity. That’s why every researcher must clearly state what was excluded from their study. Remember: no piece of scientific research is truly universal and has certain boundaries. However, when you fail to personally state those, others might struggle to draw the line themselves and replicate your results. Then, if they fail to do so, they’d question the viability of your research.

5. Conclude with a Memorable Takeaway Message

Every experienced speaker will tell you that the audience best retains the information they hear first and last. Most people will attend more than one scientific presentation during the day.

So if you want the audience to better remember your talk, brainstorm a take-home message for the last slide of your presentation. Think of your last slide texts as an elevator pitch — a short, concluding message, summarizing your research.

To Conclude

Today we have no shortage of research and scientific methods for testing and proving our hypothesis. However, unlike our ancestors, most scientists experience deeper scrutiny when it comes to presenting and explaining their findings to others. That’s why it’s important to ensure that your scientific presentation clearly relays the aim, vector, and thought process behind your research.

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[Guide] How to Present Qualitative Research Findings in PowerPoint?

By: Author Shrot Katewa

As a researcher, it is quite pointless to do the research if we are unable to share the findings with our audience appropriately! Using PowerPoint is one of the best ways to present research outcomes. But, how does one present qualitative research findings using PowerPoint?

In order to present the qualitative research findings using PowerPoint, you need to create a robust structure for your presentation, make it engaging and visually appealing, present the patterns with explanations for it and highlight the conclusion of your research findings.

In this article, we will help you understand the structure of your presentation. Plus, we’ll share some handy tips that will make your qualitative research presentation really effective!

How to Create a Structure for your Qualitative Research Presentation?

Creating the right structure for your presentation is key to ensuring that it is correctly understood by your audience.

The structure of your Research Presentation not only makes it easier for you to create the document, it also makes it simple for the audience to understand what all will be covered in the presentation at the time of presenting it to your audience.

Furthermore, having a robust structure is a great way to ensure that you don’t miss out on any of the points while working on creating the presentation.

But, what structure should one follow?

Creating a good structure can be tricky for some. Thus, I’m sharing what has worked well for me during my previous research projects.

NOTE – It is important to note that although the following structure is highly effective for most research findings presentation, it has been generalized in order to serve a wide range of research projects. You may want to take a look at points that are very specific to the nature of your research project and include them at your discretion.

Here’s my recommended structure to create your Research Findings presentation –

1. Objective of the Research

A great way to start your presentation is to highlight the objective of your research project.

It is important to remember that merely sharing the objective may sometimes not be enough. A short backstory along with the purpose of your research project can pack a powerful punch ! It not only validates the reasoning for your project but also subtly establishes trust with your audience.

However, do make sure that you’re not reading the backstory from the slide. Let it flow naturally when you are delivering the presentation. Keep the presentation as minimalistic as possible.

2. Key Parameters Considered for Measurement

Once you’ve established the objective, the next thing that you may want to do is perhaps share the key parameters considered for the success of your project.

Every research project, including qualitative research, needs to have a few key parameters to measure against the objective of the research.

For example – If the goal of your project is to gather the sentiments of a certain group of people for a particular product, you may need to measure their feelings. Are they happy or unhappy using the product? How do they perceive the branding of the product? Is it affordable?

Make sure that you list down all such key parameters that were considered while conducting the qualitative research.

In general, laying these out before sharing the outcome can help your audience think from your perspective and look at the findings from the correct lens.

3. Research Methodology Adopted

The next thing that you may want to include in your presentation is the methodology that you adopted for conducting the research.

By knowing your approach, the audience can be better prepared for the outcome of your project. Ensure that you provide sound reasoning for the chosen methodology.

This section of your presentation can also showcase some pictures of the research being conducted. If you have captured a video, include that. Doing this provides further validation of your project.

4. Research Outcomes (Presenting Descriptive Analysis)

This is the section that will constitute the bulk of the your presentation.

Use the slides in this section to describe the observations, and the resulting outcomes on each of the key parameters that were considered for the research project.

It is usually a good idea to dedicate at least 1 or more slides for each parameter . Make sure that you present data wherever possible. However, ensure that the data presented can be easily comprehended.

Provide key learnings from the data, highlight any outliers, and possible reasoning for it. Try not to go too in-depth with the stats as this can overwhelm the audience. Remember, a presentation is most helpful when it is used to provide key highlights of the research !

Apart from using the data, make sure that you also include a few quotes from the participants.

5. Summary and Learnings from the Research

Once you’ve taken the audience through the core part of your research findings, it is a good practice to summarize the key learnings from each of the section of your project.

Make sure your touch upon some of the key learnings covered in the research outcome of your presentation.

Furthermore, include any additional observations and key points that you may have had which were previously not covered.

The summary slide also often acts as “Key Takeaways” from the research for your audience. Thus, make sure that you maintain brevity and highlight only the points that you want your audience to remember even after the presentation.

6. Inclusions and Exclusions (if any)

While this can be an optional section for some of the researchers.

However, dedicating a section on inclusions and exclusions in your presentation can be a great value add! This section helps your audience understand the key factors that were excluded (or included) on purpose!

Moreover, it creates a sense of thoroughness in the minds of your audience.

7. Conclusion of the Research

The purpose of the conclusion slide of your research findings presentation is to revisit the objective, and present a conclusion.

A conclusion may simply validate or nullify the objective. It may sometimes do neither. Nevertheless, having a conclusion slide makes your presentation come a full circle. It creates this sense of completion in the minds of your audience.

8. Questions

Finally, since your audience did not spend as much time as you did on the research project, people are bound to have a few questions.

Thus, the last part of your presentation structure should be dedicated to allowing your audience to ask questions.

Tips for Effectively Presenting Qualitative Research Findings using PowerPoint

For a presentation to be effective, it is important that the presentation is not only well structured but also that it is well created and nicely delivered!

While we have already covered the structure, let me share with you some tips that you can help you create and deliver the presentation effectively.

Tip 1 – Use Visuals

Using visuals in your presentation is a great way to keep the presentations engaging!

Visual aids not only help make the presentation less boring, but it also helps your audience in retaining the information better!

So, use images and videos of the actual research wherever possible. If these do not suffice or do not give a professional feel, there are a number of resources online from where you can source royalty-free images.

My recommendation for high-quality royalty-free images would be either Unsplash or Pexels . Both are really good. The only downside is that they often do not provide the perfect image that can be used. That said, it can get the job done for at least half the time.

If you are unable to find the perfect free image, I recommend checking out Dreamstime . They have a huge library of images and are much cheaper than most of the other image banks. I personally use Dreamstime for my presentation projects!

Tip 2 – Tell a Story (Don’t Show Just Data!)

I cannot stress enough on how important it is to give your presentation a human touch. Delivering a presentation in the form of a story does just that! Furthermore, storytelling is also a great tool for visualization .

Data can be hard-hitting, whereas a touching story can tickle the emotions of your audience on various levels!

One of the best ways to present a story with your research project is to start with the backstory of the objective. We’ve already talked about this in the earlier part of this article.

Start with why is this research project is so important. Follow a story arc that provides an exciting experience of the beginning, the middle, and a progression towards a climax; much like a plot of a soap opera.

Tip 3 – Include Quotes of the Participants

Including quotes of the participants in your research findings presentation not only provides evidence but also demonstrates authenticity!

Quotes function as a platform to include the voice of the target group and provide a peek into the mindset of the target audience.

When using quotes, keep these things in mind –

1. Use Quotes in their Unedited Form

When using quotes in your presentation, make sure that you use them in their raw unedited form.

The need to edit quotes should be only restricted to aid comprehension and sometimes coherence.

Furthermore, when editing the quotes, make sure that you use brackets to insert clarifying words. The standard format for using the brackets is to use square brackets for clarifying words and normal brackets for adding a missing explanation.

2. How to Decide which Quotes to Consider?

It is important to know which quotes to include in your presentation. I use the following 3 criteria when selecting the quote –

Relevance – Consider the quotes that are relevant, and trying to convey the point that you want to establish.
Length – an ideal quote should be not more than 1-2 sentences long.
Choose quotes that are well-expressed and striking in nature.

3. Preserve Identity of the Participant

It is important to preserve and protect the identity of the participant. This can be done by maintaining confidentiality and anonymity.

Thus, refrain from using the name of the participant. An alternative could be using codes, using pseudonyms (made up names) or simply using other general non-identifiable parameters.

Do note, when using pseudonyms, remember to highlight it in the presentation.

If, however, you do need to use the name of the respondent, make sure that the participant is okay with it and you have adequate permissions to use their name.

Tip 4 – Make your Presentation Visually Appealing and Engaging

It is quite obvious for most of us that we need to create a visually appealing presentation. But, making it pleasing to the eye can be a bit challenging.

Fortunately, we wrote a detailed blog post with tips on how to make your presentation attractive. It provides you with easy and effective tips that you can use even as a beginner! Make sure you check that article.

7 EASY tips that ALWAYS make your PPT presentation attractive (even for beginners)

In addition to the tips mentioned in the article, let me share a few things that you can do which are specific to research outcome presentations.

4.1 Use a Simple Color Scheme

Using the right colors are key to make a presentation look good.

One of the most common mistakes that people make is use too many colors in their presentation!

My recommendation would be to go with a monochromatic color scheme in PowerPoint .

4.2 Make the Data Tables Simple and Visually Appealing

When making a presentation on research outcomes, you are bound to present some data.

But, when data is not presented in a proper manner, it can easily and quickly make your presentation look displeasing! The video below can be a good starting point.

Using neat looking tables can simply transform the way your presentation looks. So don’t just dump the data from excel on your PowerPoint presentation. Spend a few minutes on fixing it!

4.3 Use Graphs and Charts (wherever necessary)

When presenting data, my recommendation would be that graphs and charts should be your first preference.

Using graphs or charts make it easier to read the data, takes less time for the audience to comprehend, and it also helps to identify a trend.

However, make sure that the correct chart type is used when representing the data. The last thing that you want is to poorly represent a key piece of information.

4.4 Use Icons instead of Bullet Points

Consider the following example –

This slide could have been created just as easily using bullet points. However, using icons and representing the information in a different format makes the slide pleasing on the eye.

Thus, always try to use icons wherever possible instead of bullet points.

Tip 5 – Include the Outliers

Many times, as a research project manager, we tend to focus on the trends extracted from a data set.

While it is important to identify patterns in the data and provide an adequate explanation for the pattern, it is equally important sometimes to highlight the outliers prominently.

It is easy to forget that there may be hidden learnings even in the outliers. At times, the data trend may be re-iterating the common wisdom. However, upon analyzing the outlier data points, you may get insight into how a few participants are doing things successfully despite not following the common knowledge.

That said, not every outlier will reveal hidden information. So, do verify what to include and what to exclude.

Tip 6 – Take Inspiration from other Presentations

I admit, making any presentation can be a tough ask let alone making a presentation for showcasing qualitative research findings. This is especially hard when we don’t have the necessary skills for creating a presentation.

One quick way to overcome this challenge could be take inspiration from other similar presentations that we may have liked.

There is no shame in being inspired from others. If you don’t have any handy references, you can surely Google it to find a few examples.

One trick that almost always works for me is using Pinterest .

But, don’t just directly search for a research presentation. You will have little to no success with it. The key is to look for specific examples for inspiration. For eg. search for Title Slide examples, or Image Layout Examples in Presentation.

Tip 7 – Ask Others to Critic your Presentation

The last tip that I would want to provide is to make sure that you share the presentation with supportive colleagues or mentors to attain feedback.

This step can be critical to iron out the chinks in the armor. As research project manager, it is common for you to get a bit too involved with the project. This can lead to possibilities wherein you miss out on things.

A good way to overcome this challenge is to get a fresh perspective on your project and the presentation once it has been prepared.

Taking critical feedback before your final presentation can also prepare you to handle tough questions in an adept manner.

Final Thoughts

It is quite important to ensure that we get it right when working on a presentation that showcases the findings of our research project. After all, we don’t want to be in a situation wherein we put in all the hard-work in the project, but we fail to deliver the outcome appropriately.

I hope you will find the aforementioned tips and structure useful, and if you do, make sure that you bookmark this page and spread the word. Wishing you all the very best for your project!

Chapter Seven: Presenting Your Results

This chapter serves as the culmination of the previous chapters, in that it focuses on how to present the results of one's study, regardless of the choice made among the three methods. Writing in academics has a form and style that you will want to apply not only to report your own research, but also to enhance your skills at reading original research published in academic journals. Beyond the basic academic style of report writing, there are specific, often unwritten assumptions about how quantitative, qualitative, and critical/rhetorical studies should be organized and the information they should contain. This chapter discusses how to present your results in writing, how to write accessibly, how to visualize data, and how to present your results in person.

Chapter One: Introduction
Chapter Two: Understanding the distinctions among research methods
Chapter Three: Ethical research, writing, and creative work
Chapter Four: Quantitative Methods (Part 1)
Chapter Four: Quantitative Methods (Part 2 - Doing Your Study)
Chapter Four: Quantitative Methods (Part 3 - Making Sense of Your Study)
Chapter Five: Qualitative Methods (Part 1)
Chapter Five: Qualitative Data (Part 2)
Chapter Six: Critical / Rhetorical Methods (Part 1)
Chapter Six: Critical / Rhetorical Methods (Part 2)

Written Presentation of Results

Once you've gone through the process of doing communication research – using a quantitative, qualitative, or critical/rhetorical methodological approach – the final step is to communicate it.

The major style manuals (the APA Manual, the MLA Handbook, and Turabian) are very helpful in documenting the structure of writing a study, and are highly recommended for consultation. But, no matter what style manual you may use, there are some common elements to the structure of an academic communication research paper.

Title Page :

This is simple: Your Paper's Title, Your Name, Your Institutional Affiliation (e.g., University), and the Date, each on separate lines, centered on the page. Try to make your title both descriptive (i.e., it gives the reader an idea what the study is about) and interesting (i.e., it is catchy enough to get one's attention).

For example, the title, "The uncritical idealization of a compensated psychopath character in a popular book series," would not be an inaccurate title for a published study, but it is rather vague and exceedingly boring. That study's author fortunately chose the title, "A boyfriend to die for: Edward Cullen as compensated psychopath in Stephanie Meyer's Twilight ," which is more precisely descriptive, and much more interesting (Merskin, 2011). The use of the colon in academic titles can help authors accomplish both objectives: a catchy but relevant phrase, followed by a more clear explanation of the article's topic.

In some instances, you might be asked to write an abstract, which is a summary of your paper that can range in length from 75 to 250 words. If it is a published paper, it is useful to include key search terms in this brief description of the paper (the title may already have a few of these terms as well). Although this may be the last thing your write, make it one of the best things you write, because this may be the first thing your audience reads about the paper (and may be the only thing read if it is written badly). Summarize the problem/research question, your methodological approach, your results and conclusions, and the significance of the paper in the abstract.

Quantitative and qualitative studies will most typically use the rest of the section titles noted below. Critical/rhetorical studies will include many of the same steps, but will often have different headings. For example, a critical/rhetorical paper will have an introduction, definition of terms, and literature review, followed by an analysis (often divided into sections by areas of investigation) and ending with a conclusion/implications section. Because critical/rhetorical research is much more descriptive, the subheadings in such a paper are often times not generic subheads like "literature review," but instead descriptive subheadings that apply to the topic at hand, as seen in the schematic below. Because many journals expect the article to follow typical research paper headings of introduction, literature review, methods, results, and discussion, we discuss these sections briefly next.

Introduction:

As you read social scientific journals (see chapter 1 for examples), you will find that they tend to get into the research question quickly and succinctly. Journal articles from the humanities tradition tend to be more descriptive in the introduction. But, in either case, it is good to begin with some kind of brief anecdote that gets the reader engaged in your work and lets the reader understand why this is an interesting topic. From that point, state your research question, define the problem (see Chapter One) with an overview of what we do and don't know, and finally state what you will do, or what you want to find out. The introduction thus builds the case for your topic, and is the beginning of building your argument, as we noted in chapter 1.

By the end of the Introduction, the reader should know what your topic is, why it is a significant communication topic, and why it is necessary that you investigate it (e.g., it could be there is gap in literature, you will conduct valuable exploratory research, or you will provide a new model for solving some professional or social problem).

Literature Review:

The literature review summarizes and organizes the relevant books, articles, and other research in this area. It sets up both quantitative and qualitative studies, showing the need for the study. For critical/rhetorical research, the literature review often incorporates the description of the historical context and heuristic vocabulary, with key terms defined in this section of the paper. For more detail on writing a literature review, see Appendix 1.

The methods of your paper are the processes that govern your research, where the researcher explains what s/he did to solve the problem. As you have seen throughout this book, in communication studies, there are a number of different types of research methods. For example, in quantitative research, one might conduct surveys, experiments, or content analysis. In qualitative research, one might instead use interviews and observations. Critical/rhetorical studies methods are more about the interpretation of texts or the study of popular culture as communication. In creative communication research, the method may be an interpretive performance studies or filmmaking. Other methods used sometimes alone, or in combination with other methods, include legal research, historical research, and political economy research.

In quantitative and qualitative research papers, the methods will be most likely described according to the APA manual standards. At the very least, the methods will include a description of participants, data collection, and data analysis, with specific details on each of these elements. For example, in an experiment, the researcher will describe the number of participants, the materials used, the design of the experiment, the procedure of the experiment, and what statistics will be used to address the hypotheses/research questions.

Critical/rhetorical researchers rarely have a specific section called "methods," as opposed to quantitative and qualitative researchers, but rather demonstrate the method they use for analysis throughout the writing of their piece.

Helping your reader understand the methods you used for your study is important not only for your own study's credibility, but also for possible replication of your study by other researchers. A good guideline to keep in mind is transparency . You want to be as clear as possible in describing the decisions you made in designing your study, gathering and analyzing your data so that the reader can retrace your steps and understand how you came to the conclusions you formed. A research study can be very good, but if it is not clearly described so that others can see how the results were determined or obtained, then the quality of the study and its potential contributions are lost.

After you completed your study, your findings will be listed in the results section. Particularly in a quantitative study, the results section is for revisiting your hypotheses and reporting whether or not your results supported them, and the statistical significance of the results. Whether your study supported or contradicted your hypotheses, it's always helpful to fully report what your results were. The researcher usually organizes the results of his/her results section by research question or hypothesis, stating the results for each one, using statistics to show how the research question or hypothesis was answered in the study.

The qualitative results section also may be organized by research question, but usually is organized by themes which emerged from the data collected. The researcher provides rich details from her/his observations and interviews, with detailed quotations provided to illustrate the themes identified. Sometimes the results section is combined with the discussion section.

Critical/rhetorical researchers would include their analysis often with different subheadings in what would be considered a "results" section, yet not labeled specifically this way.

Discussion:

In the discussion section, the researcher gives an appraisal of the results. Here is where the researcher considers the results, particularly in light of the literature review, and explains what the findings mean. If the results confirmed or corresponded with the findings of other literature, then that should be stated. If the results didn't support the findings of previous studies, then the researcher should develop an explanation of why the study turned out this way. Sometimes, this section is called a "conclusion" by researchers.

References:

In this section, all of the literature cited in the text should have full references in alphabetical order. Appendices: Appendix material includes items like questionnaires used in the study, photographs, documents, etc. An alphabetical letter is assigned for each piece (e.g. Appendix A, Appendix B), with a second line of title describing what the appendix contains (e.g. Participant Informed Consent, or New York Times Speech Coverage). They should be organized consistently with the order in which they are referenced in the text of the paper. The page numbers for appendices are consecutive with the paper and reference list.

Tables/Figures:

Tables and figures are referenced in the text, but included at the end of the study and numbered consecutively. (Check with your professor; some like to have tables and figures inserted within the paper's main text.) Tables generally are data in a table format, whereas figures are diagrams (such as a pie chart) and drawings (such as a flow chart).

Accessible Writing

As you may have noticed, academic writing does have a language (e.g., words like heuristic vocabulary and hypotheses) and style (e.g., literature reviews) all its own. It is important to engage in that language and style, and understand how to use it to communicate effectively in an academic context . Yet, it is also important to remember that your analyses and findings should also be written to be accessible. Writers should avoid excessive jargon, or—even worse—deploying jargon to mask an incomplete understanding of a topic.

The scourge of excessive jargon in academic writing was the target of a famous hoax in 1996. A New York University physics professor submitted an article, " Transgressing the Boundaries: Toward a Transformative Hermeneutics of Quantum Gravity ," to a special issue of the academic journal Social Text devoted to science and postmodernism. The article was designed to point out how dense academic jargon can sometimes mask sloppy thinking. As the professor, Alan Sokal, had expected, the article was published. One sample sentence from the article reads:

It has thus become increasingly apparent that physical "reality", no less than social "reality", is at bottom a social and linguistic construct; that scientific "knowledge", far from being objective, reflects and encodes the dominant ideologies and power relations of the culture that produced it; that the truth claims of science are inherently theory-laden and self-referential; and consequently, that the discourse of the scientific community, for all its undeniable value, cannot assert a privileged epistemological status with respect to counter-hegemonic narratives emanating from dissident or marginalized communities. (Sokal, 1996. pp. 217-218)

According to the journal's editor, about six reviewers had read the article but didn't suspect that it was phony. A public debate ensued after Sokal revealed his hoax. Sokal said he worried that jargon and intellectual fads cause academics to lose contact with the real world and "undermine the prospect for progressive social critique" ( Scott, 1996 ). The APA Manual recommends to avoid using technical vocabulary where it is not needed or relevant or if the technical language is overused, thus becoming jargon. In short, the APA argues that "scientific jargon...grates on the reader, encumbers the communication of information, and wastes space" (American Psychological Association, 2010, p. 68).

Data Visualization

Images and words have long existed on the printed page of manuscripts, yet, until recently, relatively few researchers possessed the resources to effectively combine images combined with words (Tufte, 1990, 1983). Communication scholars are only now becoming aware of this dimension in research as computer technologies have made it possible for many people to produce and publish multimedia presentations.

Although visuals may seem to be anathema to the primacy of the written word in research, they are a legitimate way, and at times the best way, to present ideas. Visual scholar Lester Faigley et al. (2004) explains how data visualizations have become part of our daily lives:

Visualizations can shed light on research as well. London-based David McCandless specializes in visualizing interesting research questions, or in his words "the questions I wanted answering" (2009, p. 7). His images include a graph of the peak times of the year for breakups (based on Facebook status updates), a radiation dosage chart , and some experiments with the Google Ngram Viewer , which charts the appearance of keywords in millions of books over hundreds of years.

The public domain image below creatively maps U.S. Census data of the outflow of people from California to other states between 1995 and 2000.

Visualizing one's research is possible in multiple ways. A simple technology, for example, is to enter data into a spreadsheet such as Excel, and select Charts or SmartArt to generate graphics. A number of free web tools can also transform raw data into useful charts and graphs. Many Eyes , an open source data visualization tool (sponsored by IBM Research), says its goal "is to 'democratize' visualization and to enable a new social kind of data analysis" (IBM, 2011). Another tool, Soundslides , enables users to import images and audio to create a photographic slideshow, while the program handles all of the background code. Other tools, often open source and free, can help visual academic research into interactive maps; interactive, image-based timelines; interactive charts; and simple 2-D and 3-D animations. Adobe Creative Suite (which includes popular software like Photoshop) is available on most computers at universities, but open source alternatives exist as well. Gimp is comparable to Photoshop, and it is free and relatively easy to use.

One online performance studies journal, Liminalities , is an excellent example of how "research" can be more than just printed words. In each issue, traditional academic essays and book reviews are often supported photographs, while other parts of an issue can include video, audio, and multimedia contributions. The journal, founded in 2005, treats performance itself as a methodology, and accepts contribution in html, mp3, Quicktime, and Flash formats.

For communication researchers, there is also a vast array of visual digital archives available online. Many of these archives are located at colleges and universities around the world, where digital librarians are spearheading a massive effort to make information—print, audio, visual, and graphic—available to the public as part of a global information commons. For example, the University of Iowa has a considerable digital archive including historical photos documenting American railroads and a database of images related to geoscience. The University of Northern Iowa has a growing Special Collections Unit that includes digital images of every UNI Yearbook between 1905 and 1923 and audio files of UNI jazz band performances. Researchers at he University of Michigan developed OAIster , a rich database that has joined thousands of digital archives in one searchable interface. Indeed, virtually every academic library is now digitizing all types of media, not just texts, and making them available for public viewing and, when possible, for use in presenting research. In addition to academic collections, the Library of Congress and the National Archives offer an ever-expanding range of downloadable media; commercial, user-generated databases such as Flickr, Buzznet, YouTube and Google Video offer a rich resource of images that are often free of copyright constraints (see Chapter 3 about Creative Commons licenses) and nonprofit endeavors, such as the Internet Archive , contain a formidable collection of moving images, still photographs, audio files (including concert recordings), and open source software.

Presenting your Work in Person

As Communication students, it's expected that you are not only able to communicate your research project in written form but also in person.

Before you do any oral presentation, it's good to have a brief "pitch" ready for anyone who asks you about your research. The pitch is routine in Hollywood: a screenwriter has just a few minutes to present an idea to a producer. Although your pitch will be more sophisticated than, say, " Snakes on a Plane " (which unfortunately was made into a movie), you should in just a few lines be able to explain the gist of your research to anyone who asks. Developing this concise description, you will have some practice in distilling what might be a complicated topic into one others can quickly grasp.

Oral presentation

In most oral presentations of research, whether at the end of a semester, or at a research symposium or conference, you will likely have just 10 to 20 minutes. This is probably not enough time to read the entire paper aloud, which is not what you should do anyway if you want people to really listen (although, unfortunately some make this mistake). Instead, the point of the presentation should be to present your research in an interesting manner so the listeners will want to read the whole thing. In the presentation, spend the least amount of time on the literature review (a very brief summary will suffice) and the most on your own original contribution. In fact, you may tell your audience that you are only presenting on one portion of the paper, and that you would be happy to talk more about your research and findings in the question and answer session that typically follows. Consider your presentation the beginning of a dialogue between you and the audience. Your tone shouldn't be "I have found everything important there is to find, and I will cram as much as I can into this presentation," but instead "I found some things you will find interesting, but I realize there is more to find."

Turabian (2007) has a helpful chapter on presenting research. Most important, she emphasizes, is to remember that your audience members are listeners, not readers. Thus, recall the lessons on speech making in your college oral communication class. Give an introduction, tell them what the problem is, and map out what you will present to them. Organize your findings into a few points, and don't get bogged down in minutiae. (The minutiae are for readers to find if they wish, not for listeners to struggle through.) PowerPoint slides are acceptable, but don't read them. Instead, create an outline of a few main points, and practice your presentation.

Turabian suggests an introduction of not more than three minutes, which should include these elements:

The research topic you will address (not more than a minute).
Your research question (30 seconds or less)
An answer to "so what?" – explaining the relevance of your research (30 seconds)
Your claim, or argument (30 seconds or less)
The map of your presentation structure (30 seconds or less)

As Turabian (2007) suggests, "Rehearse your introduction, not only to get it right, but to be able to look your audience in the eye as you give it. You can look down at notes later" (p. 125).

Poster presentation

In some symposiums and conferences, you may be asked to present at a "poster" session. Instead of presenting on a panel of 4-5 people to an audience, a poster presenter is with others in a large hall or room, and talks one-on-one with visitors who look at the visual poster display of the research. As in an oral presentation, a poster highlights just the main point of the paper. Then, if visitors have questions, the author can informally discuss her/his findings.

To attract attention, poster presentations need to be nicely designed, or in the words of an advertising professor who schedules poster sessions at conferences, "be big, bold, and brief" ( Broyles , 2011). Large type (at least 18 pt.), graphics, tables, and photos are recommended.

A poster presentation session at a conference, by David Eppstein (Own work) [CC-BY-SA-3.0 ( www.creativecommons.org/licenses/by-sa/3.0 )], via Wikimedia Commons]

The Association for Education in Journalism and Mass Communication (AEJMC) has a template for making an effective poster presentation . Many universities, copy shops, and Internet services also have large-scale printers, to print full-color research poster designs that can be rolled up and transported in a tube.

Judging Others' Research

After taking this course, you should have a basic knowledge of research methods. There will still be some things that may mystify you as a reader of other's research. For example, you may not be able to interpret the coefficients for statistical significance, or make sense of a complex structural equation. Some specialized vocabulary may still be difficult.

But, you should understand how to critically review research. For example, imagine you have been asked to do a blind (i.e., the author's identity is concealed) "peer review" of communication research for acceptance to a conference, or publication in an academic journal. For most conferences and journals , submissions are made online, where editors can manage the flow and assign reviews to papers. The evaluations reviewers make are based on the same things that we have covered in this book. For example, the conference for the AEJMC ask reviewers to consider (on a five-point scale, from Excellent to Poor) a number of familiar research dimensions, including the paper's clarity of purpose, literature review, clarity of research method, appropriateness of research method, evidence presented clearly, evidence supportive of conclusions, general writing and organization, and the significance of the contribution to the field.

Beyond academia, it is likely you will more frequently apply the lessons of research methods as a critical consumer of news, politics, and everyday life. Just because some expert cites a number or presents a conclusion doesn't mean it's automatically true. John Allen Paulos, in his book A Mathematician reads the newspaper , suggests some basic questions we can ask. "If statistics were presented, how were they obtained? How confident can we be of them? Were they derived from a random sample or from a collection of anecdotes? Does the correlation suggest a causal relationship, or is it merely a coincidence?" (1997, p. 201).

Through the study of research methods, we have begun to build a critical vocabulary and understanding to ask good questions when others present "knowledge." For example, if Candidate X won a straw poll in Iowa, does that mean she'll get her party's nomination? If Candidate Y wins an open primary in New Hampshire, does that mean he'll be the next president? If Candidate Z sheds a tear, does it matter what the context is, or whether that candidate is a man or a woman? What we learn in research methods about validity, reliability, sampling, variables, research participants, epistemology, grounded theory, and rhetoric, we can consider whether the "knowledge" that is presented in the news is a verifiable fact, a sound argument, or just conjecture.

American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.

Broyles, S. (2011). "About poster sessions." AEJMC. http://www.aejmc.org/home/2013/01/about-poster-sessions/ .

Faigley, L., George, D., Palchik, A., Selfe, C. (2004). Picturing texts . New York: W.W. Norton & Company.

IBM (2011). Overview of Many Eyes. http://www.research.ibm.com/social/projects_manyeyes.shtml .

McCandless, D. (2009). The visual miscellaneum . New York: Collins Design.

Merskin, D. (2011). A boyfriend to die for: Edward Cullen as compensated psychopath in Stephanie Meyer's Twilight. Journal of Communication Inquiry 35: 157-178. doi:10.1177/0196859911402992

Paulos, J. A. (1997). A mathematician reads the newspaper . New York: Anchor.

Scott, J. (1996, May 18). Postmodern gravity deconstructed, slyly. New York Times , http://www.nytimes.com/books/98/11/15/specials/sokal-text.html .

Sokal, A. (1996). Transgressing the boundaries: towards a transformative hermeneutics of quantum gravity. Social Text 46/47, 217-252.

Tufte, E. R. (1990). Envisioning information . Cheshire, CT: Graphics Press.

Tufte, E. R. (1983). The visual display of quantitative information . Cheshire, CT: Graphics Press.

Turabian, Kate L. (2007). A manual for writers of research papers, theses, and dissertations: Chicago style guide for students and researchers (7th ed.). Chicago: University of Chicago Press.

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How to Create a Powerful Research Presentation

Written by: Raja Mandal

How to prepare an effective research presentation header

Have you ever had to create a research presentation?

If yes, you know how difficult it is to prepare an effective presentation that perfectly explains your research.

Since it's a visual representation of your papers, a large chunk of its preparation goes into designing.

No one knows your research paper better than you. So, only you can create the presentation to communicate the core message perfectly.

We've developed a practical, step-by-step guide to help you prepare a stellar research presentation.

Let's get started!

What is a research presentation, purpose of a research presentation, how to prepare an effective research presentation, research presentation design best practices, research presentation faqs.

A research presentation visually showcases systematic investigation findings and allows presenters to get feedback. It's commonly used in academic settings, such as Higher Degree Research students presenting their papers.
The purpose of a research presentation is to explain the significance of your research, clearly state your findings and methodology, get valuable feedback and make the audience learn more about your work or read your research paper.
To prepare an effective research presentation, decide on your presentation’s goal, know your audience, create an outline, limit the amount of text on your slides, and spend more time explaining your research than summarizing old work.
Some research presentation design tips include using an attractive background, utilizing a variety of layouts, using colors wisely, using font hierarchy and including high-quality images.
Visme can help you create all kinds of research, corporate and creative presentations. Browse thousands of presentation templates , import a PowerPoint , whip up a custom presentation design using our AI presentation maker or create a slide deck from scratch using our drag-and-drop presentation software .

A research presentation is a visual representation of an individual's or organization's systematic investigation of a subject. It helps the presenter obtain feedback on their proposed research. For example, educational establishments require Higher Degree Research (HDR) students to present their research papers in a research presentation.

The purpose of a research presentation is to share the findings with the world. When done well, it helps achieve significant levels of impact in front of groups of people. Delivering the research paper as a presentation also communicates the subject matter in powerful ways.

A beautifully designed research presentation should:

Explain the significance of your research.
Clearly state your findings and the method of analysis.
Get valuable feedback from others in your community to strengthen your research.
Make the audience learn more about your work or read your research paper.

Create a stunning presentation in less time

Hundreds of premade slides available
Add animation and interactivity to your slides
Choose from various presentation options

Most research presentations can be boring, especially if your data is not presented in an engaging way. You should prepare your presentation in a way that attracts and persuades your audience while drawing attention to the main points.

Follow the steps below to do that.

How to prepare a research presentation infographic

Decide on Your Presentation’s Purpose

Beginning the design process without deciding on the purpose of your presentation is like crawling in the dark without knowing the destination. You should first know the purpose of your presentation before creating it.

The purpose of a research presentation can be defending a dissertation, an academic job interview, a conference, asking for funding, and various others. The rest of the process will depend on the purpose of your presentation.

Look at these 25 different presentation examples to get inspiration and find the one that best fits your needs.

Know Your Audience

You probably wouldn't speak to your lecturer like you talk to your friends. Creating a presentation is the same—you need to tailor your presentation's design, tone and content to make it appropriate for your audience.

To do that, you need to establish who your audience is. Your audience could be:

Scientists/scholars in your field
Graduate and undergraduate students
Community members

Your target audience might be a mix of all of the above. In that case, it's better to have something for everyone. Once you know who your target audience is, ask yourself the following questions:

Why are they here?
What do they expect from your presentations?
Are they willing to participate?
What will keep them engaged?
What do you want them to do and what's their part in your presentation?
How do they prefer to receive information?

The answers to these questions will help you know your audience better and prepare your research presentation accordingly. Once you define your target audience, use these five traits of a highly engaging presentation to capture your audience's attention.

Create a Research Presentation Outline

Before crafting your presentation, it's crucial to create a presentation outline . Your outline will act as your guide to put your information in order and ensure you touch on all your major points.

Like other forms of academic writing, research presentations can be divided into several parts to make them more effective.

A research outline will:

Guide you as you prepare your presentation
Enable you to organize your ideas
Present your research in a logical format
Show the relationships among slides in your presentation
Construct an order overview of your presentation
Group ideas into main points

Though there is no universal formula for a research presentation outline, here's an example of what the outline should look like:

Introduction and purpose
Background and context
Data and methodology
Descriptive data
Quantitative and qualitative analysis
Future Research

Pro Tip: If your presentation needs to go through several rounds of edits or approvals, such as in the outline stage, streamline the process using Visme’s workflows . Instead of sending files back and forth, you can simply assign tasks and set up reviews or approvals.

Learn more about presentation structure to keep your audience engaged. Watch the video below for a better understanding.

Limit the Amount of Text on Your Slides

One of the most important things people often overlook is the amount of text on their presentation slides . Since the audience will be listening and watching, putting up a slide with lots of words will make them focus on reading instead of listening. As a result, they'll miss out on any critical points you are making.

The simpler you make your slides, the more your audience will grasp the meaning and retain the critical information. Here are a few ways to limit the amount of text on your slides.

1. Use Only Crucial Text on the Slides

Without making your point clear immediately, you will struggle to keep your audience's attention. Too much text can make your slides look cluttered and overwhelm the audience. Cut out waffle words, limiting content to the essentials.

If you’re struggling with summarizing your content or articulating your idea succinctly, use Visme’s AI Writer to create or shorten text into concise bullet points.

To avoid cognitive overload, combine text and images . Add animated graphics , icons , characters and gestures to bring your research presentation to life and capture your audience's attention.

2. Split up the Content Onto Multiple Slides

We recommend using one piece of information on a single slide. If you're talking about two or more topics, divide the topics into different slides to make your slides easily digestible and less daunting. The less information on each slide, the more your audience is likely to read.

3. Put Key Message Into the Heading

Use the slide headings of your presentation as a summary message. Think about the one key point you want the audience to take from each slide. And make the header short and impactful. This will ensure that your audience gets the main points immediately.

For example, you may have a statistic you want to really get across to your audience. Include that number in your heading so that it's the first point your audience reads.

But what if that statistic changes? Having to manually go back and update the number throughout your research presentation can be time-consuming.

With Visme's Dynamic Fields feature , updating important information throughout your presentation is a breeze. Take advantage of Dynamic Fields to ensure your data and research information is always up to date and accurate.

4. Visualize Data Instead of Writing Them

When adding facts and figures to your research presentation, harness the power of data visualization . Add charts and graphs to take out most of the text. You can also animate your charts and transform your slide deck into an interactive presentation .

Text with visuals causes a faster and stronger reaction than words alone, making your presentation more memorable. However, your data visualization should be straightforward to help create a narrative that further builds connections between information.

Have a look at these data visualization examples for inspiration. And here's an infographic explaining data visualization best practices.

Data Visualization Best Practices Infographic

Visme comes with a wide variety of charts and graphs templates you can use in your presentation.

5. Use Presenter Notes

Visme's Presenter Studio comes with a presenter notes feature that can help you keep your slides succinct. Use it to pull out any additional text that the audience needs to understand the content.

View your notes for each slide in the left sidebar of the presentation software to help you stay focused and on message throughout your presentation.

Explain Your Research

Some people spend nearly all of the presentation going over the existing research and giving background information on the particular case. Since you're preparing a research presentation, use more slides to explain the research papers you directly contributed to. This is also helpful to do when creating a grant proposal .

Your audience is there to learn about your new and exciting research, not to hear a summary of old work. So, if you create 20 slides for the presentation, spend at least 15 slides explaining your research, findings, and the key takeaways or recommendations.

Use Visme’s collaboration tools to work on your research presentation together with your team. This will help you create a well-rounded presentation that includes all the necessary points, even those that you did not work on directly.

Learn more about how to give a good presentation . This will help you explain your research more effectively.

A study shows that 91% of presenters feel more confident when presenting a well-designed slide deck. So, let's move on to the design part of your research presentation to boost your confidence.

1. Use an Attractive Background

The background of each presentation slide is a crucial design element for your presentation. So choose the background carefully. Try not to use backgrounds that are distracting or make the text difficult to read.

Use simple and relevant backgrounds to make the slide aesthetically appealing. Always use the same background for the slides throughout the presentation. Look at these presentation background templates and examples to get inspired.

2. Use a Variety of Layouts

Slide after slide of the same layout makes your presentation repetitive and boring. Mixing up the layout of your slides can help you avoid this issue and keep your audience engaged.

The presentation template below has a wide variety of images, texts, icons and other elements to create an interesting layout for your presentation slides.

Have a look at these 29 best presentation templates for inspiration.

3. Use Colors Wisely

Colors play an essential role in designing your presentation slides, regardless of the type of presentation you're working with. However, if you're a non-designer, you might be unsure about about how to use colors in a presentation . So, here are some tips for you:

Use complementary colors to stay on the safe side.
Use a text color that contrasts with the background to make the text pop.
Use colors to emphasize a text or design element.
Keep colors simple — less is more.

Don't be discouraged if you still find it difficult to choose colors for your presentation. All the presentation templates in Visme come with perfect color combinations to get the job done for you.

Below is an example of a research project presentation.

4. Use Fonts Hierarchy

Fonts are another design element that can make or break the design of your research presentation. If you struggle a lot while choosing fonts for a presentation , you aren't alone. Here are some tips that you can follow:

Try not to use smaller fonts that make your text difficult to read.
Use different font sizes for headings and body text. For example, you can use 20 points for the body text, 24 for the subheadings and 40 for the title.
Learn about font pairing and use it in your design. For example, use sans-serif with serif fonts as they always go well together.
Use two or three fonts max—ideally two. One should be for the headlines and the other for the body text. Anything more than that can make your slides cluttered.
Handwritten fonts and script fonts may look tempting, but they are a big no. They could negatively affect the readability and legibility of your research presentation.

Here's a research presentation template from Visme designed with the points mentioned above in mind.

5. Include High-Resolution Images

Are there any images you can use in your research presentation slides to introduce or explain a topic? As the saying goes, "A picture tells a thousand words." Use pictures to help your audience listen to you more efficiently while viewing the slides.

Pictures can also help you reduce the text clutter in the presentation, as long as they prompt you to make the points you need to make. Upload your own photos or browse through Visme's high-resolution stock photo library . It features over 1,000,000 free stock photos.

If you can’t find the perfect image, don’t worry. Use Visme’s AI Image Generator to whip one up for you based on prompts. You can also use our AI Image Editing tools to unblur, upscale and remove unwanted backgrounds from your photos.

Have a look at the presentation template below. It includes only high-resolution images, like all the presentation templates in Visme.

Below is a video of 13 presentation design tips to help you design a research presentation that your audience will love.

How to do a 5 minute research presentation?

Here are some tips to wrap up a research presentation in 5 minutes:

Focus on key points: Get to the meat of it quickly. Briefly introduce the topic, explain your methodology, present main findings and then conclude your presentation.
Less is more: Keep your presentation to 3-5 slides max, and use bullet points and visuals over walls of text.
Rehearse and refine: Practice delivering your presentation within the time limit before the big day. Trim content if you consistently run over, and aim to finish at 4:30 to allow for any unexpected pauses.

How long should a research presentation be?

According to Guy Kawaski’s 10/20/30 rule , your research presentation should be no more than 10 slides and take no longer than 20 minutes to present.

How do you introduce yourself in a research presentation?

Introduce yourself by clearly stating your name, institute and research focus. For example: "I'm Jane Doe from XYZ University. My research examines the impact of climate change on coral reefs."

How many slides should a research presentation have?

As a general rule, you should spend 1-2 minutes on each slide. This means you should aim for around 5-10 slides for a 10-minute research presentation.

Prepare Your Research Presentation Using Visme

Designing presentation slides from scratch isn't easy, especially if you have no experience. Fortunately, Visme comes with hundreds of professional presentation templates crafted by expert designers that make the job easy for you.

You don't need any design experience to create effective research presentations, corporate presentations and even creative presentations .

Choose from hundreds of beautifully designed presentation templates and customize them according to your needs using Visme's all-in-one presentation software . Anyone can use our powerful software to create stunning presentations in minutes.

Create a free account in Visme today and start creating your research presentation like an expert.

Put together powerful research presentations in minutes with Visme.

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About the Author

Raja Antony Mandal is a Content Writer at Visme. He can quickly adapt to different writing styles, possess strong research skills, and know SEO fundamentals. Raja wants to share valuable information with his audience by telling captivating stories in his articles. He wants to travel and party a lot on the weekends, but his guitar, drum set, and volleyball court don’t let him.

Different Types of Research Presentations

There are many different types of research presentations, but the different types of presentations can be divided into two general categories: written presentations and oral presentations. Written research presentations include dissertations and theses, posters, grant and project proposals, blogs, websites, PowerPoint slides, etc. Oral research presentations include lectures, conference presentations, job talks, etc. Often, oral and written methods of presentation are combined to effectively convey information about research. For example, posters or PowerPoint slides may be used to support oral presentations of research, or information on posters may be supplemented with oral explanations. Whichever type of research presentation you choose for your research, you should remember the following about the similarities and differences between oral and written presentations.

Similarities Between Oral and Written Presentations

The fundamental elements of successfully presenting research apply to both oral and written presentations. Whether you choose to present your research orally or in written form, you should know and actively engage your audience in the presentation of your research to effectively deliver your ideas. Organization is also important in both written and oral presentations. You can create outlines of your research that you can use to help you organize information for both oral and written presentations.

Differences Between Oral and Written Presentations

The most important difference between oral and written presentations is the time that is available for your audience to process what you have presented about your research. In written presentations, your audience has an unlimited amount of time to read, re-read, and analyze your research; if your audience does not understand particularly dense elements of your research, your audience has plenty of time to mull over your research until it becomes more understandable. In oral presentations, however, you generally have a limited amount of time to present your research, and your audience has even less time to understand what you have said. In both oral and written presentations (but particularly in oral presentations), you can help your audience understand your research by defining important key terms. After you have defined the key terms for your written or oral presentation, you must use them and any other jargon consistently throughout your entire presentation to help your audience avoid confusion.

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Creating a 10-15 Minute Scientific Presentation

In the course of your career as a scientist, you will be asked to give brief presentations -- to colleagues, lab groups, and in other venues. We have put together a series of short videos to help you organize and deliver a crisp 10-15 minute scientific presentation.

First is a two part set of videos that walks you through organizing a presentation.

Part 1 - Creating an Introduction for a 10-15 Minute Scientfic Presentation

Part 2 - Creating the Body of a 10-15 Minute Presentation: Design/Methods; Data Results, Conclusions

Two additional videos should prove useful:

Designing PowerPoint Slides for a Scientific Presentation walks you through the key principles in designing powerful, easy to read slides.

Delivering a Presentation provides tips and approaches to help you put your best foot forward when you stand up in front of a group.

Other resources include:

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How to make a scientific presentation

Scientific presentation outlines

Questions to ask yourself before you write your talk, 1. how much time do you have, 2. who will you speak to, 3. what do you want the audience to learn from your talk, step 1: outline your presentation, step 2: plan your presentation slides, step 3: make the presentation slides, slide design, text elements, animations and transitions, step 4: practice your presentation, final thoughts, frequently asked questions about preparing scientific presentations, related articles.

A good scientific presentation achieves three things: you communicate the science clearly, your research leaves a lasting impression on your audience, and you enhance your reputation as a scientist.

But, what is the best way to prepare for a scientific presentation? How do you start writing a talk? What details do you include, and what do you leave out?

It’s tempting to launch into making lots of slides. But, starting with the slides can mean you neglect the narrative of your presentation, resulting in an overly detailed, boring talk.

The key to making an engaging scientific presentation is to prepare the narrative of your talk before beginning to construct your presentation slides. Planning your talk will ensure that you tell a clear, compelling scientific story that will engage the audience.

In this guide, you’ll find everything you need to know to make a good oral scientific presentation, including:

The different types of oral scientific presentations and how they are delivered;
How to outline a scientific presentation;
How to make slides for a scientific presentation.

Our advice results from delving into the literature on writing scientific talks and from our own experiences as scientists in giving and listening to presentations. We provide tips and best practices for giving scientific talks in a separate post.

There are two main types of scientific talks:

Your talk focuses on a single study . Typically, you tell the story of a single scientific paper. This format is common for short talks at contributed sessions in conferences.
Your talk describes multiple studies. You tell the story of multiple scientific papers. It is crucial to have a theme that unites the studies, for example, an overarching question or problem statement, with each study representing specific but different variations of the same theme. Typically, PhD defenses, invited seminars, lectures, or talks for a prospective employer (i.e., “job talks”) fall into this category.

➡️ Learn how to prepare an excellent thesis defense

The length of time you are allotted for your talk will determine whether you will discuss a single study or multiple studies, and which details to include in your story.

The background and interests of your audience will determine the narrative direction of your talk, and what devices you will use to get their attention. Will you be speaking to people specializing in your field, or will the audience also contain people from disciplines other than your own? To reach non-specialists, you will need to discuss the broader implications of your study outside your field.

The needs of the audience will also determine what technical details you will include, and the language you will use. For example, an undergraduate audience will have different needs than an audience of seasoned academics. Students will require a more comprehensive overview of background information and explanations of jargon but will need less technical methodological details.

Your goal is to speak to the majority. But, make your talk accessible to the least knowledgeable person in the room.

This is called the thesis statement, or simply the “take-home message”. Having listened to your talk, what message do you want the audience to take away from your presentation? Describe the main idea in one or two sentences. You want this theme to be present throughout your presentation. Again, the thesis statement will depend on the audience and the type of talk you are giving.

Your thesis statement will drive the narrative for your talk. By deciding the take-home message you want to convince the audience of as a result of listening to your talk, you decide how the story of your talk will flow and how you will navigate its twists and turns. The thesis statement tells you the results you need to show, which subsequently tells you the methods or studies you need to describe, which decides the angle you take in your introduction.

➡️ Learn how to write a thesis statement

The goal of your talk is that the audience leaves afterward with a clear understanding of the key take-away message of your research. To achieve that goal, you need to tell a coherent, logical story that conveys your thesis statement throughout the presentation. You can tell your story through careful preparation of your talk.

Preparation of a scientific presentation involves three separate stages: outlining the scientific narrative, preparing slides, and practicing your delivery. Making the slides of your talk without first planning what you are going to say is inefficient.

Here, we provide a 4 step guide to writing your scientific presentation:

Outline your presentation
Plan your presentation slides
Make the presentation slides
Practice your presentation

4 steps for making a scientific presentation.

Writing an outline helps you consider the key pieces of your talk and how they fit together from the beginning, preventing you from forgetting any important details. It also means you avoid changing the order of your slides multiple times, saving you time.

Plan your talk as discrete sections. In the table below, we describe the sections for a single study talk vs. a talk discussing multiple studies:


Introduction	Introduction - main idea behind all studies
Methods	Methods of study 1
Results	Results of study 1
	Summary (take-home message ) of study 1
	Transition to study 2 (can be a visual of your main idea that return to)
	Brief introduction for study 2
	Methods of study 2
	Results of study 2
	Summary of study 2
	Transition to study 3
	Repeat format until done
Summary	Summary of all studies (return to your main idea)
Conclusion	Conclusion

The following tips apply when writing the outline of a single study talk. You can easily adapt this framework if you are writing a talk discussing multiple studies.

Introduction: Writing the introduction can be the hardest part of writing a talk. And when giving it, it’s the point where you might be at your most nervous. But preparing a good, concise introduction will settle your nerves.

The introduction tells the audience the story of why you studied your topic. A good introduction succinctly achieves four things, in the following order.

It gives a broad perspective on the problem or topic for people in the audience who may be outside your discipline (i.e., it explains the big-picture problem motivating your study).
It describes why you did the study, and why the audience should care.
It gives a brief indication of how your study addressed the problem and provides the necessary background information that the audience needs to understand your work.
It indicates what the audience will learn from the talk, and prepares them for what will come next.

A good introduction not only gives the big picture and motivations behind your study but also concisely sets the stage for what the audience will learn from the talk (e.g., the questions your work answers, and/or the hypotheses that your work tests). The end of the introduction will lead to a natural transition to the methods.

Give a broad perspective on the problem. The easiest way to start with the big picture is to think of a hook for the first slide of your presentation. A hook is an opening that gets the audience’s attention and gets them interested in your story. In science, this might take the form of a why, or a how question, or it could be a statement about a major problem or open question in your field. Other examples of hooks include quotes, short anecdotes, or interesting statistics.

Why should the audience care? Next, decide on the angle you are going to take on your hook that links to the thesis of your talk. In other words, you need to set the context, i.e., explain why the audience should care. For example, you may introduce an observation from nature, a pattern in experimental data, or a theory that you want to test. The audience must understand your motivations for the study.

Supplementary details. Once you have established the hook and angle, you need to include supplementary details to support them. For example, you might state your hypothesis. Then go into previous work and the current state of knowledge. Include citations of these studies. If you need to introduce some technical methodological details, theory, or jargon, do it here.

Conclude your introduction. The motivation for the work and background information should set the stage for the conclusion of the introduction, where you describe the goals of your study, and any hypotheses or predictions. Let the audience know what they are going to learn.

Methods: The audience will use your description of the methods to assess the approach you took in your study and to decide whether your findings are credible. Tell the story of your methods in chronological order. Use visuals to describe your methods as much as possible. If you have equations, make sure to take the time to explain them. Decide what methods to include and how you will show them. You need enough detail so that your audience will understand what you did and therefore can evaluate your approach, but avoid including superfluous details that do not support your main idea. You want to avoid the common mistake of including too much data, as the audience can read the paper(s) later.

Results: This is the evidence you present for your thesis. The audience will use the results to evaluate the support for your main idea. Choose the most important and interesting results—those that support your thesis. You don’t need to present all the results from your study (indeed, you most likely won’t have time to present them all). Break down complex results into digestible pieces, e.g., comparisons over multiple slides (more tips in the next section).

Summary: Summarize your main findings. Displaying your main findings through visuals can be effective. Emphasize the new contributions to scientific knowledge that your work makes.

Conclusion: Complete the circle by relating your conclusions to the big picture topic in your introduction—and your hook, if possible. It’s important to describe any alternative explanations for your findings. You might also speculate on future directions arising from your research. The slides that comprise your conclusion do not need to state “conclusion”. Rather, the concluding slide title should be a declarative sentence linking back to the big picture problem and your main idea.

It’s important to end well by planning a strong closure to your talk, after which you will thank the audience. Your closing statement should relate to your thesis, perhaps by stating it differently or memorably. Avoid ending awkwardly by memorizing your closing sentence.

By now, you have an outline of the story of your talk, which you can use to plan your slides. Your slides should complement and enhance what you will say. Use the following steps to prepare your slides.

Write the slide titles to match your talk outline. These should be clear and informative declarative sentences that succinctly give the main idea of the slide (e.g., don’t use “Methods” as a slide title). Have one major idea per slide. In a YouTube talk on designing effective slides , researcher Michael Alley shows examples of instructive slide titles.
Decide how you will convey the main idea of the slide (e.g., what figures, photographs, equations, statistics, references, or other elements you will need). The body of the slide should support the slide’s main idea.
Under each slide title, outline what you want to say, in bullet points.

In sum, for each slide, prepare a title that summarizes its major idea, a list of visual elements, and a summary of the points you will make. Ensure each slide connects to your thesis. If it doesn’t, then you don’t need the slide.

Slides for scientific presentations have three major components: text (including labels and legends), graphics, and equations. Here, we give tips on how to present each of these components.

Have an informative title slide. Include the names of all coauthors and their affiliations. Include an attractive image relating to your study.
Make the foreground content of your slides “pop” by using an appropriate background. Slides that have white backgrounds with black text work well for small rooms, whereas slides with black backgrounds and white text are suitable for large rooms.
The layout of your slides should be simple. Pay attention to how and where you lay the visual and text elements on each slide. It’s tempting to cram information, but you need lots of empty space. Retain space at the sides and bottom of your slides.
Use sans serif fonts with a font size of at least 20 for text, and up to 40 for slide titles. Citations can be in 14 font and should be included at the bottom of the slide.
Use bold or italics to emphasize words, not underlines or caps. Keep these effects to a minimum.
Use concise text . You don’t need full sentences. Convey the essence of your message in as few words as possible. Write down what you’d like to say, and then shorten it for the slide. Remove unnecessary filler words.
Text blocks should be limited to two lines. This will prevent you from crowding too much information on the slide.
Include names of technical terms in your talk slides, especially if they are not familiar to everyone in the audience.
Proofread your slides. Typos and grammatical errors are distracting for your audience.
Include citations for the hypotheses or observations of other scientists.
Good figures and graphics are essential to sustain audience interest. Use graphics and photographs to show the experiment or study system in action and to explain abstract concepts.
Don’t use figures straight from your paper as they may be too detailed for your talk, and details like axes may be too small. Make new versions if necessary. Make them large enough to be visible from the back of the room.
Use graphs to show your results, not tables. Tables are difficult for your audience to digest! If you must present a table, keep it simple.
Label the axes of graphs and indicate the units. Label important components of graphics and photographs and include captions. Include sources for graphics that are not your own.
Explain all the elements of a graph. This includes the axes, what the colors and markers mean, and patterns in the data.
Use colors in figures and text in a meaningful, not random, way. For example, contrasting colors can be effective for pointing out comparisons and/or differences. Don’t use neon colors or pastels.
Use thick lines in figures, and use color to create contrasts in the figures you present. Don’t use red/green or red/blue combinations, as color-blind audience members can’t distinguish between them.
Arrows or circles can be effective for drawing attention to key details in graphs and equations. Add some text annotations along with them.
Write your summary and conclusion slides using graphics, rather than showing a slide with a list of bullet points. Showing some of your results again can be helpful to remind the audience of your message.
If your talk has equations, take time to explain them. Include text boxes to explain variables and mathematical terms, and put them under each term in the equation.
Combine equations with a graphic that shows the scientific principle, or include a diagram of the mathematical model.
Use animations judiciously. They are helpful to reveal complex ideas gradually, for example, if you need to make a comparison or contrast or to build a complicated argument or figure. For lists, reveal one bullet point at a time. New ideas appearing sequentially will help your audience follow your logic.
Slide transitions should be simple. Silly ones distract from your message.
Decide how you will make the transition as you move from one section of your talk to the next. For example, if you spend time talking through details, provide a summary afterward, especially in a long talk. Another common tactic is to have a “home slide” that you return to multiple times during the talk that reinforces your main idea or message. In her YouTube talk on designing effective scientific presentations , Stanford biologist Susan McConnell suggests using the approach of home slides to build a cohesive narrative.

To deliver a polished presentation, it is essential to practice it. Here are some tips.

For your first run-through, practice alone. Pay attention to your narrative. Does your story flow naturally? Do you know how you will start and end? Are there any awkward transitions? Do animations help you tell your story? Do your slides help to convey what you are saying or are they missing components?
Next, practice in front of your advisor, and/or your peers (e.g., your lab group). Ask someone to time your talk. Take note of their feedback and the questions that they ask you (you might be asked similar questions during your real talk).
Edit your talk, taking into account the feedback you’ve received. Eliminate superfluous slides that don’t contribute to your takeaway message.
Practice as many times as needed to memorize the order of your slides and the key transition points of your talk. However, don’t try to learn your talk word for word. Instead, memorize opening and closing statements, and sentences at key junctures in the presentation. Your presentation should resemble a serious but spontaneous conversation with the audience.
Practicing multiple times also helps you hone the delivery of your talk. While rehearsing, pay attention to your vocal intonations and speed. Make sure to take pauses while you speak, and make eye contact with your imaginary audience.
Make sure your talk finishes within the allotted time, and remember to leave time for questions. Conferences are particularly strict on run time.
Anticipate questions and challenges from the audience, and clarify ambiguities within your slides and/or speech in response.
If you anticipate that you could be asked questions about details but you don’t have time to include them, or they detract from the main message of your talk, you can prepare slides that address these questions and place them after the final slide of your talk.

➡️ More tips for giving scientific presentations

An organized presentation with a clear narrative will help you communicate your ideas effectively, which is essential for engaging your audience and conveying the importance of your work. Taking time to plan and outline your scientific presentation before writing the slides will help you manage your nerves and feel more confident during the presentation, which will improve your overall performance.

A good scientific presentation has an engaging scientific narrative with a memorable take-home message. It has clear, informative slides that enhance what the speaker says. You need to practice your talk many times to ensure you deliver a polished presentation.

First, consider who will attend your presentation, and what you want the audience to learn about your research. Tailor your content to their level of knowledge and interests. Second, create an outline for your presentation, including the key points you want to make and the evidence you will use to support those points. Finally, practice your presentation several times to ensure that it flows smoothly and that you are comfortable with the material.

Prepare an opening that immediately gets the audience’s attention. A common device is a why or a how question, or a statement of a major open problem in your field, but you could also start with a quote, interesting statistic, or case study from your field.

Scientific presentations typically either focus on a single study (e.g., a 15-minute conference presentation) or tell the story of multiple studies (e.g., a PhD defense or 50-minute conference keynote talk). For a single study talk, the structure follows the scientific paper format: Introduction, Methods, Results, Summary, and Conclusion, whereas the format of a talk discussing multiple studies is more complex, but a theme unifies the studies.

Ensure you have one major idea per slide, and convey that idea clearly (through images, equations, statistics, citations, video, etc.). The slide should include a title that summarizes the major point of the slide, should not contain too much text or too many graphics, and color should be used meaningfully.

Chapter 20. Presentations

Introduction.

If a tree falls in a forest, and no one is around to hear it, does it make a sound? If a qualitative study is conducted, but it is not presented (in words or text), did it really happen? Perhaps not. Findings from qualitative research are inextricably tied up with the way those findings are presented. These presentations do not always need to be in writing, but they need to happen. Think of ethnographies, for example, and their thick descriptions of a particular culture. Witnessing a culture, taking fieldnotes, talking to people—none of those things in and of themselves convey the culture. Or think about an interview-based phenomenological study. Boxes of interview transcripts might be interesting to read through, but they are not a completed study without the intervention of hours of analysis and careful selection of exemplary quotes to illustrate key themes and final arguments and theories. And unlike much quantitative research in the social sciences, where the final write-up neatly reports the results of analyses, the way the “write-up” happens is an integral part of the analysis in qualitative research. Once again, we come back to the messiness and stubborn unlinearity of qualitative research. From the very beginning, when designing the study, imagining the form of its ultimate presentation is helpful.

Because qualitative researchers are motivated by understanding and conveying meaning, effective communication is not only an essential skill but a fundamental facet of the entire research project. Ethnographers must be able to convey a certain sense of verisimilitude, the appearance of true reality. Those employing interviews must faithfully depict the key meanings of the people they interviewed in a way that rings true to those people, even if the end result surprises them. And all researchers must strive for clarity in their publications so that various audiences can understand what was found and why it is important. This chapter will address how to organize various kinds of presentations for different audiences so that your results can be appreciated and understood.

In the world of academic science, social or otherwise, the primary audience for a study’s results is usually the academic community, and the primary venue for communicating to this audience is the academic journal. Journal articles are typically fifteen to thirty pages in length (8,000 to 12,000 words). Although qualitative researchers often write and publish journal articles—indeed, there are several journals dedicated entirely to qualitative research [1] —the best writing by qualitative researchers often shows up in books. This is because books, running from 80,000 to 150,000 words in length, allow the researcher to develop the material fully. You have probably read some of these in various courses you have taken, not realizing what they are. I have used examples of such books throughout this text, beginning with the three profiles in the introductory chapter. In some instances, the chapters in these books began as articles in academic journals (another indication that the journal article format somewhat limits what can be said about the study overall).

While the article and the book are “final” products of qualitative research, there are actually a few other presentation formats that are used along the way. At the very beginning of a research study, it is often important to have a written research proposal not just to clarify to yourself what you will be doing and when but also to justify your research to an outside agency, such as an institutional review board (IRB; see chapter 12), or to a potential funder, which might be your home institution, a government funder (such as the National Science Foundation, or NSF), or a private foundation (such as the Gates Foundation). As you get your research underway, opportunities will arise to present preliminary findings to audiences, usually through presentations at academic conferences. These presentations can provide important feedback as you complete your analyses. Finally, if you are completing a degree and looking to find an academic job, you will be asked to provide a “job talk,” usually about your research. These job talks are similar to conference presentations but can run significantly longer.

All the presentations mentioned so far are (mostly) for academic audiences. But qualitative research is also unique in that many of its practitioners don’t want to confine their presentation only to other academics. Qualitative researchers who study particular contexts or cultures might want to report back to the people and places they observed. Those working in the critical tradition might want to raise awareness of a particular issue to as large an audience as possible. Many others simply want everyday, nonacademic people to read their work, because they think it is interesting and important. To reach a wide audience, the final product can look like almost anything—it can be a poem, a blog, a podcast, even a science fiction short story. And if you are very lucky, it can even be a national or international bestseller.

In this chapter, we are going to stick with the more basic quotidian presentations—the academic paper / research proposal, the conference slideshow presentation / job talk, and the conference poster. We’ll also spend a bit of time on incorporating universal design into your presentations and how to create some especially attractive and impactful visual displays.

Researcher Note

What is the best piece of advice you’ve ever been given about conducting qualitative research?

The best advice I’ve received came from my adviser, Alford Young Jr. He told me to find the “Jessi Streib” answer to my research question, not the “Pierre Bourdieu” answer to my research question. In other words, don’t just say how a famous theorist would answer your question; say something original, something coming from you.

—Jessi Streib, author of The Power of the Past and Privilege Lost

Writing about Your Research

The journal article and the research proposal.

Although the research proposal is written before you have actually done your research and the article is written after all data collection and analysis is complete, there are actually many similarities between the two in terms of organization and purpose. The final article will (probably—depends on how much the research question and focus have shifted during the research itself) incorporate a great deal of what was included in a preliminary research proposal. The average lengths of both a proposal and an article are quite similar, with the “front sections” of the article abbreviated to make space for the findings, discussion of findings, and conclusion.


—	Proposal	Article
Introduction	20%	10%
Formal abstract with keywords	—	300
Overview	300	300
Topic and purpose	200	200
Significance	200	200
Framework and general questions research questions	100	200
Limitations	100	—
Literature Review	30%	10%
Theory grounding/framing the research question or issue	500	350
Review of relevant literature and prior empirical research in areas	1000	650
Design and Methodology	50%	20%
Overall approach and fit to research question	250	200
Case, site, or population selection and sampling strategies	500	400
Access, role, reciprocity, trust, rapport issues	200	150
Reflective biography/situation of self	200	200
Ethical and political considerations	200	200
Data collection methods	500	400
Data management plan	200	—
Timeline	100	—
Data analysis procedures	250	250
Steps taken to ensure reliability, trustworthiness, and credibility	100	200
Findings/Discussion	0%	45%
Themes and patterns; examples	—	3,000
Discussion of findings (tying to theory and lit review)	—	1,500
Final sections	0%	15%
Limitations	—	500
Conclusion	—	1000
TOTAL WORDS	5,000	10,000

Figure 20.1 shows one model for what to include in an article or research proposal, comparing the elements of each with a default word count for each section. Please note that you will want to follow whatever specific guidelines you have been provided by the venue you are submitting the article/proposal to: the IRB, the NSF, the Journal of Qualitative Research . In fact, I encourage you to adapt the default model as needed by swapping out expected word counts for each section and adding or varying the sections to match expectations for your particular publication venue. [2]

You will notice a few things about the default model guidelines. First, while half of the proposal is spent discussing the research design, this section is shortened (but still included) for the article. There are a few elements that only show up in the proposal (e.g., the limitations section is in the introductory section here—it will be more fully developed in the conclusory section in the article). Obviously, you don’t have findings in the proposal, so this is an entirely new section for the article. Note that the article does not include a data management plan or a timeline—two aspects that most proposals require.

It might be helpful to find and maintain examples of successfully written sections that you can use as models for your own writing. I have included a few of these throughout the textbook and have included a few more at the end of this chapter.

Make an Argument

Some qualitative researchers, particularly those engaged in deep ethnographic research, focus their attention primarily if not exclusively on describing the data. They might even eschew the notion that they should make an “argument” about the data, preferring instead to use thick descriptions to convey interpretations. Bracketing the contrast between interpretation and argument for the moment, most readers will expect you to provide an argument about your data, and this argument will be in answer to whatever research question you eventually articulate (remember, research questions are allowed to shift as you get further into data collection and analysis). It can be frustrating to read a well-developed study with clear and elegant descriptions and no argument. The argument is the point of the research, and if you do not have one, 99 percent of the time, you are not finished with your analysis. Calarco ( 2020 ) suggests you imagine a pyramid, with all of your data forming the basis and all of your findings forming the middle section; the top/point of the pyramid is your argument, “what the patterns in your data tell us about how the world works or ought to work” ( 181 ).

The academic community to which you belong will be looking for an argument that relates to or develops theory. This is the theoretical generalizability promise of qualitative research. An academic audience will want to know how your findings relate to previous findings, theories, and concepts (the literature review; see chapter 9). It is thus vitally important that you go back to your literature review (or develop a new one) and draw those connections in your discussion and/or conclusion. When writing to other audiences, you will still want an argument, although it may not be written as a theoretical one. What do I mean by that? Even if you are not referring to previous literature or developing new theories or adapting older ones, a simple description of your findings is like dumping a lot of leaves in the lap of your audience. They still deserve to know about the shape of the forest. Maybe provide them a road map through it. Do this by telling a clear and cogent story about the data. What is the primary theme, and why is it important? What is the point of your research? [3]

A beautifully written piece of research based on participant observation [and/or] interviews brings people to life, and helps the reader understand the challenges people face. You are trying to use vivid, detailed and compelling words to help the reader really understand the lives of the people you studied. And you are trying to connect the lived experiences of these people to a broader conceptual point—so that the reader can understand why it matters. ( Lareau 2021:259 )

Do not hide your argument. Make it the focal point of your introductory section, and repeat it as often as needed to ensure the reader remembers it. I am always impressed when I see researchers do this well (see, e.g., Zelizer 1996 ).

Here are a few other suggestions for writing your article: Be brief. Do not overwhelm the reader with too many words; make every word count. Academics are particularly prone to “overwriting” as a way of demonstrating proficiency. Don’t. When writing your methods section, think about it as a “recipe for your work” that allows other researchers to replicate if they so wish ( Calarco 2020:186 ). Convey all the necessary information clearly, succinctly, and accurately. No more, no less. [4] Do not try to write from “beginning to end” in that order. Certain sections, like the introductory section, may be the last ones you write. I find the methods section the easiest, so I often begin there. Calarco ( 2020 ) begins with an outline of the analysis and results section and then works backward from there to outline the contribution she is making, then the full introduction that serves as a road map for the writing of all sections. She leaves the abstract for the very end. Find what order best works for you.

Presenting at Conferences and Job Talks

Students and faculty are primarily called upon to publicly present their research in two distinct contexts—the academic conference and the “job talk.” By convention, conference presentations usually run about fifteen minutes and, at least in sociology and other social sciences, rely primarily on the use of a slideshow (PowerPoint Presentation or PPT) presentation. You are usually one of three or four presenters scheduled on the same “panel,” so it is an important point of etiquette to ensure that your presentation falls within the allotted time and does not crowd into that of the other presenters. Job talks, on the other hand, conventionally require a forty- to forty-five-minute presentation with a fifteen- to twenty-minute question and answer (Q&A) session following it. You are the only person presenting, so if you run over your allotted time, it means less time for the Q&A, which can disturb some audience members who have been waiting for a chance to ask you something. It is sometimes possible to incorporate questions during your presentation, which allows you to take the entire hour, but you might end up shorting your presentation this way if the questions are numerous. It’s best for beginners to stick to the “ask me at the end” format (unless there is a simple clarifying question that can easily be addressed and makes the presentation run more smoothly, as in the case where you simply forgot to include information on the number of interviews you conducted).

For slideshows, you should allot two or even three minutes for each slide, never less than one minute. And those slides should be clear, concise, and limited. Most of what you say should not be on those slides at all. The slides are simply the main points or a clear image of what you are speaking about. Include bulleted points (words, short phrases), not full sentences. The exception is illustrative quotations from transcripts or fieldnotes. In those cases, keep to one illustrative quote per slide, and if it is long, bold or otherwise, highlight the words or passages that are most important for the audience to notice. [5]

Figure 20.2 provides a possible model for sections to include in either a conference presentation or a job talk, with approximate times and approximate numbers of slides. Note the importance (in amount of time spent) of both the research design and the findings/results sections, both of which have been helpfully starred for you. Although you don’t want to short any of the sections, these two sections are the heart of your presentation.



Introduction	5 min	1	1 min	1
Lit Review (background/justification)	1-2 min	1	3-5 min	2
Research goals/questions	1 min	1	1-2 min	1
Research design/data/methods**	2 min**	1	5 min**	2
Overview	1 min	1	3 min	1
Findings/results**	4-8 min**	4-8	20 min**	4-6
Discussion/implications	1 min	1	5 min	1
Thanks/References	1 min	1	1 min	1

Fig 20.2. Suggested Slideshow Times and Number of Slides

Should you write out your script to read along with your presentation? I have seen this work well, as it prevents presenters from straying off topic and keeps them to the time allotted. On the other hand, these presentations can seem stiff and wooden. Personally, although I have a general script in advance, I like to speak a little more informally and engagingly with each slide, sometimes making connections with previous panelists if I am at a conference. This means I have to pay attention to the time, and I sometimes end up breezing through one section more quickly than I would like. Whatever approach you take, practice in advance. Many times. With an audience. Ask for feedback, and pay attention to any presentation issues that arise (e.g., Do you speak too fast? Are you hard to hear? Do you stumble over a particular word or name?).

Even though there are rules and guidelines for what to include, you will still want to make your presentation as engaging as possible in the little amount of time you have. Calarco ( 2020:274 ) recommends trying one of three story structures to frame your presentation: (1) the uncertain explanation , where you introduce a phenomenon that has not yet been fully explained and then describe how your research is tackling this; (2) the uncertain outcome , where you introduce a phenomenon where the consequences have been unclear and then you reveal those consequences with your research; and (3) the evocative example , where you start with some interesting example from your research (a quote from the interview transcripts, for example) or the real world and then explain how that example illustrates the larger patterns you found in your research. Notice that each of these is a framing story. Framing stories are essential regardless of format!

A Word on Universal Design

Please consider accessibility issues during your presentation, and incorporate elements of universal design into your slideshow. The basic idea behind universal design in presentations is that to the greatest extent possible, all people should be able to view, hear, or otherwise take in your presentation without needing special individual adaptations. If you can make your presentation accessible to people with visual impairment or hearing loss, why not do so? For example, one in twelve men is color-blind, unable to differentiate between certain colors, red/green being the most common problem. So if you design a graphic that relies on red and green bars, some of your audience members may not be able to properly identify which bar means what. Simple contrasts of black and white are much more likely to be visible to all members of your audience. There are many other elements of good universal design, but the basic foundation of all of them is that you consider how to make your presentation as accessible as possible at the outset. For example, include captions whenever possible, both as descriptions on slides and as images on slides and for any audio or video clips you are including; keep font sizes large enough to read from the back of the room; and face the audience when you are.

Poster Design

Undergraduate students who present at conferences are often encouraged to present at “poster sessions.” This usually means setting up a poster version of your research in a large hall or convention space at a set period of time—ninety minutes is common. Your poster will be one of dozens, and conference-goers will wander through the space, stopping intermittently at posters that attract them. Those who stop by might ask you questions about your research, and you are expected to be able to talk intelligently for two or three minutes. It’s a fairly easy way to practice presenting at conferences, which is why so many organizations hold these special poster sessions.

A good poster design will be immediately attractive to passersby and clearly and succinctly describe your research methods, findings, and conclusions. Some students have simply shrunk down their research papers to manageable sizes and then pasted them on a poster, all twelve to fifteen pages of them. Don’t do that! Here are some better suggestions: State the main conclusion of your research in large bold print at the top of your poster, on brightly colored (contrasting) paper, and paste in a QR code that links to your full paper online ( Calarco 2020:280 ). Use the rest of the poster board to provide a couple of highlights and details of the study. For an interview-based study, for example, you will want to put in some details about your sample (including number of interviews) and setting and then perhaps one or two key quotes, also distinguished by contrasting color background.

Incorporating Visual Design in Your Presentations

In addition to ensuring that your presentation is accessible to as large an audience as possible, you also want to think about how to display your data in general, particularly how to use charts and graphs and figures. [6] The first piece of advice is, use them! As the saying goes, a picture is worth a thousand words. If you can cut to the chase with a visually stunning display, do so. But there are visual displays that are stunning, and then there are the tired, hard-to-see visual displays that predominate at conferences. You can do better than most presenters by simply paying attention here and committing yourself to a good design. As with model section passages, keep a file of visual displays that work as models for your own presentations. Find a good guidebook to presenting data effectively (Evergreen 2018 , 2019 ; Schwabisch 2021) , and refer to it often.

Let me make a few suggestions here to get you started. First, test every visual display on a friend or colleague to find out how quickly they can understand the point you are trying to convey. As with reading passages aloud to ensure that your writing works, showing someone your display is the quickest way to find out if it works. Second, put the point in the title of the display! When writing for an academic journal, there will be specific conventions of what to include in the title (full description including methods of analysis, sample, dates), but in a public presentation, there are no limiting rules. So you are free to write as your title “Working-Class College Students Are Three Times as Likely as Their Peers to Drop Out of College,” if that is the point of the graphic display. It certainly helps the communicative aspect. Third, use the themes available to you in Excel for creating graphic displays, but alter them to better fit your needs . Consider adding dark borders to bars and columns, for example, so that they appear crisper for your audience. Include data callouts and labels, and enlarge them so they are clearly visible. When duplicative or otherwise unnecessary, drop distracting gridlines and labels on the y-axis (the vertical one). Don’t go crazy adding different fonts, however—keep things simple and clear. Sans serif fonts (those without the little hooks on the ends of letters) read better from a distance. Try to use the same color scheme throughout, even if this means manually changing the colors of bars and columns. For example, when reporting on working-class college students, I use blue bars, while I reserve green bars for wealthy students and yellow bars for students in the middle. I repeat these colors throughout my presentations and incorporate different colors when talking about other items or factors. You can also try using simple grayscale throughout, with pops of color to indicate a bar or column or line that is of the most interest. These are just some suggestions. The point is to take presentation seriously and to pay attention to visual displays you are using to ensure they effectively communicate what you want them to communicate. I’ve included a data visualization checklist from Evergreen ( 2018 ) here.

Ethics of Presentation and Reliability

Until now, all the data you have collected have been yours alone. Once you present the data, however, you are sharing sometimes very intimate information about people with a broader public. You will find yourself balancing between protecting the privacy of those you’ve interviewed and observed and needing to demonstrate the reliability of the study. The more information you provide to your audience, the more they can understand and appreciate what you have found, but this also may pose risks to your participants. There is no one correct way to go about finding the right balance. As always, you have a duty to consider what you are doing and must make some hard decisions.

The most obvious place we see this paradox emerge is when you mask your data to protect the privacy of your participants. It is standard practice to provide pseudonyms, for example. It is such standard practice that you should always assume you are being given a pseudonym when reading a book or article based on qualitative research. When I was a graduate student, I tried to find information on how best to construct pseudonyms but found little guidance. There are some ethical issues here, I think. [7] Do you create a name that has the same kind of resonance as the original name? If the person goes by a nickname, should you use a nickname as a pseudonym? What about names that are ethnically marked (as in, almost all of them)? Is there something unethical about reracializing a person? (Yes!) In her study of adolescent subcultures, Wilkins ( 2008 ) noted, “Because many of the goths used creative, alternative names rather than their given names, I did my best to reproduce the spirit of their chosen names” ( 24 ).

Your reader or audience will want to know all the details about your participants so that they can gauge both your credibility and the reliability of your findings. But how many details are too many? What if you change the name but otherwise retain all the personal pieces of information about where they grew up, and how old they were when they got married, and how many children they have, and whether they made a splash in the news cycle that time they were stalked by their ex-boyfriend? At some point, those details are going to tip over into the zone of potential unmasking. When you are doing research at one particular field site that may be easily ascertained (as when you interview college students, probably at the institution at which you are a student yourself), it is even more important to be wary of providing too many details. You also need to think that your participants might read what you have written, know things about the site or the population from which you drew your interviews, and figure out whom you are talking about. This can all get very messy if you don’t do more than simply pseudonymize the people you interviewed or observed.

There are some ways to do this. One, you can design a study with all of these risks in mind. That might mean choosing to conduct interviews or observations at multiple sites so that no one person can be easily identified. Another is to alter some basic details about your participants to protect their identity or to refuse to provide all the information when selecting quotes . Let’s say you have an interviewee named “Anna” (a pseudonym), and she is a twenty-four-year-old Latina studying to be an engineer. You want to use a quote from Anna about racial discrimination in her graduate program. Instead of attributing the quote to Anna (whom your reader knows, because you’ve already told them, is a twenty-four-year-old Latina studying engineering), you might simply attribute the quote to “Latina student in STEM.” Taking this a step further, you might leave the quote unattributed, providing a list of quotes about racial discrimination by “various students.”

The problem with masking all the identifiers, of course, is that you lose some of the analytical heft of those attributes. If it mattered that Anna was twenty-four (not thirty-four) and that she was a Latina and that she was studying engineering, taking out any of those aspects of her identity might weaken your analysis. This is one of those “hard choices” you will be called on to make! A rather radical and controversial solution to this dilemma is to create composite characters , characters based on the reality of the interviews but fully masked because they are not identifiable with any one person. My students are often very queasy about this when I explain it to them. The more positivistic your approach and the more you see individuals rather than social relationships/structure as the “object” of your study, the more employing composites will seem like a really bad idea. But composites “allow researchers to present complex, situated accounts from individuals” without disclosing personal identities ( Willis 2019 ), and they can be effective ways of presenting theory narratively ( Hurst 2019 ). Ironically, composites permit you more latitude when including “dirty laundry” or stories that could harm individuals if their identities became known. Rather than squeezing out details that could identify a participant, the identities are permanently removed from the details. Great difficulty remains, however, in clearly explaining the theoretical use of composites to your audience and providing sufficient information on the reliability of the underlying data.

There are a host of other ethical issues that emerge as you write and present your data. This is where being reflective throughout the process will help. How and what you share of what you have learned will depend on the social relationships you have built, the audiences you are writing or speaking to, and the underlying animating goals of your study. Be conscious about all of your decisions, and then be able to explain them fully, both to yourself and to those who ask.

Our research is often close to us. As a Black woman who is a first-generation college student and a professional with a poverty/working-class origin, each of these pieces of my identity creates nuances in how I engage in my research, including how I share it out. Because of this, it’s important for us to have people in our lives who we trust who can help us, particularly, when we are trying to share our findings. As researchers, we have been steeped in our work, so we know all the details and nuances. Sometimes we take this for granted, and we might not have shared those nuances in conversation or writing or taken some of this information for granted. As I share my research with trusted friends and colleagues, I pay attention to the questions they ask me or the feedback they give when we talk or when they read drafts.

—Kim McAloney, PhD, College Student Services Administration Ecampus coordinator and instructor

Final Comments: Preparing for Being Challenged

Once you put your work out there, you must be ready to be challenged. Science is a collective enterprise and depends on a healthy give and take among researchers. This can be both novel and difficult as you get started, but the more you understand the importance of these challenges, the easier it will be to develop the kind of thick skin necessary for success in academia. Scientists’ authority rests on both the inherent strength of their findings and their ability to convince other scientists of the reliability and validity and value of those findings. So be prepared to be challenged, and recognize this as simply another important aspect of conducting research!

Considering what challenges might be made as you design and conduct your study will help you when you get to the writing and presentation stage. Address probable challenges in your final article, and have a planned response to probable questions in a conference presentation or job talk. The following is a list of common challenges of qualitative research and how you might best address them:

Questions about generalizability . Although qualitative research is not statistically generalizable (and be prepared to explain why), qualitative research is theoretically generalizable. Discuss why your findings here might tell us something about related phenomena or contexts.
Questions about reliability . You probably took steps to ensure the reliability of your findings. Discuss them! This includes explaining the use and value of multiple data sources and defending your sampling and case selections. It also means being transparent about your own position as researcher and explaining steps you took to ensure that what you were seeing was really there.
Questions about replicability. Although qualitative research cannot strictly be replicated because the circumstances and contexts will necessarily be different (if only because the point in time is different), you should be able to provide as much detail as possible about how the study was conducted so that another researcher could attempt to confirm or disconfirm your findings. Also, be very clear about the limitations of your study, as this allows other researchers insight into what future research might be warranted.

None of this is easy, of course. Writing beautifully and presenting clearly and cogently require skill and practice. If you take anything from this chapter, it is to remember that presentation is an important and essential part of the research process and to allocate time for this as you plan your research.

Data Visualization Checklist for Slideshow (PPT) Presentations

Adapted from Evergreen ( 2018 )

Text checklist

Short catchy, descriptive titles (e.g., “Working-class students are three times as likely to drop out of college”) summarize the point of the visual display
Subtitled and annotations provide additional information (e.g., “note: male students also more likely to drop out”)
Text size is hierarchical and readable (titles are largest; axes labels smallest, which should be at least 20points)
Text is horizontal. Audience members cannot read vertical text!
All data labeled directly and clearly: get rid of those “legends” and embed the data in your graphic display
Labels are used sparingly; avoid redundancy (e.g., do not include both a number axis and a number label)

Arrangement checklist

Proportions are accurate; bar charts should always start at zero; don’t mislead the audience!
Data are intentionally ordered (e.g., by frequency counts). Do not leave ragged alphabetized bar graphs!
Axis intervals are equidistant: spaces between axis intervals should be the same unit
Graph is two-dimensional. Three-dimensional and “bevelled” displays are confusing
There is no unwanted decoration (especially the kind that comes automatically through the PPT “theme”). This wastes your space and confuses.

Color checklist

There is an intentional color scheme (do not use default theme)
Color is used to identify key patterns (e.g., highlight one bar in red against six others in greyscale if this is the bar you want the audience to notice)
Color is still legible when printed in black and white
Color is legible for people with color blindness (do not use red/green or yellow/blue combinations)
There is sufficient contrast between text and background (black text on white background works best; be careful of white on dark!)

Lines checklist

Be wary of using gridlines; if you do, mute them (grey, not black)
Allow graph to bleed into surroundings (don’t use border lines)
Remove axis lines unless absolutely necessary (better to label directly)

Overall design checklist

The display highlights a significant finding or conclusion that your audience can ‘”see” relatively quickly
The type of graph (e.g., bar chart, pie chart, line graph) is appropriate for the data. Avoid pie charts with more than three slices!
Graph has appropriate level of precision; if you don’t need decimal places
All the chart elements work together to reinforce the main message

Universal Design Checklist for Slideshow (PPT) Presentations

Include both verbal and written descriptions (e.g., captions on slides); consider providing a hand-out to accompany the presentation
Microphone available (ask audience in back if they can clearly hear)
Face audience; allow people to read your lips
Turn on captions when presenting audio or video clips
Adjust light settings for visibility
Speak slowly and clearly; practice articulation; don’t mutter or speak under your breath (even if you have something humorous to say – say it loud!)
Use Black/White contrasts for easy visibility; or use color contrasts that are real contrasts (do not rely on people being able to differentiate red from green, for example)
Use easy to read font styles and avoid too small font sizes: think about what an audience member in the back row will be able to see and read.
Keep your slides simple: do not overclutter them; if you are including quotes from your interviews, take short evocative snippets only, and bold key words and passages. You should also read aloud each passage, preferably with feeling!

Supplement: Models of Written Sections for Future Reference

Data collection section example.

Interviews were semi structured, lasted between one and three hours, and took place at a location chosen by the interviewee. Discussions centered on four general topics: (1) knowledge of their parent’s immigration experiences; (2) relationship with their parents; (3) understanding of family labor, including language-brokering experiences; and (4) experiences with school and peers, including any future life plans. While conducting interviews, I paid close attention to respondents’ nonverbal cues, as well as their use of metaphors and jokes. I conducted interviews until I reached a point of saturation, as indicated by encountering repeated themes in new interviews (Glaser and Strauss 1967). Interviews were audio recorded, transcribed with each interviewee’s permission, and conducted in accordance with IRB protocols. Minors received permission from their parents before participation in the interview. ( Kwon 2022:1832 )

Justification of Case Selection / Sample Description Section Example

Looking at one profession within one organization and in one geographic area does impose limitations on the generalizability of our findings. However, it also has advantages. We eliminate the problem of interorganizational heterogeneity. If multiple organizations are studied simultaneously, it can make it difficult to discern the mechanisms that contribute to racial inequalities. Even with a single occupation there is considerable heterogeneity, which may make understanding how organizational structure impacts worker outcomes difficult. By using the case of one group of professionals in one religious denomination in one geographic region of the United States, we clarify how individuals’ perceptions and experiences of occupational inequality unfold in relation to a variety of observed and unobserved occupational and contextual factors that might be obscured in a larger-scale study. Focusing on a specific group of professionals allows us to explore and identify ways that formal organizational rules combine with informal processes to contribute to the persistence of racial inequality. ( Eagle and Mueller 2022:1510–1511 )

Ethics Section Example

I asked everyone who was willing to sit for a formal interview to speak only for themselves and offered each of them a prepaid Visa Card worth $25–40. I also offered everyone the opportunity to keep the card and erase the tape completely at any time they were dissatisfied with the interview in any way. No one asked for the tape to be erased; rather, people remarked on the interview being a really good experience because they felt heard. Each interview was professionally transcribed and for the most part the excerpts are literal transcriptions. In a few places, the excerpts have been edited to reduce colloquial features of speech (e.g., you know, like, um) and some recursive elements common to spoken language. A few excerpts were placed into standard English for clarity. I made this choice for the benefit of readers who might otherwise find the insights and ideas harder to parse in the original. However, I have to acknowledge this as an act of class-based violence. I tried to keep the original phrasing whenever possible. ( Pascale 2021:235 )

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Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

Qualitative vs. quantitative : Will your data take the form of words or numbers?
Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

For quantitative data, you can use statistical analysis methods to test relationships between variables.
For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .


Qualitative		to broader populations. .
Quantitative		.

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.


Primary	.	methods.
Secondary

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.


Descriptive		. .
Experimental

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Research methods for collecting data
Research method	Primary or secondary?	Qualitative or quantitative?	When to use
	Primary	Quantitative	To test cause-and-effect relationships.
	Primary	Quantitative	To understand general characteristics of a population.
Interview/focus group	Primary	Qualitative	To gain more in-depth understanding of a topic.
Observation	Primary	Either	To understand how something occurs in its natural setting.
	Secondary	Either	To situate your research in an existing body of work, or to evaluate trends within a research topic.
	Either	Either	To gain an in-depth understanding of a specific group or context, or when you don’t have the resources for a large study.

Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

During an experiment .
Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

Research methods for analyzing data
Research method	Qualitative or quantitative?	When to use
	Quantitative	To analyze data collected in a statistically valid manner (e.g. from experiments, surveys, and observations).
Meta-analysis	Quantitative	To statistically analyze the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner.
	Qualitative	To analyze data collected from interviews, , or textual sources. To understand general themes in the data and how they are communicated.
	Either	To analyze large volumes of textual or visual data collected from surveys, literature reviews, or other sources. Can be quantitative (i.e. frequencies of words) or qualitative (i.e. meanings of words).

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

Chi square test of independence
Statistical power
Descriptive statistics
Degrees of freedom
Pearson correlation
Null hypothesis
Double-blind study
Case-control study
Research ethics
Data collection
Hypothesis testing
Structured interviews

Research bias

Hawthorne effect
Unconscious bias
Recall bias
Halo effect
Self-serving bias
Information bias

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

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

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

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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

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

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

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

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

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

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Open Access

Ten simple rules for effective presentation slides

* E-mail: [email protected]

Affiliation Biomedical Engineering and the Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America

Kristen M. Naegle

Published: December 2, 2021

https://doi.org/10.1371/journal.pcbi.1009554
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Citation: Naegle KM (2021) Ten simple rules for effective presentation slides. PLoS Comput Biol 17(12): e1009554. https://doi.org/10.1371/journal.pcbi.1009554

Copyright: © 2021 Kristen M. Naegle. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The author received no specific funding for this work.

Competing interests: The author has declared no competing interests exist.

Introduction

The “presentation slide” is the building block of all academic presentations, whether they are journal clubs, thesis committee meetings, short conference talks, or hour-long seminars. A slide is a single page projected on a screen, usually built on the premise of a title, body, and figures or tables and includes both what is shown and what is spoken about that slide. Multiple slides are strung together to tell the larger story of the presentation. While there have been excellent 10 simple rules on giving entire presentations [ 1 , 2 ], there was an absence in the fine details of how to design a slide for optimal effect—such as the design elements that allow slides to convey meaningful information, to keep the audience engaged and informed, and to deliver the information intended and in the time frame allowed. As all research presentations seek to teach, effective slide design borrows from the same principles as effective teaching, including the consideration of cognitive processing your audience is relying on to organize, process, and retain information. This is written for anyone who needs to prepare slides from any length scale and for most purposes of conveying research to broad audiences. The rules are broken into 3 primary areas. Rules 1 to 5 are about optimizing the scope of each slide. Rules 6 to 8 are about principles around designing elements of the slide. Rules 9 to 10 are about preparing for your presentation, with the slides as the central focus of that preparation.

Rule 1: Include only one idea per slide

Each slide should have one central objective to deliver—the main idea or question [ 3 – 5 ]. Often, this means breaking complex ideas down into manageable pieces (see Fig 1 , where “background” information has been split into 2 key concepts). In another example, if you are presenting a complex computational approach in a large flow diagram, introduce it in smaller units, building it up until you finish with the entire diagram. The progressive buildup of complex information means that audiences are prepared to understand the whole picture, once you have dedicated time to each of the parts. You can accomplish the buildup of components in several ways—for example, using presentation software to cover/uncover information. Personally, I choose to create separate slides for each piece of information content I introduce—where the final slide has the entire diagram, and I use cropping or a cover on duplicated slides that come before to hide what I’m not yet ready to include. I use this method in order to ensure that each slide in my deck truly presents one specific idea (the new content) and the amount of the new information on that slide can be described in 1 minute (Rule 2), but it comes with the trade-off—a change to the format of one of the slides in the series often means changes to all slides.

PPT PowerPoint slide
PNG larger image
TIFF original image

Top left: A background slide that describes the background material on a project from my lab. The slide was created using a PowerPoint Design Template, which had to be modified to increase default text sizes for this figure (i.e., the default text sizes are even worse than shown here). Bottom row: The 2 new slides that break up the content into 2 explicit ideas about the background, using a central graphic. In the first slide, the graphic is an explicit example of the SH2 domain of PI3-kinase interacting with a phosphorylation site (Y754) on the PDGFR to describe the important details of what an SH2 domain and phosphotyrosine ligand are and how they interact. I use that same graphic in the second slide to generalize all binding events and include redundant text to drive home the central message (a lot of possible interactions might occur in the human proteome, more than we can currently measure). Top right highlights which rules were used to move from the original slide to the new slide. Specific changes as highlighted by Rule 7 include increasing contrast by changing the background color, increasing font size, changing to sans serif fonts, and removing all capital text and underlining (using bold to draw attention). PDGFR, platelet-derived growth factor receptor.

https://doi.org/10.1371/journal.pcbi.1009554.g001

Rule 2: Spend only 1 minute per slide

When you present your slide in the talk, it should take 1 minute or less to discuss. This rule is really helpful for planning purposes—a 20-minute presentation should have somewhere around 20 slides. Also, frequently giving your audience new information to feast on helps keep them engaged. During practice, if you find yourself spending more than a minute on a slide, there’s too much for that one slide—it’s time to break up the content into multiple slides or even remove information that is not wholly central to the story you are trying to tell. Reduce, reduce, reduce, until you get to a single message, clearly described, which takes less than 1 minute to present.

Rule 3: Make use of your heading

When each slide conveys only one message, use the heading of that slide to write exactly the message you are trying to deliver. Instead of titling the slide “Results,” try “CTNND1 is central to metastasis” or “False-positive rates are highly sample specific.” Use this landmark signpost to ensure that all the content on that slide is related exactly to the heading and only the heading. Think of the slide heading as the introductory or concluding sentence of a paragraph and the slide content the rest of the paragraph that supports the main point of the paragraph. An audience member should be able to follow along with you in the “paragraph” and come to the same conclusion sentence as your header at the end of the slide.

Rule 4: Include only essential points

While you are speaking, audience members’ eyes and minds will be wandering over your slide. If you have a comment, detail, or figure on a slide, have a plan to explicitly identify and talk about it. If you don’t think it’s important enough to spend time on, then don’t have it on your slide. This is especially important when faculty are present. I often tell students that thesis committee members are like cats: If you put a shiny bauble in front of them, they’ll go after it. Be sure to only put the shiny baubles on slides that you want them to focus on. Putting together a thesis meeting for only faculty is really an exercise in herding cats (if you have cats, you know this is no easy feat). Clear and concise slide design will go a long way in helping you corral those easily distracted faculty members.

Rule 5: Give credit, where credit is due

An exception to Rule 4 is to include proper citations or references to work on your slide. When adding citations, names of other researchers, or other types of credit, use a consistent style and method for adding this information to your slides. Your audience will then be able to easily partition this information from the other content. A common mistake people make is to think “I’ll add that reference later,” but I highly recommend you put the proper reference on the slide at the time you make it, before you forget where it came from. Finally, in certain kinds of presentations, credits can make it clear who did the work. For the faculty members heading labs, it is an effective way to connect your audience with the personnel in the lab who did the work, which is a great career booster for that person. For graduate students, it is an effective way to delineate your contribution to the work, especially in meetings where the goal is to establish your credentials for meeting the rigors of a PhD checkpoint.

Rule 6: Use graphics effectively

As a rule, you should almost never have slides that only contain text. Build your slides around good visualizations. It is a visual presentation after all, and as they say, a picture is worth a thousand words. However, on the flip side, don’t muddy the point of the slide by putting too many complex graphics on a single slide. A multipanel figure that you might include in a manuscript should often be broken into 1 panel per slide (see Rule 1 ). One way to ensure that you use the graphics effectively is to make a point to introduce the figure and its elements to the audience verbally, especially for data figures. For example, you might say the following: “This graph here shows the measured false-positive rate for an experiment and each point is a replicate of the experiment, the graph demonstrates …” If you have put too much on one slide to present in 1 minute (see Rule 2 ), then the complexity or number of the visualizations is too much for just one slide.

Rule 7: Design to avoid cognitive overload

The type of slide elements, the number of them, and how you present them all impact the ability for the audience to intake, organize, and remember the content. For example, a frequent mistake in slide design is to include full sentences, but reading and verbal processing use the same cognitive channels—therefore, an audience member can either read the slide, listen to you, or do some part of both (each poorly), as a result of cognitive overload [ 4 ]. The visual channel is separate, allowing images/videos to be processed with auditory information without cognitive overload [ 6 ] (Rule 6). As presentations are an exercise in listening, and not reading, do what you can to optimize the ability of the audience to listen. Use words sparingly as “guide posts” to you and the audience about major points of the slide. In fact, you can add short text fragments, redundant with the verbal component of the presentation, which has been shown to improve retention [ 7 ] (see Fig 1 for an example of redundant text that avoids cognitive overload). Be careful in the selection of a slide template to minimize accidentally adding elements that the audience must process, but are unimportant. David JP Phillips argues (and effectively demonstrates in his TEDx talk [ 5 ]) that the human brain can easily interpret 6 elements and more than that requires a 500% increase in human cognition load—so keep the total number of elements on the slide to 6 or less. Finally, in addition to the use of short text, white space, and the effective use of graphics/images, you can improve ease of cognitive processing further by considering color choices and font type and size. Here are a few suggestions for improving the experience for your audience, highlighting the importance of these elements for some specific groups:

Use high contrast colors and simple backgrounds with low to no color—for persons with dyslexia or visual impairment.
Use sans serif fonts and large font sizes (including figure legends), avoid italics, underlining (use bold font instead for emphasis), and all capital letters—for persons with dyslexia or visual impairment [ 8 ].
Use color combinations and palettes that can be understood by those with different forms of color blindness [ 9 ]. There are excellent tools available to identify colors to use and ways to simulate your presentation or figures as they might be seen by a person with color blindness (easily found by a web search).
In this increasing world of virtual presentation tools, consider practicing your talk with a closed captioning system capture your words. Use this to identify how to improve your speaking pace, volume, and annunciation to improve understanding by all members of your audience, but especially those with a hearing impairment.

Rule 8: Design the slide so that a distracted person gets the main takeaway

It is very difficult to stay focused on a presentation, especially if it is long or if it is part of a longer series of talks at a conference. Audience members may get distracted by an important email, or they may start dreaming of lunch. So, it’s important to look at your slide and ask “If they heard nothing I said, will they understand the key concept of this slide?” The other rules are set up to help with this, including clarity of the single point of the slide (Rule 1), titling it with a major conclusion (Rule 3), and the use of figures (Rule 6) and short text redundant to your verbal description (Rule 7). However, with each slide, step back and ask whether its main conclusion is conveyed, even if someone didn’t hear your accompanying dialog. Importantly, ask if the information on the slide is at the right level of abstraction. For example, do you have too many details about the experiment, which hides the conclusion of the experiment (i.e., breaking Rule 1)? If you are worried about not having enough details, keep a slide at the end of your slide deck (after your conclusions and acknowledgments) with the more detailed information that you can refer to during a question and answer period.

Rule 9: Iteratively improve slide design through practice

Well-designed slides that follow the first 8 rules are intended to help you deliver the message you intend and in the amount of time you intend to deliver it in. The best way to ensure that you nailed slide design for your presentation is to practice, typically a lot. The most important aspects of practicing a new presentation, with an eye toward slide design, are the following 2 key points: (1) practice to ensure that you hit, each time through, the most important points (for example, the text guide posts you left yourself and the title of the slide); and (2) practice to ensure that as you conclude the end of one slide, it leads directly to the next slide. Slide transitions, what you say as you end one slide and begin the next, are important to keeping the flow of the “story.” Practice is when I discover that the order of my presentation is poor or that I left myself too few guideposts to remember what was coming next. Additionally, during practice, the most frequent things I have to improve relate to Rule 2 (the slide takes too long to present, usually because I broke Rule 1, and I’m delivering too much information for one slide), Rule 4 (I have a nonessential detail on the slide), and Rule 5 (I forgot to give a key reference). The very best type of practice is in front of an audience (for example, your lab or peers), where, with fresh perspectives, they can help you identify places for improving slide content, design, and connections across the entirety of your talk.

Rule 10: Design to mitigate the impact of technical disasters

The real presentation almost never goes as we planned in our heads or during our practice. Maybe the speaker before you went over time and now you need to adjust. Maybe the computer the organizer is having you use won’t show your video. Maybe your internet is poor on the day you are giving a virtual presentation at a conference. Technical problems are routinely part of the practice of sharing your work through presentations. Hence, you can design your slides to limit the impact certain kinds of technical disasters create and also prepare alternate approaches. Here are just a few examples of the preparation you can do that will take you a long way toward avoiding a complete fiasco:

Save your presentation as a PDF—if the version of Keynote or PowerPoint on a host computer cause issues, you still have a functional copy that has a higher guarantee of compatibility.
In using videos, create a backup slide with screen shots of key results. For example, if I have a video of cell migration, I’ll be sure to have a copy of the start and end of the video, in case the video doesn’t play. Even if the video worked, you can pause on this backup slide and take the time to highlight the key results in words if someone could not see or understand the video.
Avoid animations, such as figures or text that flash/fly-in/etc. Surveys suggest that no one likes movement in presentations [ 3 , 4 ]. There is likely a cognitive underpinning to the almost universal distaste of pointless animations that relates to the idea proposed by Kosslyn and colleagues that animations are salient perceptual units that captures direct attention [ 4 ]. Although perceptual salience can be used to draw attention to and improve retention of specific points, if you use this approach for unnecessary/unimportant things (like animation of your bullet point text, fly-ins of figures, etc.), then you will distract your audience from the important content. Finally, animations cause additional processing burdens for people with visual impairments [ 10 ] and create opportunities for technical disasters if the software on the host system is not compatible with your planned animation.

Conclusions

These rules are just a start in creating more engaging presentations that increase audience retention of your material. However, there are wonderful resources on continuing on the journey of becoming an amazing public speaker, which includes understanding the psychology and neuroscience behind human perception and learning. For example, as highlighted in Rule 7, David JP Phillips has a wonderful TEDx talk on the subject [ 5 ], and “PowerPoint presentation flaws and failures: A psychological analysis,” by Kosslyn and colleagues is deeply detailed about a number of aspects of human cognition and presentation style [ 4 ]. There are many books on the topic, including the popular “Presentation Zen” by Garr Reynolds [ 11 ]. Finally, although briefly touched on here, the visualization of data is an entire topic of its own that is worth perfecting for both written and oral presentations of work, with fantastic resources like Edward Tufte’s “The Visual Display of Quantitative Information” [ 12 ] or the article “Visualization of Biomedical Data” by O’Donoghue and colleagues [ 13 ].

Acknowledgments

I would like to thank the countless presenters, colleagues, students, and mentors from which I have learned a great deal from on effective presentations. Also, a thank you to the wonderful resources published by organizations on how to increase inclusivity. A special thanks to Dr. Jason Papin and Dr. Michael Guertin on early feedback of this editorial.

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3. Teaching VUC for Making Better PowerPoint Presentations. n.d. Available from: https://cft.vanderbilt.edu/guides-sub-pages/making-better-powerpoint-presentations/#baddeley .
8. Creating a dyslexia friendly workplace. Dyslexia friendly style guide. nd. Available from: https://www.bdadyslexia.org.uk/advice/employers/creating-a-dyslexia-friendly-workplace/dyslexia-friendly-style-guide .
9. Cravit R. How to Use Color Blind Friendly Palettes to Make Your Charts Accessible. 2019. Available from: https://venngage.com/blog/color-blind-friendly-palette/ .
10. Making your conference presentation more accessible to blind and partially sighted people. n.d. Available from: https://vocaleyes.co.uk/services/resources/guidelines-for-making-your-conference-presentation-more-accessible-to-blind-and-partially-sighted-people/ .
11. Reynolds G. Presentation Zen: Simple Ideas on Presentation Design and Delivery. 2nd ed. New Riders Pub; 2011.
12. Tufte ER. The Visual Display of Quantitative Information. 2nd ed. Graphics Press; 2001.

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BMJ Journals

Volume 14, Issue 9
SIGNET: protocol for a multicentre, single-blind prospective, group sequential, randomised controlled trial to evaluate the benefits of a single dose of simvastatin given to potential organ donors declared dead by neurological criteria on outcomes in org…
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http://orcid.org/0000-0002-6664-9342 Amy Evans 1 ,
http://orcid.org/0000-0002-2056-5047 Phil Mawson 2 ,
http://orcid.org/0000-0002-7017-7739 Helen Thomas 3 ,
Katie Keen 1 ,
http://orcid.org/0000-0002-0590-4901 Christopher JE Watson 4 ,
http://orcid.org/0000-0002-3283-1947 Daniel Francis McAuley 5 ,
http://orcid.org/0000-0002-2685-4165 Guy A MacGowan 2 , 6 ,
http://orcid.org/0000-0002-3743-2371 Neil S Sheerin 2 ,
http://orcid.org/0000-0003-4822-7223 Andrew Fisher 2 ,
http://orcid.org/0000-0002-2893-3211 James Shaw 2 ,
Hilary Yates 7 ,
Andrea Fallow 7 ,
http://orcid.org/0000-0002-6392-6690 Daphne Kounali 3 ,
Jennifer Banks 3 ,
Margaret Stevens 8 ,
Roshni Paul 1 ,
Renate Hodge 1 ,
Emma Lawson 8 ,
http://orcid.org/0000-0002-5165-3277 Dan Harvey 9 , 10 ,
http://orcid.org/0000-0002-4727-6085 John Dark 2
1 Clinical Trials Unit , NHS Blood and Transplant , Cambridge , UK
2 Newcastle University Faculty of Medical Sciences , Newcastle upon Tyne , UK
3 Clinical Trials Unit , NHS Blood and Transplant , Bristol , UK
4 Department of Surgery , University of Cambridge and the NIHR Cambridge Biomedical Research Centre , Cambridge , UK
5 Centre for Experimental Medicine , Queen's University Belfast , Belfast , UK
6 Newcastle Upon Tyne Hospitals NHS Foundation Trust , Newcastle Upon Tyne , UK
7 Patient and Public Involvement , Newcastle upon Tyne , UK
8 NHS Blood and Transplant Organ Donation , Cambridge , UK
9 Adult Intensive Care , Nottingham University Hospitals NHS Trust , Nottingham , UK
10 NHS Blood & Transplant Organ Donation , Bristol , UK
Correspondence to Mr Phil Mawson; Phil.Mawson{at}newcastle.ac.uk

Introduction Successful organ transplantation in patients with end-stage organ failure improves long-term survival, improves quality of life and reduces costs to the NHS. Despite an increase in the number of deceased organ donors over the last decade, there remains a considerable shortfall of suitable organs available for transplantation. Over half of UK donors are certified dead by neurological criteria following brain stem compression, which leads to severe physiological stress in the donor, combined with a hyperinflammatory state. Brain stem death-related dysfunction is an important reason for poor organ function and hence utilisation. For example, more than 30% of donation after brain stem death cardiac transplant recipients need short-term mechanical cardiac support, reflecting donor heart dysfunction.

A small, randomised study previously showed improved outcomes for cardiac transplant recipients if the donor was given simvastatin. SIGNET takes inspiration from that study and hypothesises a potential reduction in damage to the heart and other organs during the period after diagnosis of death and prior to organ retrieval in donors that receive simvastatin.

Methods and analysis SIGNET is a multicentre, single-blind, prospective, group sequential, randomised controlled trial to evaluate the benefits of a single high dose of simvastatin given to potential organ donors diagnosed dead by neurological criteria on outcomes in all organ recipients. The trial will run across a minimum of 89 UK sites with a recruitment target of 2600 donors over 4 years.

Ethics and dissemination SIGNET received a favourable opinion from the London, Queen Square Research Ethics Committee (Ref: 21/LO/0412) and following approval of substantial amendment 1 in January 2023, the current protocol is version 2 (7 December 2022). Substantial amendment 1 clarified consent procedures and added additional sites and prescribers. Findings from the study will be publicly available and disseminated locally and internationally through manuscript publications in peer-reviewed journals and conference presentations at national and international platforms.

Trial registration number ISRCTN11440354

INTENSIVE & CRITICAL CARE
TRANSPLANT MEDICINE
Randomized Controlled Trial

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ .

https://doi.org/10.1136/bmjopen-2024-086352

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STRENGTHS AND LIMITATIONS OF THIS STUDY

SIGNET uses the UK’s unique infrastructure for organ donation and transplantation (a network of specialist nurses for organ donation and data linkage to the UK Transplant Registry).

SIGNET is the first national UK organ donor intervention study and the methodology is likely to have applications beyond the trial intervention and setting.

At the end of recruitment, SIGNET will be the largest organ donor intervention trial in the world.

SIGNET will look at the effect of simvastatin on recipients of all organs transplanted from donors recruited to the study.

One limitation is that recipient outcomes are limited to those collected on the UK Transplant Registry.

Administrative information

The Newcastle upon Tyne Hospitals NHS Foundation Trust ([email protected]) is the sponsor for SIGNET with responsibility to ensure that the study design meets regulatory standards with arrangements in place for appropriate conduct and reporting (sponsor Ref. 9691).

Trial management of SIGNET has been delegated to NHS Blood and Transplant Clinical Trials Unit (NHSBT CTU) who, in conjunction with chief investigators and coapplicants, produced the protocol and associated study documents. NHSBT CTU oversees trial setup and ensures adherence to trial regulatory standards and safe running of the study aligned to the protocol across NHS Trusts. NHSBT CTU is also responsible for data management, quality assurance and safety monitoring.

The NHSBT CTU statistics team are responsible for the statistical analysis plan and will oversee the ongoing and final analysis of data.

Administration of contracts and finance is delegated to Newcastle University, holder of the study budget and responsible for reporting to the funder.

Introduction

Successful organ transplantation has substantial benefits for all recipients with dramatically improved survival, improved quality of life and reduced costs to the National Health Service (NHS). Median survival after cardiac transplantation is 12 years in the UK with excellent quality of life. 1 2 The health economic advantages are greatest for kidney transplantation, with annual savings twice the recommended National Institute for health and Care Excellence threshold for cost-effectiveness. 3

Despite an increase in the number of deceased organ donors over the last decade, there remains a considerable shortfall of organs available for transplantation. The total number of transplants has been falling since 2017–2018 including a 10% reduction in the number of heart transplants. 4 Across all organs in 2022–2023, 439 patients died waiting and 732 were removed from the waiting list (ultimately leading to death).

Brain stem compression which very frequently leads to a diagnosis of death by neurological criteria also causes severe physiological stress in the donor, combined with a hyperinflammatory state. 5 6 Although thoracic organs offered by donation after brain stem death (DBD) donors are commonly turned down for transplantation due to pre-existing disease (65% of hearts and up to 85% of lungs), brain stem death-related organ dysfunction is an important reason for subsequent poor organ transplant utilisation. Even if organs are deemed transplantable, subsequent organ dysfunction causes morbidity and mortality in recipients, for example, more than 30% of DBD cardiac transplant recipients need short-term mechanical cardiac support, reflecting donor heart dysfunction. Almost all of the 18% mortality in the first year is in this group. It may be possible to prevent or mitigate the degree of organ impairment which occurs during the period of ‘donor management’ after the diagnosis of death. 7

Statins competitively inhibit 3-hydroxy-3-methylglutaryl coenzyme A reductase, an enzyme involved in cholesterol synthesis, especially in the liver. There is evidence that these medications also reduce inflammation in the body and in individual organs. 8 This suggests that statins have the potential to better preserve organs from donors and improve functionality, leading to better outcomes for the recipient. 9 10 This hypothesis is supported by a small randomised prospective study in DBD donors conducted in Finland that found patients receiving a heart transplant from donors that had received simvastatin had a striking reduction in markers of early heart injury, an improvement in early cardiac function and a reduction in early rejection rates. 11 The study also found that statins led to a significant reduction in liver injury (transaminase release on day 7) and a non-significant improvement in lung recipients. There was no difference in early or 1-year survival because the study was not powered for these clinical outcomes. Importantly, there were no safety concerns in any organ recipient group.

A further small study has been published from a group in Sicily. Liver donors were randomised to receive the same drug and dose, simvastatin 80 mg. There was a significant improvement in early allograft function and 6-month survival of recipients who received livers from treated donors compared to those who received livers from the control, untreated donors. 12

Need for a trial

A randomised, controlled trial of simvastatin in addition to standard donor management is needed primarily to determine the effect on patient-centred clinical outcomes in cardiac recipients and to explore secondary outcomes in lung, kidney, liver and pancreas recipients. SIGNET (Statins for Improving orGaN outcomE in Transplantation) is the first national organ donor intervention trial run in the UK.

Delivery of this trial will determine whether giving DBD organ donors a single dose of simvastatin is beneficial for transplant recipients and will contribute towards building the national infrastructure and capacity for interventional research in organ donation and transplantation leading to more high-quality organs available for transplantation.

Aims and objectives

SIGNET will evaluate whether the treatment of potential organ donors with simvastatin added to protocolised care after diagnosis of death by neurological criteria improves outcomes in patients undergoing transplantation. The specific objectives of this trial are to determine if:

Simvastatin given to the donor confers an improvement in clinical outcomes in cardiac transplant recipients.

Simvastatin given to the donor has a beneficial effect on other solid organs, particularly the liver and lung.

Simvastatin is safe in all organ transplant recipients (heart, kidney, lung, liver, pancreas and isolated pancreatic islets).

Trial design

SIGNET is a multicentre, single-blind prospective, group sequential, randomised controlled trial. We aim to include 474 heart transplant recipients from a total of 2600 recruited donors from intensive care units (ICUs) within NHS Trusts with the highest organ donation potential in England, Scotland, Wales and Northern Ireland. A minimum of 89 NHS trusts are expected to participate. Recruitment commenced in September 2021 and will continue for a minimum of 4 years with a 12-month follow-up period for recipients. Recipient follow-up will only use routinely collected data from the UK Transplant Registry (UKTR). The trial will end 15 months after the final donor has been recruited, to allow for the 12-month UKTR follow-up data to be collected for all recipients. Two interim analyses for harm, benefit or futility are incorporated in the design and sample size calculation. These will be carried out after 50% and 75% of the target number of heart transplants have been followed for 30 days.

Eligibility criteria

Potential donors will be considered eligible for enrolment in this trial if they fulfil all the inclusion criteria and none of the exclusion criteria detailed below. There will be no exceptions to eligibility requirements at the time of randomisation.

Inclusion criteria

A patient within a recruiting ICU.

Patient diagnosed dead using neurological criteria.

Consent for organ donation in place, as defined by the Human Tissue Act and accompanying legislation and Codes of Practice.

Study-specific consent from the donor family.

Exclusion criteria

Aged <18 years.

Planned donation after cessation of circulation (DCD).

Known donor allergic hypersensitivity to simvastatin.

Recruitment and consent

Consent for organ donation, and any research included within the organ donation process, is a specialist area of clinical practice and, therefore, SIGNET has been planned in partnership with NHS Blood and Transplant (NHSBT) to enable trial recruitment to form a part of the usual clinical care of donors and their families. The specialist nurse for organ donation (SNOD) has the required training, skills and knowledge to judge how and when to approach families to consider research within the complex organ donation process and has extensive training in consent to fulfil their duties as outlined in the Human Tissue Act.

The SNODs receive training on the SIGNET trial protocol including the key principles of Good Clinical Practice (GCP) and seek specific study consent from donor family members or legal guardians. It is possible that the trial intervention will be more effective the earlier it is given following the diagnosis of death. 13 Considering and prioritising the needs of donor families, ICU staff and the organ donation process, SNODs should seek to reduce the elapsed time between diagnosis of death, approach for organ donation consent, research consent, randomisation and study intervention as much as possible ( figure 1 ). This aligns with NHSBT operational guidance which seeks to minimise the duration of the organ donation process after diagnosis of death.

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SIGNET study flow chart. SIGNET, Statins for Improving orGaN outcomE in Transplantation; ITU, Intensive Therapy Unit; GFR, Glomerular Filtration Rate.

Consent in the organ donation process is regulated by the Human Tissue Act, and implemented by NHSBT in conjunction with operational practices and the HTA code of practice. There is no mechanism for patients to record their views on research within the Organ Donor Register, and consent is required for research from the next of kin as defined by the HTA code.

The rights of the patient (in the case of SIGNET, the patient’s next of kin as defined in the Human Tissue Act) to refuse to participate in the trial without giving a reason will be respected. Should a participant’s next of kin withdraw consent, data obtained up to the point of withdrawal will be kept and included in the analysis.

Potential recipients on the organ transplant waiting list will be provided with a letter and information sheet informing them of the study and how their data will be used. Consent will not be sought from recipients; they will not be known at the time of randomisation and when the organ donors receive the intervention, and we do not anticipate risk to recipients or from the administered intervention remaining active in the recipient.

Randomisation

A centralised web-based randomisation system (Sealed Envelope) will be used and randomise in a 1:1 ratio using permuted blocks of varying, undisclosed size and stratified according to whether the donor was receiving statin therapy at ICU admission.

The ICU and organ donation team caring for donor and family will not be blinded to randomisation. If the patient is randomised to receive 80 mg of simvastatin, the intervention will be prescribed and administered by a member of the ICU team as per local hospital policy. Organ retrieval teams, theatre teams and recipient transplant teams will be blinded. A request to reveal the donor intervention allocation can be made by a potential recipient’s treating consultant by direct communication with the central study team or directly with the donor site principal investigator.

Co-enrolment

Formal co-enrolment is not required with other concurrent studies in critical care as they will have met their primary endpoint (death) before recruitment into SIGNET. It is important that SIGNET is not a barrier to other research, therefore, retrieved organs may enter studies or technological service improvement projects prior to transplantation, and the recipients of organs may consent to subsequent studies. While formal co-enrolment of patients is not required in such circumstances, data sharing agreements between such studies will be considered on an individual study basis by the Trial Management Group in order to ensure confounding is recognised, reduced or excluded.

Intervention

The intervention to be studied is a single dose of simvastatin (80 mg) in comparison to standard donor management in accordance with NHSBT protocolised care. The 80 mg simvastatin tablet will be crushed well and mixed with 20 mL sterile water. It will then be administered via nasogastric (NG) tube. An NG tube is part of the current NHSBT Donor Care Bundle which represents standard therapy in the SIGNET study.

Primary outcome measures

The primary outcome measure is a composite outcome of death, cardiac mechanical circulatory support or renal replacement therapy within the first 30 days post heart transplant.

A robust and clinically meaningful composite primary endpoint has been chosen, encapsulating all early adverse outcomes post heart transplant. These endpoints were supported by the study patient and public engagement representatives, both donor families and previous transplant recipients, as important to patients. Mechanical support is required to support life if there is significant cardiac injury. It has a very significant effect on 1-year mortality, so is effectively a surrogate for early death. The need for renal support is linked to less severe early cardiac injury and resulting systemic hypoperfusion. It again is linked to both 1 year and much later mortality. 14

Secondary outcome measures (including organ specific)

Organ utilisation rate—the proportion of organs offered that were transplanted, for each organ separately.

30-day, 3-month and 12-month graft survival.

30-day, 3-month and 12-month patient survival.

Length of Intensive Therapy Unit (ITU) and hospital stay, with the exception of kidney recipients as these data are not collected on the UKTR.

Cardiac: secondary outcomes

Proportion of recipients requiring cardiac mechanical circulatory support up to 30 days.

Proportion of recipients requiring renal replacement therapy up to 30 days.

30-day patient survival.

3-month and 12-month number of treated rejection episodes.

Primary outcome: 12-month estimated glomerular filtration rate, calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.

Secondary outcomes:

Proportion of recipients with delayed graft function (need for dialysis in first 7 days).

Primary outcome: 3-month graft survival.

Number of days ventilated.

Proportion of recipients with individual postoperative complications—hepatic artery thrombosis, portal vein thrombosis, Inferior vena cava (IVC)/hepatic vein occlusion, haemorrhage requiring reoperation, biliary tract leaks, biliary tract stricture requiring intervention.

12-month serum creatinine, bilirubin and alkaline phosphatase.

Primary outcome: 3-month patient survival.

12-month FEV1 (both absolute and % predicted).

Solitary pancreas and simultaneous pancreas-kidney

Primary outcomes: 3-month pancreas graft survival.

Proportion of recipients with initial graft function.

Causes of graft loss.

Proportion of recipients with pancreatitis up to 3 months.

Pancreas islets

Primary outcomes: 3-month meal tolerance test stimulated C-peptide.

Sample size

The primary outcome is a binary composite outcome in heart transplant recipients, as described in the ‘Primary outcomes measures’ section. UK data from adult DBD heart transplants between April 2016 and March 2019 showed the event rate of this composite outcome was 51.4%. This study is designed to have 90% power to detect a reduction in this composite outcome to 36.0% (a relative risk of 0.7, informed by the Finnish study 11 ) using a 5% level of significance and a two-tailed test.

A group sequential design with O’Brien Fleming stopping boundaries has been used to allow the data monitoring committee (DMC) to review the primary outcome for evidence of harm, benefit or futility after 238 and 356 heart transplant recipients have been followed up for 30 days. Allowing for the interim analyses in this way, the required sample size is 474 heart transplants in total. Using data on the proportion of DBD donors who proceed to heart transplant, and a small loss to follow-up rate of 3%, we need to recruit 2600 donors in total.

Statistical considerations

The primary outcome will be analysed using a mixed logistic regression model, with adjustment for whether the donor was receiving statin therapy at ICU admission and allowing for correlation in recipient outcomes within transplant centres by including a random effect term for transplant centre. The OR, CI and p value for the treatment arm term in this mixed effect model will be the primary analysis.

The three elements of the composite primary outcome will also be assessed as individual secondary outcomes. Other binary outcomes will be analysed using a mixed logistic regression model or competing risks framework as appropriate. Organ utilisation will be analysed for each organ separately using a logistic regression model with adjustment for the use of statin therapy at ICU admission. Three-month and 12-month patient and graft survival will be presented using Kaplan-Meier plots and analysed using Cox proportional hazards regression.

Other outcomes will be presented as mean and SD, or median and IQR as appropriate and analysed using mixed linear regression, Poisson regression, Fine and Gray models or non-parametric methods as appropriate. All organ outcomes will be adjusted for whether the donor was receiving statin therapy at ICU admission and a random effect or frailty term for transplant centre. The kidney transplant outcome analyses will use a cross-classified model to allow for non-nested random effects for transplant centre and donor. Adjustment for other risk factors (published in NHSBT organ-specific reports) will be carefully considered for highly prognostic factors for each organ separately and specified in the statistical analysis plan in advance.

Linked studies

A separate study will investigate the mechanistic effect of simvastatin on donor immunological profiles using plasma samples from donors in both control and intervention arms of the SIGNET study, which will be collected via an existing national biobank (Quality in Organ Donation). 15 A qualitative study of the donor family and clinical team experience of donor interventional studies is being conducted.

Data management

Limited information regarding eligibility, consent, randomisation, treatment and safety in the donor is collected onto paper source data forms by the SNOD and then entered into the study database by the local research teams. The source data form is completed for all donors and the original will be stored at site.

The SIGNET database uses MACRO software provided by Ennov for its database which is Food and Drug Administration (FDA) 21 Code of Federal Regulations (CFR) part 11 and International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) - Guideline for Good Clinical Practice (GCP) compliant. The MACRO database is specifically designed to collect and store clinical trial data and provides the tools to review data and raise queries to site staff to ensure data collection is as accurate as possible before data extraction.

Clinical and safety outcomes in organ recipients from randomised donors will be collected through routinely collected data submitted to the UKTR ( figure 2 ). All UK organ recipients’ clinical outcome data are submitted even if patients transition between transplant centres. The registry is held by NHSBT and outcomes are pseudonymised for analysis. This oversight also enables ongoing monitoring of recruitment figures and data quality.

Trial assessment schedules.

The DMC comprises three clinical specialists and one statistician all entirely independent of sponsor and study team with no competing interests. The DMC has access to unblinded data if required and meets regularly to provide recommendations to the chair of the Trial Steering Committee (TSC), including early closure of the study should they have concerns. Members of the DMC receive DMC reports ahead of meetings and receive reports in a coded fashion and only unblind themselves if they see a need.

Safety reporting for SIGNET refers only to the donor; all clinical outcomes in recipients are secondary outcomes for the study. Serious adverse events, deemed unexpected and related to research procedures, are entered into the database and reported within 24 hours of the local research team becoming aware of the event. Likewise, any protocol deviations or serious breaches of the protocol or GCP should be raised to the study team within this time frame.

Patient and public involvement and engagement

Patient and public involvement and engagement (PPIE) in the development of SIGNET emphasised the value of reducing early post-transplant morbidity which has fed into the study outcomes. The study has a dedicated PPIE panel and PPIE members who sit on the TSC to oversee the study on an ongoing basis and provide input into donor family and recipient-facing materials and to provide a lay perspective to the management of the trial and its dissemination.

Ethics and dissemination

SIGNET received a favourable opinion from the London, Queen Square Research Ethics Committee (Ref: 21/LO/0412). The trial has Health Research Authority approval (IRAS: 288722) to run in the UK and is adopted onto the UKCRN portfolio (CPMS 49404). It should be noted that following discussions with the Medicines and Healthcare products Regulatory Agency, it was agreed that SIGNET was not a Clinical Trial of an Investigational Medicinal Product. This is because although the intervention involves a study medication, it is not a trial of that medication in a research participant, but rather a study of the effect of the addition of that medication to a standard clinical protocol measuring its effects on a specific organ. There is no subsequent medication clinical effect on the recipient, other than the impact on the organ prior to transplant. All the organ outcomes are being measured in the recipient.

Following approval of substantial amendment 1 in January 2023, the current protocol is version 2 (7 December 2022).

We anticipate that results generated from SIGNET will be presented at conferences and published in a high-impact, open-access journal.

Confidentiality

Participants will be identified by an anonymous trial-specific number. The participant’s NHSBT donor ID will be collected in a restricted part of the trial database that is only accessible to the independent statistician and will be used for linkage with other donor data and to access transplant recipient follow-up data. Individual participants will not be identified in the resulting publications and presentations from the trial. This trial will comply with the UK Data Protection Act (2018) and the General Data Protection Regulation.

Access to data and dissemination

Custody of the final data set will reside with the chief investigators (CIs) and NHSBT CTU (for audit purposes) and study results embargoed and not disseminated until authorised by the CIs and TSC. Access to the final data set for additional analyses will only be permitted under the agreement of the TSC. Final manuscripts and presentations will be approved by the CIs and TSC prior to publication. Similarly, any subsequent substudy analysis will require authorisation by the CIs and TSC prior to publication. Substudy manuscripts must not be published prior to the publication of the main study.

Findings from the study will be publicly available and disseminated locally and internationally through manuscript publications in peer-reviewed journals and conference presentations at national and international platforms.

Acknowledgments

We thank the research leads who were instrumental in training all Specialist Nurses in Organ Donation and setting up SIGNET. We thank the regional Clinical Leads for Organ Donation for their support and help in setting up SIGNET and helping to embed the study into practice. We thank the National Organ Donation Committee for supporting SIGNET. This study is funded by the NIHR HTA (NIHR131124). This work was supported in part by the National Institute for Health and Care Research (NIHR) Blood and Transplant Research Unit in Organ Donation and Transplantation (NIHR203332), a partnership between NHS Blood and Transplant, University of Cambridge and Newcastle University.

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Quality in Organ Donation

Contributors JD and DH conceived the study and are guarantors for the overall content. PM, AE, HT, DK, JD and DH drafted the manuscript. JD, DH, AE, HT, DK, KK, CJEW, DFM, GAM, NSS, AF, JS, HY, AF, JB, MS, RP, RH and EL contributed to the study design, refinement and implementation of the protocol and approved the manuscript. DH and JD are joint chief investigators.

Funding This study is funded by the NIHR HTA (NIHR131124).

Disclaimer The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Competing interests JAMS has participated in a Scientific Advisory Board for Mogrify CJEW has received honoraria from Organox.

Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

Provenance and peer review Not commissioned; externally peer reviewed.

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How to Make a Successful Research Presentation
Turning a research paper into a visual presentation is difficult; there are pitfalls, and navigating the path to a brief, informative presentation takes time and practice. As a TA for GEO/WRI 201: Methods in Data Analysis & Scientific Writing this past fall, I saw how this process works from an instructor's standpoint.
Guide to Research Methods
This guide will. Introduce you to a range of research methods. Help you think about the value and limitations of different research methods. Identify when to use alternative research methods. You should use the guide. After or while you establish your research questions (See the Guide to Research Questions) When you are completing your Research ...
Top 10 Research Presentation Templates with Examples and Samples
Template 10: Big Data Analytics Market Research Template. Deploy this template to introduce your company's extensive data analysis to understand the industry landscape, identify objectives, and make informed business decisions. Use this template slide to determine the current market size and growth rate.
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In the case of a research presentation, you want a formal and academic-sounding one. It should include: The full title of the report. The date of the report. The name of the researchers or department in charge of the report. The name of the organization for which the presentation is intended.
Research Methodology
Qualitative Research Methodology. This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.
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Qualitative Presentation Strategies
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Template 13: Graph of Primary Research Methodology PPT Template. Experience the power of data-driven insights with this professional and appealing PPT template. Designed for primary research, this template offers a comprehensive framework that includes field trials, observations, interviews, focus groups, and surveys.
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RESEARCH METHOD VS METHODOLOGY RESEARCH METHOD Methods/techniques that are used for conduction of research APPLIED VS FUNDAMENTAL RESEARCH METHODOLOGY APPLIED An attempt to find a solution to an immediate problem encountered by a firm,an industry,a business organisation ,or the ... Simple presentation background ideas: elevate your visuals with ...
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Chapter Seven: Presenting Your Results
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Take advantage of Dynamic Fields to ensure your data and research information is always up to date and accurate. 4. Visualize Data Instead of Writing Them. When adding facts and figures to your research presentation, harness the power of data visualization. Add charts and graphs to take out most of the text.
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Product: Sage Research Methods Video: Practical Research and Academic Skills; Type of Content: Tutorial Title: Presenting at an Academic Conference: Example Presentation Publisher: SAGE Publications Ltd Series: Presentation Skills; Publication year: 2018; Online pub date: March 05, 2018
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Rule 2: Spend only 1 minute per slide. When you present your slide in the talk, it should take 1 minute or less to discuss. This rule is really helpful for planning purposes—a 20-minute presentation should have somewhere around 20 slides. Also, frequently giving your audience new information to feast on helps keep them engaged.
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How to Make a Successful Research Presentation

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Research Methodology – Types, Examples and writing Guide

Research Methodology

Structure of Research Methodology

Research Methodology Types

Quantitative Research Methodology

Qualitative Research Methodology

Mixed-Methods Research Methodology

Case Study Research Methodology

Action Research Methodology

Experimental Research Methodology

Survey Research Methodology

Grounded Theory Research Methodology

Research Methodology Example

How to Write Research Methodology

When to Write Research Methodology

Applications of Research Methodology

Purpose of Research Methodology

Advantages of Research Methodology

Research Methodology Vs Research Methods

About the author

Muhammad Hassan

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How to Prepare Your Scientific Presentation

What is the Scientific Method?

The Evolution of the Scientific Method

Why is the Scientific Method Important Today?

6 Steps of the Scientific Method

1. Make an Observation

2. Develop a Hypothesis

3. Make a Prediction

4. Perform an Experiment

5. Analyze the Results of the Experiment

6. Draw a Conclusion

How to Give a Scientific Presentation to Showcase Your Methods

1. Open with a Research Question

2. Disclose Your Methods

3. Spotlight the Results

4. Mention Study Limitations

5. Conclude with a Memorable Takeaway Message

To Conclude

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[Guide] How to Present Qualitative Research Findings in PowerPoint?

How to Create a Structure for your Qualitative Research Presentation?

1. Objective of the Research

2. Key Parameters Considered for Measurement

3. Research Methodology Adopted

4. Research Outcomes (Presenting Descriptive Analysis)

5. Summary and Learnings from the Research

6. Inclusions and Exclusions (if any)

7. Conclusion of the Research

8. Questions

Tips for Effectively Presenting Qualitative Research Findings using PowerPoint

Tip 1 – Use Visuals

Tip 2 – Tell a Story (Don’t Show Just Data!)

Tip 3 – Include Quotes of the Participants

1. Use Quotes in their Unedited Form

2. How to Decide which Quotes to Consider?

3. Preserve Identity of the Participant

Tip 4 – Make your Presentation Visually Appealing and Engaging

4.1 Use a Simple Color Scheme

4.2 Make the Data Tables Simple and Visually Appealing

4.3 Use Graphs and Charts (wherever necessary)

4.4 Use Icons instead of Bullet Points

Tip 5 – Include the Outliers

Tip 6 – Take Inspiration from other Presentations

Tip 7 – Ask Others to Critic your Presentation

Final Thoughts

Written Presentation of Results