narrative presentation in research

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

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Narrative Analysis 101

Everything you need to know to get started

By: Ethar Al-Saraf (PhD)| Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to research, the host of qualitative analysis methods available to you can be a little overwhelming. In this post, we’ll  unpack the sometimes slippery topic of narrative analysis . We’ll explain what it is, consider its strengths and weaknesses , and look at when and when not to use this analysis method. 

Overview: Narrative Analysis

• What is narrative analysis (simple definition)
• The two overarching approaches  
• The strengths & weaknesses of narrative analysis
• When (and when not) to use it
• Key takeaways

What Is Narrative Analysis?

Simply put, narrative analysis is a qualitative analysis method focused on interpreting human experiences and motivations by looking closely at the stories (the narratives) people tell in a particular context.

In other words, a narrative analysis interprets long-form participant responses or written stories as data, to uncover themes and meanings . That data could be taken from interviews, monologues, written stories, or even recordings. In other words, narrative analysis can be used on both primary and secondary data to provide evidence from the experiences described.

That’s all quite conceptual, so let’s look at an example of how narrative analysis could be used.

Let’s say you’re interested in researching the beliefs of a particular author on popular culture. In that case, you might identify the characters , plotlines , symbols and motifs used in their stories. You could then use narrative analysis to analyse these in combination and against the backdrop of the relevant context.

This would allow you to interpret the underlying meanings and implications in their writing, and what they reveal about the beliefs of the author. In other words, you’d look to understand the views of the author by analysing the narratives that run through their work.

The Two Overarching Approaches

Generally speaking, there are two approaches that one can take to narrative analysis. Specifically, an inductive approach or a deductive approach. Each one will have a meaningful impact on how you interpret your data and the conclusions you can draw, so it’s important that you understand the difference.

First up is the inductive approach to narrative analysis.

The inductive approach takes a bottom-up view , allowing the data to speak for itself, without the influence of any preconceived notions . With this approach, you begin by looking at the data and deriving patterns and themes that can be used to explain the story, as opposed to viewing the data through the lens of pre-existing hypotheses, theories or frameworks. In other words, the analysis is led by the data.

For example, with an inductive approach, you might notice patterns or themes in the way an author presents their characters or develops their plot. You’d then observe these patterns, develop an interpretation of what they might reveal in the context of the story, and draw conclusions relative to the aims of your research.

Contrasted to this is the deductive approach.

With the deductive approach to narrative analysis, you begin by using existing theories that a narrative can be tested against . Here, the analysis adopts particular theoretical assumptions and/or provides hypotheses, and then looks for evidence in a story that will either verify or disprove them.

For example, your analysis might begin with a theory that wealthy authors only tell stories to get the sympathy of their readers. A deductive analysis might then look at the narratives of wealthy authors for evidence that will substantiate (or refute) the theory and then draw conclusions about its accuracy, and suggest explanations for why that might or might not be the case.

Which approach you should take depends on your research aims, objectives and research questions . If these are more exploratory in nature, you’ll likely take an inductive approach. Conversely, if they are more confirmatory in nature, you’ll likely opt for the deductive approach.

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Strengths & Weaknesses

Now that we have a clearer view of what narrative analysis is and the two approaches to it, it’s important to understand its strengths and weaknesses , so that you can make the right choices in your research project.

A primary strength of narrative analysis is the rich insight it can generate by uncovering the underlying meanings and interpretations of human experience. The focus on an individual narrative highlights the nuances and complexities of their experience, revealing details that might be missed or considered insignificant by other methods.

Another strength of narrative analysis is the range of topics it can be used for. The focus on human experience means that a narrative analysis can democratise your data analysis, by revealing the value of individuals’ own interpretation of their experience in contrast to broader social, cultural, and political factors.

All that said, just like all analysis methods, narrative analysis has its weaknesses. It’s important to understand these so that you can choose the most appropriate method for your particular research project.

The first drawback of narrative analysis is the problem of subjectivity and interpretation . In other words, a drawback of the focus on stories and their details is that they’re open to being understood differently depending on who’s reading them. This means that a strong understanding of the author’s cultural context is crucial to developing your interpretation of the data. At the same time, it’s important that you remain open-minded in how you interpret your chosen narrative and avoid making any assumptions .

A second weakness of narrative analysis is the issue of reliability and generalisation . Since narrative analysis depends almost entirely on a subjective narrative and your interpretation, the findings and conclusions can’t usually be generalised or empirically verified. Although some conclusions can be drawn about the cultural context, they’re still based on what will almost always be anecdotal data and not suitable for the basis of a theory, for example.

Last but not least, the focus on long-form data expressed as stories means that narrative analysis can be very time-consuming . In addition to the source data itself, you will have to be well informed on the author’s cultural context as well as other interpretations of the narrative, where possible, to ensure you have a holistic view. So, if you’re going to undertake narrative analysis, make sure that you allocate a generous amount of time to work through the data.

When To Use Narrative Analysis

As a qualitative method focused on analysing and interpreting narratives describing human experiences, narrative analysis is usually most appropriate for research topics focused on social, personal, cultural , or even ideological events or phenomena and how they’re understood at an individual level.

For example, if you were interested in understanding the experiences and beliefs of individuals suffering social marginalisation, you could use narrative analysis to look at the narratives and stories told by people in marginalised groups to identify patterns , symbols , or motifs that shed light on how they rationalise their experiences.

In this example, narrative analysis presents a good natural fit as it’s focused on analysing people’s stories to understand their views and beliefs at an individual level. Conversely, if your research was geared towards understanding broader themes and patterns regarding an event or phenomena, analysis methods such as content analysis or thematic analysis may be better suited, depending on your research aim .

Let’s recap

In this post, we’ve explored the basics of narrative analysis in qualitative research. The key takeaways are:

• Narrative analysis is a qualitative analysis method focused on interpreting human experience in the form of stories or narratives .
• There are two overarching approaches to narrative analysis: the inductive (exploratory) approach and the deductive (confirmatory) approach.
• Like all analysis methods, narrative analysis has a particular set of strengths and weaknesses .
• Narrative analysis is generally most appropriate for research focused on interpreting individual, human experiences as expressed in detailed , long-form accounts.

If you’d like to learn more about narrative analysis and qualitative analysis methods in general, be sure to check out the rest of the Grad Coach blog here . Alternatively, if you’re looking for hands-on help with your project, take a look at our 1-on-1 private coaching service .

Psst... there’s more!

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

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Thanks. I need examples of narrative analysis

Here are some examples of research topics that could utilise narrative analysis:

Personal Narratives of Trauma: Analysing personal stories of individuals who have experienced trauma to understand the impact, coping mechanisms, and healing processes.

Identity Formation in Immigrant Communities: Examining the narratives of immigrants to explore how they construct and negotiate their identities in a new cultural context.

Media Representations of Gender: Analysing narratives in media texts (such as films, television shows, or advertisements) to investigate the portrayal of gender roles, stereotypes, and power dynamics.

Where can I find an example of a narrative analysis table ?

Please i need help with my project,

how can I cite this article in APA 7th style?

please mention the sources as well.

My research is mixed approach. I use interview,key_inforamt interview,FGD and document.so,which qualitative analysis is appropriate to analyze these data.Thanks

Which qualitative analysis methode is appropriate to analyze data obtain from intetview,key informant intetview,Focus group discussion and document.

I’ve finished my PhD. Now I need a “platform” that will help me objectively ascertain the tacit assumptions that are buried within a narrative. Can you help?

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The Ultimate Guide to Qualitative Research - Part 2: Handling Qualitative Data

• Handling qualitative data
• Transcripts
• Field notes
• Survey data and responses
• Visual and audio data
• Data organization
• Data coding
• Coding frame
• Auto and smart coding
• Organizing codes
• Qualitative data analysis
• Content analysis

Thematic analysis

• Thematic analysis vs. content analysis
• Introduction

Types of narrative research

Research methods for a narrative analysis, narrative analysis, considerations for narrative analysis.

• Phenomenological research
• Discourse analysis
• Grounded theory
• Deductive reasoning
• Inductive reasoning
• Inductive vs. deductive reasoning
• Qualitative data interpretation
• Qualitative analysis software

Narrative analysis in research

Narrative analysis is an approach to qualitative research that involves the documentation of narratives both for the purpose of understanding events and phenomena and understanding how people communicate stories.

Let's look at the basics of narrative research, then examine the process of conducting a narrative inquiry and how ATLAS.ti can help you conduct a narrative analysis.

Qualitative researchers can employ various forms of narrative research, but all of these distinct approaches utilize perspectival data as the means for contributing to theory.

A biography is the most straightforward form of narrative research. Data collection for a biography generally involves summarizing the main points of an individual's life or at least the part of their history involved with events that a researcher wants to examine. Generally speaking, a biography aims to provide a more complete record of an individual person's life in a manner that might dispel any inaccuracies that exist in popular thought or provide a new perspective on that person’s history. Narrative researchers may also construct a new biography of someone who doesn’t have a public or online presence to delve deeper into that person’s history relating to the research topic.

The purpose of biographies as a function of narrative inquiry is to shed light on the lived experience of a particular person that a more casual examination of someone's life might overlook. Newspaper articles and online posts might give someone an overview of information about any individual. At the same time, a more involved survey or interview can provide sufficiently comprehensive knowledge about a person useful for narrative analysis and theoretical development.

Life history

This is probably the most involved form of narrative research as it requires capturing as much of the total human experience of an individual person as possible. While it involves elements of biographical research, constructing a life history also means collecting first-person knowledge from the subject through narrative interviews and observations while drawing on other forms of data , such as field notes and in-depth interviews with others.

Even a newspaper article or blog post about the person can contribute to the contextual meaning informing the life history. The objective of conducting a life history is to construct a complete picture of the person from past to present in a manner that gives your research audience the means to immerse themselves in the human experience of the person you are studying.

Oral history

While all forms of narrative research rely on narrative interviews with research participants, oral histories begin with and branch out from the individual's point of view as the driving force of data collection .

Major events like wars and natural disasters are often observed and described at scale, but a bird's eye view of such events may not provide a complete story. Oral history can assist researchers in providing a unique and perhaps unexplored perspective from in-depth interviews with a narrator's own words of what happened, how they experienced it, and what reasons they give for their actions. Researchers who collect this sort of information can then help fill in the gaps common knowledge may not have grasped.

The objective of an oral history is to provide a perspective built on personal experience. The unique viewpoint that personal narratives can provide has the potential to raise analytical insights that research methods at scale may overlook. Narrative analysis of oral histories can hence illuminate potential inquiries that can be addressed in future studies.

Whatever your research, get it done with ATLAS.ti.

From case study research to interviews, turn to ATLAS.ti for your qualitative research. Click here for a free trial.

To conduct narrative analysis, researchers need a narrative and research question . A narrative alone might make for an interesting story that instills information, but analyzing a narrative to generate knowledge requires ordering that information to identify patterns, intentions, and effects.

Narrative analysis presents a distinctive research approach among various methodologies , and it can pose significant challenges due to its inherent interpretative nature. Essentially, this method revolves around capturing and examining the verbal or written accounts and visual depictions shared by individuals. Narrative inquiry strives to unravel the essence of what is conveyed by closely observing the content and manner of expression.

Furthermore, narrative research assumes a dual role, serving both as a research technique and a subject of investigation. Regarded as "real-world measures," narrative methods provide valuable tools for exploring actual societal issues. The narrative approach encompasses an individual's life story and the profound significance embedded within their lived experiences. Typically, a composite of narratives is synthesized, intermingling and mutually influencing each other.

Designing a research inquiry

Sometimes, narrative research is less about the storyteller or the story they are telling than it is about generating knowledge that contributes to a greater understanding of social behavior and cultural practices. While it might be interesting or useful to hear a comedian tell a story that makes their audience laugh, a narrative analysis of that story can identify how the comedian constructs their narrative or what causes the audience to laugh.

As with all research, a narrative inquiry starts with a research question that is tied to existing relevant theory regarding the object of analysis (i.e., the person or event for which the narrative is constructed). If your research question involves studying racial inequalities in university contexts, for example, then the narrative analysis you are seeking might revolve around the lived experiences of students of color. If you are analyzing narratives from children's stories, then your research question might relate to identifying aspects of children's stories that grab the attention of young readers. The point is that researchers conducting a narrative inquiry do not do so merely to collect more information about their object of inquiry. Ultimately, narrative research is tied to developing a more contextualized or broader understanding of the social world.

Data collection

Having crafted the research questions and chosen the appropriate form of narrative research for your study, you can start to collect your data for the eventual narrative analysis.

Needless to say, the key point in narrative research is the narrative. The story is either the unit of analysis or the focal point from which researchers pursue other methods of research. Interviews and observations are great ways to collect narratives. Particularly with biographies and life histories, one of the best ways to study your object of inquiry is to interview them. If you are conducting narrative research for discourse analysis, then observing or recording narratives (e.g., storytelling, audiobooks, podcasts) is ideal for later narrative analysis.

Triangulating data

If you are collecting a life history or an oral history, then you will need to rely on collecting evidence from different sources to support the analysis of the narrative. In research, triangulation is the concept of drawing on multiple methods or sources of data to get a more comprehensive picture of your object of inquiry.

While a narrative inquiry is constructed around the story or its storyteller, assertions that can be made from an analysis of the story can benefit from supporting evidence (or lack thereof) collected by other means.

Even a lack of supporting evidence might be telling. For example, suppose your object of inquiry tells a story about working minimum wage jobs all throughout college to pay for their tuition. Looking for triangulation, in this case, means searching through records and other forms of information to support the claims being put forth. If it turns out that the storyteller's claims bear further warranting - maybe you discover that family or scholarships supported them during college - your analysis might uncover new inquiries as to why the story was presented the way it was. Perhaps they are trying to impress their audience or construct a narrative identity about themselves that reinforces their thinking about who they are. The important point here is that triangulation is a necessary component of narrative research to learn more about the object of inquiry from different angles.

Conduct data analysis for your narrative research with ATLAS.ti.

Dedicated research software like ATLAS.ti helps the researcher catalog, penetrate, and analyze the data generated in any qualitative research project. Start with a free trial today.

This brings us to the analysis part of narrative research. As explained above, a narrative can be viewed as a straightforward story to understand and internalize. As researchers, however, we have many different approaches available to us for analyzing narrative data depending on our research inquiry.

In this section, we will examine some of the most common forms of analysis while looking at how you can employ tools in ATLAS.ti to analyze your qualitative data .

Qualitative research often employs thematic analysis , which refers to a search for commonly occurring themes that appear in the data. The important point of thematic analysis in narrative research is that the themes arise from the data produced by the research participants. In other words, the themes in a narrative study are strongly based on how the research participants see them rather than focusing on how researchers or existing theory see them.

ATLAS.ti can be used for thematic analysis in any research field or discipline. Data in narrative research is summarized through the coding process , where the researcher codes large segments of data with short, descriptive labels that can succinctly describe the data thematically. The emerging patterns among occurring codes in the perspectival data thus inform the identification of themes that arise from the collected narratives.

Structural analysis

The search for structure in a narrative is less about what is conveyed in the narrative and more about how the narrative is told. The differences in narrative forms ultimately tell us something useful about the meaning-making epistemologies and values of the people telling them and the cultures they inhabit.

Just like in thematic analysis, codes in ATLAS.ti can be used to summarize data, except that in this case, codes could be created to specifically examine structure by identifying the particular parts or moves in a narrative (e.g., introduction, conflict, resolution). Code-Document Analysis in ATLAS.ti can then tell you which of your narratives (represented by discrete documents) contain which parts of a common narrative.

It may also be useful to conduct a content analysis of narratives to analyze them structurally. English has many signal words and phrases (e.g., "for example," "as a result," and "suddenly") to alert listeners and readers that they are coming to a new step in the narrative.

In this case, both the Text Search and Word Frequencies tools in ATLAS.ti can help you identify the various aspects of the narrative structure (including automatically identifying discrete parts of speech) and the frequency in which they occur across different narratives.

Functional analysis

Whereas a straightforward structural analysis identifies the particular parts of a narrative, a functional analysis looks at what the narrator is trying to accomplish through the content and structure of their narrative. For example, if a research participant telling their narrative asks the interviewer rhetorical questions, they might be doing so to make the interviewer think or adopt the participant's perspective.

A functional analysis often requires the researcher to take notes and reflect on their experiences while collecting data from research participants. ATLAS.ti offers a dedicated space for memos , which can serve to jot down useful contextual information that the researcher can refer to while coding and analyzing data.

Dialogic analysis

There is a nuanced difference between what a narrator tries to accomplish when telling a narrative and how the listener is affected by the narrative. There may be an overlap between the two, but the extent to which a narrative might resonate with people can give us useful insights about a culture or society.

The topic of humor is one such area that can benefit from dialogic analysis, considering that there are vast differences in how cultures perceive humor in terms of how a joke is constructed or what cultural references are required to understand a joke.

Imagine that you are analyzing a reading of a children's book in front of an audience of children at a library. If it is supposed to be funny, how do you determine what parts of the book are funny and why?

The coding process in ATLAS.ti can help with dialogic analysis of a transcript from that reading. In such an analysis, you can have two sets of codes, one for thematically summarizing the elements of the book reading and one for marking when the children laugh.

The Code Co-Occurrence Analysis tool can then tell you which codes occur during the times that there is laughter, giving you a sense of what parts of a children's narrative might be funny to its audience.

Narrative analysis and research hold immense significance within the realm of social science research, contributing a distinct and valuable approach. Whether employed as a component of a comprehensive presentation or pursued as an independent scholarly endeavor, narrative research merits recognition as a distinctive form of research and interpretation in its own right.

Subjectivity in narratives

It is crucial to acknowledge that every narrative is intricately intertwined with its cultural milieu and the subjective experiences of the storyteller. While the outcomes of research are undoubtedly influenced by the individual narratives involved, a conscientious adherence to narrative methodology and a critical reflection on one's research can foster transparent and rigorous investigations, minimizing the potential for misunderstandings.

Rather than striving to perceive narratives through an objective lens, it is imperative to contextualize them within their sociocultural fabric. By doing so, an analysis can embrace the diverse array of narratives and enable multiple perspectives to illuminate a phenomenon or story. Embracing such complexity, narrative methodologies find considerable application in social science research.

Connecting narratives to broader phenomena

In employing narrative analysis, researchers delve into the intricate tapestry of personal narratives, carefully considering the multifaceted interplay between individual experiences and broader societal dynamics.

This meticulous approach fosters a deeper understanding of the intricate web of meanings that shape the narratives under examination. Consequently, researchers can uncover rich insights and discern patterns that may have remained hidden otherwise. These can provide valuable contributions to both theory and practice.

In summary, narrative analysis occupies a vital position within social science research. By appreciating the cultural embeddedness of narratives, employing a thoughtful methodology, and critically reflecting on one's research, scholars can conduct robust investigations that shed light on the complexities of human experiences while avoiding potential pitfalls and fostering a nuanced understanding of the narratives explored.

Turn to ATLAS.ti for your narrative analysis.

Researchers can rely on ATLAS.ti for conducting qualitative research. See why with a free trial.

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• CAREER GUIDE
• 01 December 2021

How to tell a compelling story in scientific presentations

• Bruce Kirchoff 0

Bruce Kirchoff is a botanist and storyteller at the University of North Carolina at Greensboro in North Carolina, USA. His new book is Presenting Science Concisely .

You can also search for this author in PubMed   Google Scholar

You have full access to this article via your institution.

Structuring your presentations with care can help you to clearly communicate to your audience. Credit: Getty

Scientific presentations are too often boring and ineffective. Their focus on techniques and data do not make it easy for the audience to understand the main point of the research.

If you want to reach beyond the narrow group of scientists who work in your specific area, you need to tell your audience members why they should be interested. Three things can help you to be engaging and convey the importance of your research to a wide audience. I had been teaching scientific communication for several years when I was approached to write a book about improving scientific presentations 1 . These are my three most important tips.

State your main finding in your title

The best titles get straight to the point. They tell the audience what you found, and they let them know what your talk will be about. Throughout this article, I will use titles from Nature papers published in the past two years as examples that will stand in for presentation titles. This is because Nature articles have a similar goal of attempting to make discipline-specific research available to a broader audience of scientists. Take, for example: ‘Supply chain diversity buffers cities against food shocks’ 2 .

A great title tells the reader exactly what’s new and precisely conveys the main result, as this one demonstrates. A more conventional title would have been ‘Effect of supply chain diversity on food shocks’, which omits the direction of the effect — so mainly scientists who are interested in your research area will be attracted to the talk. Others will wonder whether the talk will be a waste of time: maybe there was no effect at all.

Collection: Careers toolkit

Another example of a good title is: ‘Organic management promotes natural pest control through altered plant resistance to insects’ 3 .

This title ensures that the audience members know that the talk will be about the beneficial effects of organic crop management before they hear it. They also know that organic management increases plant resistance to insects. This title is much better than one such as: ‘Effects of organic pest management on plant insect resistance’. This title tells the audience the general area of the talk but does not give them the main result.

Finally, look at: ‘A highly magnetized and rapidly rotating white dwarf as small as the Moon’ 4 .

Good titles can just as easily be written for descriptive work as for experimental results. All you need to do is tell your audience what you found. Be as specific as possible. Compare this title with a more conventional one for the same work: ‘Use of the Zwicky Transient Facility to search for short period objects below the main white dwarf cooling sequence’. This title might be of interest to astronomers interested in using this facility, but is unlikely to attract anyone beyond them.

‘But’ is good — use it for dramatic effect

The contradiction implied by the word ‘but’ is one of the most powerful tools a scientist can use 5 . Contradictions introduce problems and provide dramatic effect, tension and a reason to keep listening.

Without such contradictions, the talk will consist of a bunch of results strung together in a seemingly endless and mind-numbing list. We can think of this list as a series of ‘and’ statements: “We did this and this and ran this experiment and found this result and . . . and . . . and.”

Contrast this with a structure that begins with a few important facts, tethered by ands, and then introduces the problem to be solved. Finally, ‘therefore’ can introduce results or subsequent actions. That structure would look like this: ‘X is the current state of knowledge, and we know Y. But Z problem remains. Therefore, we carried out ABC research.’ The introduction of even one contradiction wakes up people in the audience and helps them to focus on the results.

Collection: Conferences

A paper published earlier this year on SARS-CoV-2 and host protein synthesis provides an excellent example of the narrative form using ‘and’, ‘but’ and ‘therefore’ 6 . In the example below, I have shortened the abstract and simplified the transitions, but maintained the authors’ original structure 6 . Although they did not use ‘but’ or ‘therefore’ in their abstract, the existence of these terms is clearly implied. I have made them explicit in the following rendition.

“Coronaviruses have developed a variety of mechanisms to repress host messenger RNA translation and to allow the translation of viral mRNA and block the cellular immune response. But a comprehensive picture of the effects of SARS-CoV-2 infection on cellular gene expression is lacking. Therefore, we combine RNA sequencing, ribosome profiling and metabolic labelling of newly synthesized RNA to comprehensively define the mechanisms that are used by SARS-CoV-2 to shut off cellular protein synthesis.”

In this example, background information is given in the first sentence, linked by a series of conjunctions. Then the problem is introduced — this is the contradiction that comes with ‘but’. The solution to this problem is given in the next sentence (and introduced by using ‘therefore’). This structure makes the text interesting. It will do the same for your presentations.

Use repeated problems and solutions to create a story

Use the power of contradiction to maintain audience engagement throughout your talk. You can string together a series of problems and solutions (buts and therefores) to create a story that leads to your main result. The result highlighted in your title will help you to focus your talk so that the solutions you present lead to this overarching result.

Here is the general pattern:

1. Present the first part of your results.

2. Introduce a problem that remains.

3. Provide a solution to this problem by presenting more results.

4. Introduce the next problem.

5. Present the results that address this problem.

6. Continue this ‘problem and solution’ process through your presentation.

7. End by restating your main finding and summarize how it arises from your intermediate results.

The SARS-CoV-2 abstract 6 uses this pattern of repeated problems (buts) and solutions (therefores). I have modified the wording to clarify these sections.

1. Result 1: SARS-CoV-2 infection leads to a global reduction in translation, but we found that viral transcripts are not preferentially translated.

2. Problem 1: How then does viral mRNA comes to dominate the mRNA pool?

3. Solution 1: Accelerated degradation of cytosolic cellular mRNAs facilitates viral takeover of the mRNA pool in infected cells.

4. Problem 2: How is the translation of induced transcripts affected by SARS-CoV-2 infection?

5. Solution 2: The translation of induced transcripts (including innate immune genes) is impaired.

6. Problem 3: How is translation impaired? What is the mechanism?

7. Solution 3: Impairment is probably mediated by inhibiting the export of nuclear mRNA from the nucleus, which prevents newly transcribed cellular mRNA from accessing ribosomes.

8. Final summary: Our results demonstrate a multipronged strategy used by SARS-CoV-2 to take over the translation machinery and suppress host defences.

Using these three basic tips, you can create engaging presentations that will hold the attention of your audience and help them to remember you. For young scientists, especially, that is the most important thing the audience can take away from your talk.

Nature 600 , S88-S89 (2021)

doi: https://doi.org/10.1038/d41586-021-03603-2

This article is part of Nature Events Guide , an editorially independent supplement. Advertisers have no influence over the content.

This is an article from the Nature Careers Community, a place for Nature readers to share their professional experiences and advice. Guest posts are encouraged .

Kirchoff, B. Presenting Science Concisely (CABI, 2021).

Google Scholar  

Gomez, M., Mejia, A., Ruddell, B. L. & Rushforth, R. R. Nature 595 , 250–254 (2021).

Article   Google Scholar  

Blundell, R. et al. Nature Plants 6 , 483–491 (2020).

Article   PubMed   Google Scholar  

Caiazzo, I. et al. Nature 595 , 39–42 (2021).

Olson, R. The Narrative Gym (Prairie Starfish Press, 2020).

Finkel, Y. et al. Nature 594 , 240–245 (2021).

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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

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:

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.

Home Blog Presentation Ideas How to Create and Deliver a Research Presentation

How to Create and Deliver a Research Presentation

Every research endeavor ends up with the communication of its findings. Graduate-level research culminates in a thesis defense , while many academic and scientific disciplines are published in peer-reviewed journals. In a business context, PowerPoint research presentation is the default format for reporting the findings to stakeholders.

Condensing months of work into a few slides can prove to be challenging. It requires particular skills to create and deliver a research presentation that promotes informed decisions and drives long-term projects forward.

Table of Contents

What is a Research Presentation

Key slides for creating a research presentation, tips when delivering a research presentation, how to present sources in a research presentation, recommended templates to create a research presentation.

A research presentation is the communication of research findings, typically delivered to an audience of peers, colleagues, students, or professionals. In the academe, it is meant to showcase the importance of the research paper , state the findings and the analysis of those findings, and seek feedback that could further the research.

The presentation of research becomes even more critical in the business world as the insights derived from it are the basis of strategic decisions of organizations. Information from this type of report can aid companies in maximizing the sales and profit of their business. Major projects such as research and development (R&D) in a new field, the launch of a new product or service, or even corporate social responsibility (CSR) initiatives will require the presentation of research findings to prove their feasibility.

Market research and technical research are examples of business-type research presentations you will commonly encounter.

In this article, we’ve compiled all the essential tips, including some examples and templates, to get you started with creating and delivering a stellar research presentation tailored specifically for the business context.

Various research suggests that the average attention span of adults during presentations is around 20 minutes, with a notable drop in an engagement at the 10-minute mark . Beyond that, you might see your audience doing other things.

How can you avoid such a mistake? The answer lies in the adage “keep it simple, stupid” or KISS. We don’t mean dumbing down your content but rather presenting it in a way that is easily digestible and accessible to your audience. One way you can do this is by organizing your research presentation using a clear structure.

Here are the slides you should prioritize when creating your research presentation PowerPoint.

1.  Title Page

The title page is the first thing your audience will see during your presentation, so put extra effort into it to make an impression. Of course, writing presentation titles and title pages will vary depending on the type of presentation you are to deliver. 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

When writing the title of your research presentation, it should reflect the topic and objective of the report. Focus only on the subject and avoid adding redundant phrases like “A research on” or “A study on.” However, you may use phrases like “Market Analysis” or “Feasibility Study” because they help identify the purpose of the presentation. Doing so also serves a long-term purpose for the filing and later retrieving of the document.

Here’s a sample title page for a hypothetical market research presentation from Gillette .

2. Executive Summary Slide

The executive summary marks the beginning of the body of the presentation, briefly summarizing the key discussion points of the research. Specifically, the summary may state the following:

• The purpose of the investigation and its significance within the organization’s goals
• The methods used for the investigation
• The major findings of the investigation
• The conclusions and recommendations after the investigation

Although the executive summary encompasses the entry of the research presentation, it should not dive into all the details of the work on which the findings, conclusions, and recommendations were based. Creating the executive summary requires a focus on clarity and brevity, especially when translating it to a PowerPoint document where space is limited.

Each point should be presented in a clear and visually engaging manner to capture the audience’s attention and set the stage for the rest of the presentation. Use visuals, bullet points, and minimal text to convey information efficiently.

3. Introduction/ Project Description Slides

In this section, your goal is to provide your audience with the information that will help them understand the details of the presentation. Provide a detailed description of the project, including its goals, objectives, scope, and methods for gathering and analyzing data.

You want to answer these fundamental questions:

• What specific questions are you trying to answer, problems you aim to solve, or opportunities you seek to explore?
• Why is this project important, and what prompted it?
• What are the boundaries of your research or initiative? 
• How were the data gathered?

Important: The introduction should exclude specific findings, conclusions, and recommendations.

4. Data Presentation and Analyses Slides

This is the longest section of a research presentation, as you’ll present the data you’ve gathered and provide a thorough analysis of that data to draw meaningful conclusions. The format and components of this section can vary widely, tailored to the specific nature of your research.

For example, if you are doing market research, you may include the market potential estimate, competitor analysis, and pricing analysis. These elements will help your organization determine the actual viability of a market opportunity.

Visual aids like charts, graphs, tables, and diagrams are potent tools to convey your key findings effectively. These materials may be numbered and sequenced (Figure 1, Figure 2, and so forth), accompanied by text to make sense of the insights.

5. Conclusions

The conclusion of a research presentation is where you pull together the ideas derived from your data presentation and analyses in light of the purpose of the research. For example, if the objective is to assess the market of a new product, the conclusion should determine the requirements of the market in question and tell whether there is a product-market fit.

Designing your conclusion slide should be straightforward and focused on conveying the key takeaways from your research. Keep the text concise and to the point. Present it in bullet points or numbered lists to make the content easily scannable.

6. Recommendations

The findings of your research might reveal elements that may not align with your initial vision or expectations. These deviations are addressed in the recommendations section of your presentation, which outlines the best course of action based on the result of the research.

What emerging markets should we target next? Do we need to rethink our pricing strategies? Which professionals should we hire for this special project? — these are some of the questions that may arise when coming up with this part of the research.

Recommendations may be combined with the conclusion, but presenting them separately to reinforce their urgency. In the end, the decision-makers in the organization or your clients will make the final call on whether to accept or decline the recommendations.

7. Questions Slide

Members of your audience are not involved in carrying out your research activity, which means there’s a lot they don’t know about its details. By offering an opportunity for questions, you can invite them to bridge that gap, seek clarification, and engage in a dialogue that enhances their understanding.

If your research is more business-oriented, facilitating a question and answer after your presentation becomes imperative as it’s your final appeal to encourage buy-in for your recommendations.

A simple “Ask us anything” slide can indicate that you are ready to accept questions.

1. Focus on the Most Important Findings

The truth about presenting research findings is that your audience doesn’t need to know everything. Instead, they should receive a distilled, clear, and meaningful overview that focuses on the most critical aspects.

You will likely have to squeeze in the oral presentation of your research into a 10 to 20-minute presentation, so you have to make the most out of the time given to you. In the presentation, don’t soak in the less important elements like historical backgrounds. Decision-makers might even ask you to skip these portions and focus on sharing the findings.

2. Do Not Read Word-per-word

Reading word-for-word from your presentation slides intensifies the danger of losing your audience’s interest. Its effect can be detrimental, especially if the purpose of your research presentation is to gain approval from the audience. So, how can you avoid this mistake?

• Make a conscious design decision to keep the text on your slides minimal. Your slides should serve as visual cues to guide your presentation.
• Structure your presentation as a narrative or story. Stories are more engaging and memorable than dry, factual information.
• Prepare speaker notes with the key points of your research. Glance at it when needed.
• Engage with the audience by maintaining eye contact and asking rhetorical questions.

3. Don’t Go Without Handouts

Handouts are paper copies of your presentation slides that you distribute to your audience. They typically contain the summary of your key points, but they may also provide supplementary information supporting data presented through tables and graphs.

The purpose of distributing presentation handouts is to easily retain the key points you presented as they become good references in the future. Distributing handouts in advance allows your audience to review the material and come prepared with questions or points for discussion during the presentation.

4. Actively Listen

An equally important skill that a presenter must possess aside from speaking is the ability to listen. We are not just talking about listening to what the audience is saying but also considering their reactions and nonverbal cues. If you sense disinterest or confusion, you can adapt your approach on the fly to re-engage them.

For example, if some members of your audience are exchanging glances, they may be skeptical of the research findings you are presenting. This is the best time to reassure them of the validity of your data and provide a concise overview of how it came to be. You may also encourage them to seek clarification.

5. Be Confident

Anxiety can strike before a presentation – it’s a common reaction whenever someone has to speak in front of others. If you can’t eliminate your stress, try to manage it.

People hate public speaking not because they simply hate it. Most of the time, it arises from one’s belief in themselves. You don’t have to take our word for it. Take Maslow’s theory that says a threat to one’s self-esteem is a source of distress among an individual.

Now, how can you master this feeling? You’ve spent a lot of time on your research, so there is no question about your topic knowledge. Perhaps you just need to rehearse your research presentation. If you know what you will say and how to say it, you will gain confidence in presenting your work.

All sources you use in creating your research presentation should be given proper credit. The APA Style is the most widely used citation style in formal research.

In-text citation

Add references within the text of your presentation slide by giving the author’s last name, year of publication, and page number (if applicable) in parentheses after direct quotations or paraphrased materials. As in:

The alarming rate at which global temperatures rise directly impacts biodiversity (Smith, 2020, p. 27).

If the author’s name and year of publication are mentioned in the text, add only the page number in parentheses after the quotations or paraphrased materials. As in:

According to Smith (2020), the alarming rate at which global temperatures rise directly impacts biodiversity (p. 27).

Image citation

All images from the web, including photos, graphs, and tables, used in your slides should be credited using the format below.

Creator’s Last Name, First Name. “Title of Image.” Website Name, Day Mo. Year, URL. Accessed Day Mo. Year.

Work cited page

A work cited page or reference list should follow after the last slide of your presentation. The list should be alphabetized by the author’s last name and initials followed by the year of publication, the title of the book or article, the place of publication, and the publisher. As in:

Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. New York, NY: ABC Publications.

When citing a document from a website, add the source URL after the title of the book or article instead of the place of publication and the publisher. As in:

Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. Retrieved from https://www.smith.com/climate-change-and-biodiversity.

1. Research Project Presentation PowerPoint Template

A slide deck containing 18 different slides intended to take off the weight of how to make a research presentation. With tons of visual aids, presenters can reference existing research on similar projects to this one – or link another research presentation example – provide an accurate data analysis, disclose the methodology used, and much more.

Use This Template

2. Research Presentation Scientific Method Diagram PowerPoint Template

Whenever you intend to raise questions, expose the methodology you used for your research, or even suggest a scientific method approach for future analysis, this circular wheel diagram is a perfect fit for any presentation study.

Customize all of its elements to suit the demands of your presentation in just minutes.

3. Thesis Research Presentation PowerPoint Template

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Home » Narrative Analysis – Types, Methods and Examples

Narrative Analysis – Types, Methods and Examples

Table of Contents

Narrative Analysis

Definition:

Narrative analysis is a qualitative research methodology that involves examining and interpreting the stories or narratives people tell in order to gain insights into the meanings, experiences, and perspectives that underlie them. Narrative analysis can be applied to various forms of communication, including written texts, oral interviews, and visual media.

In narrative analysis, researchers typically examine the structure, content, and context of the narratives they are studying, paying close attention to the language, themes, and symbols used by the storytellers. They may also look for patterns or recurring motifs within the narratives, and consider the cultural and social contexts in which they are situated.

Types of Narrative Analysis

Types of Narrative Analysis are as follows:

Content Analysis

This type of narrative analysis involves examining the content of a narrative in order to identify themes, motifs, and other patterns. Researchers may use coding schemes to identify specific themes or categories within the text, and then analyze how they are related to each other and to the overall narrative. Content analysis can be used to study various forms of communication, including written texts, oral interviews, and visual media.

Structural Analysis

This type of narrative analysis focuses on the formal structure of a narrative, including its plot, character development, and use of literary devices. Researchers may analyze the narrative arc, the relationship between the protagonist and antagonist, or the use of symbolism and metaphor. Structural analysis can be useful for understanding how a narrative is constructed and how it affects the reader or audience.

Discourse Analysis

This type of narrative analysis focuses on the language and discourse used in a narrative, including the social and cultural context in which it is situated. Researchers may analyze the use of specific words or phrases, the tone and style of the narrative, or the ways in which social and cultural norms are reflected in the narrative. Discourse analysis can be useful for understanding how narratives are influenced by larger social and cultural structures.

Phenomenological Analysis

This type of narrative analysis focuses on the subjective experience of the narrator, and how they interpret and make sense of their experiences. Researchers may analyze the language used to describe experiences, the emotions expressed in the narrative, or the ways in which the narrator constructs meaning from their experiences. Phenomenological analysis can be useful for understanding how people make sense of their own lives and experiences.

Critical Analysis

This type of narrative analysis involves examining the political, social, and ideological implications of a narrative, and questioning its underlying assumptions and values. Researchers may analyze the ways in which a narrative reflects or reinforces dominant power structures, or how it challenges or subverts those structures. Critical analysis can be useful for understanding the role that narratives play in shaping social and cultural norms.

Autoethnography

This type of narrative analysis involves using personal narratives to explore cultural experiences and identity formation. Researchers may use their own personal narratives to explore issues such as race, gender, or sexuality, and to understand how larger social and cultural structures shape individual experiences. Autoethnography can be useful for understanding how individuals negotiate and navigate complex cultural identities.

Thematic Analysis

This method involves identifying themes or patterns that emerge from the data, and then interpreting these themes in relation to the research question. Researchers may use a deductive approach, where they start with a pre-existing theoretical framework, or an inductive approach, where themes are generated from the data itself.

Narrative Analysis Conducting Guide

Here are some steps for conducting narrative analysis:

• Identify the research question: Narrative analysis begins with identifying the research question or topic of interest. Researchers may want to explore a particular social or cultural phenomenon, or gain a deeper understanding of a particular individual’s experience.
• Collect the narratives: Researchers then collect the narratives or stories that they will analyze. This can involve collecting written texts, conducting interviews, or analyzing visual media.
• Transcribe and code the narratives: Once the narratives have been collected, they are transcribed into a written format, and then coded in order to identify themes, motifs, or other patterns. Researchers may use a coding scheme that has been developed specifically for the study, or they may use an existing coding scheme.
• Analyze the narratives: Researchers then analyze the narratives, focusing on the themes, motifs, and other patterns that have emerged from the coding process. They may also analyze the formal structure of the narratives, the language used, and the social and cultural context in which they are situated.
• Interpret the findings: Finally, researchers interpret the findings of the narrative analysis, and draw conclusions about the meanings, experiences, and perspectives that underlie the narratives. They may use the findings to develop theories, make recommendations, or inform further research.

Applications of Narrative Analysis

Narrative analysis is a versatile qualitative research method that has applications across a wide range of fields, including psychology, sociology, anthropology, literature, and history. Here are some examples of how narrative analysis can be used:

• Understanding individuals’ experiences: Narrative analysis can be used to gain a deeper understanding of individuals’ experiences, including their thoughts, feelings, and perspectives. For example, psychologists might use narrative analysis to explore the stories that individuals tell about their experiences with mental illness.
• Exploring cultural and social phenomena: Narrative analysis can also be used to explore cultural and social phenomena, such as gender, race, and identity. Sociologists might use narrative analysis to examine how individuals understand and experience their gender identity.
• Analyzing historical events: Narrative analysis can be used to analyze historical events, including those that have been recorded in literary texts or personal accounts. Historians might use narrative analysis to explore the stories of survivors of historical traumas, such as war or genocide.
• Examining media representations: Narrative analysis can be used to examine media representations of social and cultural phenomena, such as news stories, films, or television shows. Communication scholars might use narrative analysis to examine how news media represent different social groups.
• Developing interventions: Narrative analysis can be used to develop interventions to address social and cultural problems. For example, social workers might use narrative analysis to understand the experiences of individuals who have experienced domestic violence, and then use that knowledge to develop more effective interventions.

Examples of Narrative Analysis

Here are some examples of how narrative analysis has been used in research:

• Personal narratives of illness: Researchers have used narrative analysis to examine the personal narratives of individuals living with chronic illness, to understand how they make sense of their experiences and construct their identities.
• Oral histories: Historians have used narrative analysis to analyze oral histories to gain insights into individuals’ experiences of historical events and social movements.
• Children’s stories: Researchers have used narrative analysis to analyze children’s stories to understand how they understand and make sense of the world around them.
• Personal diaries : Researchers have used narrative analysis to examine personal diaries to gain insights into individuals’ experiences of significant life events, such as the loss of a loved one or the transition to adulthood.
• Memoirs : Researchers have used narrative analysis to analyze memoirs to understand how individuals construct their life stories and make sense of their experiences.
• Life histories : Researchers have used narrative analysis to examine life histories to gain insights into individuals’ experiences of migration, displacement, or social exclusion.

Purpose of Narrative Analysis

The purpose of narrative analysis is to gain a deeper understanding of the stories that individuals tell about their experiences, identities, and beliefs. By analyzing the structure, content, and context of these stories, researchers can uncover patterns and themes that shed light on the ways in which individuals make sense of their lives and the world around them.

The primary purpose of narrative analysis is to explore the meanings that individuals attach to their experiences. This involves examining the different elements of a story, such as the plot, characters, setting, and themes, to identify the underlying values, beliefs, and attitudes that shape the story. By analyzing these elements, researchers can gain insights into the ways in which individuals construct their identities, understand their relationships with others, and make sense of the world.

Narrative analysis can also be used to identify patterns and themes across multiple stories. This involves comparing and contrasting the stories of different individuals or groups to identify commonalities and differences. By analyzing these patterns and themes, researchers can gain insights into broader cultural and social phenomena, such as gender, race, and identity.

In addition, narrative analysis can be used to develop interventions that address social and cultural problems. By understanding the stories that individuals tell about their experiences, researchers can develop interventions that are tailored to the unique needs of different individuals and groups.

Overall, the purpose of narrative analysis is to provide a rich, nuanced understanding of the ways in which individuals construct meaning and make sense of their lives. By analyzing the stories that individuals tell, researchers can gain insights into the complex and multifaceted nature of human experience.

When to use Narrative Analysis

Here are some situations where narrative analysis may be appropriate:

• Studying life stories: Narrative analysis can be useful in understanding how individuals construct their life stories, including the events, characters, and themes that are important to them.
• Analyzing cultural narratives: Narrative analysis can be used to analyze cultural narratives, such as myths, legends, and folktales, to understand their meanings and functions.
• Exploring organizational narratives: Narrative analysis can be helpful in examining the stories that organizations tell about themselves, their histories, and their values, to understand how they shape the culture and practices of the organization.
• Investigating media narratives: Narrative analysis can be used to analyze media narratives, such as news stories, films, and TV shows, to understand how they construct meaning and influence public perceptions.
• Examining policy narratives: Narrative analysis can be helpful in examining policy narratives, such as political speeches and policy documents, to understand how they construct ideas and justify policy decisions.

Characteristics of Narrative Analysis

Here are some key characteristics of narrative analysis:

• Focus on stories and narratives: Narrative analysis is concerned with analyzing the stories and narratives that people tell, whether they are oral or written, to understand how they shape and reflect individuals’ experiences and identities.
• Emphasis on context: Narrative analysis seeks to understand the context in which the narratives are produced and the social and cultural factors that shape them.
• Interpretive approach: Narrative analysis is an interpretive approach that seeks to identify patterns and themes in the stories and narratives and to understand the meaning that individuals and communities attach to them.
• Iterative process: Narrative analysis involves an iterative process of analysis, in which the researcher continually refines their understanding of the narratives as they examine more data.
• Attention to language and form : Narrative analysis pays close attention to the language and form of the narratives, including the use of metaphor, imagery, and narrative structure, to understand the meaning that individuals and communities attach to them.
• Reflexivity : Narrative analysis requires the researcher to reflect on their own assumptions and biases and to consider how their own positionality may shape their interpretation of the narratives.
• Qualitative approach: Narrative analysis is typically a qualitative research method that involves in-depth analysis of a small number of cases rather than large-scale quantitative studies.

Advantages of Narrative Analysis

Here are some advantages of narrative analysis:

• Rich and detailed data : Narrative analysis provides rich and detailed data that allows for a deep understanding of individuals’ experiences, emotions, and identities.
• Humanizing approach: Narrative analysis allows individuals to tell their own stories and express their own perspectives, which can help to humanize research and give voice to marginalized communities.
• Holistic understanding: Narrative analysis allows researchers to understand individuals’ experiences in their entirety, including the social, cultural, and historical contexts in which they occur.
• Flexibility : Narrative analysis is a flexible research method that can be applied to a wide range of contexts and research questions.
• Interpretive insights: Narrative analysis provides interpretive insights into the meanings that individuals attach to their experiences and the ways in which they construct their identities.
• Appropriate for sensitive topics: Narrative analysis can be particularly useful in researching sensitive topics, such as trauma or mental health, as it allows individuals to express their experiences in their own words and on their own terms.
• Can lead to policy implications: Narrative analysis can provide insights that can inform policy decisions and interventions, particularly in areas such as health, education, and social policy.

Limitations of Narrative Analysis

Here are some of the limitations of narrative analysis:

• Subjectivity : Narrative analysis relies on the interpretation of researchers, which can be influenced by their own biases and assumptions.
• Limited generalizability: Narrative analysis typically involves in-depth analysis of a small number of cases, which limits its generalizability to broader populations.
• Ethical considerations: The process of eliciting and analyzing narratives can raise ethical concerns, particularly when sensitive topics such as trauma or abuse are involved.
• Limited control over data collection: Narrative analysis often relies on data that is already available, such as interviews, oral histories, or written texts, which can limit the control that researchers have over the quality and completeness of the data.
• Time-consuming: Narrative analysis can be a time-consuming research method, particularly when analyzing large amounts of data.
• Interpretation challenges: Narrative analysis requires researchers to make complex interpretations of data, which can be challenging and time-consuming.
• Limited statistical analysis: Narrative analysis is typically a qualitative research method that does not lend itself well to statistical analysis.

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Narrative and Discursive Research

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• First Online: 29 May 2022
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• Lisa Saville Young 4  

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This chapter provides a description of the employment of narrative and discursive research in psychosocial studies, with a specific focus on the use of psychoanalysis alongside these qualitative research approaches. In describing this work, I identify a set of problems that have developed in this transdisciplinary space and discuss how these have both enriched and challenged the field of psychosocial studies. Firstly, there is the problem of which psychoanalysis to employ in our research practices, with different schools of psychoanalysis leading to different approaches to collecting and analyzing data. Secondly, there are ethical dilemmas that result from employing concepts developed in a clinical context for therapeutic purposes, in a research context for the purposes of producing knowledge. Thirdly, there is the problem of how to ‘pin down’ the slippery concept of the unconscious in a way that is still considered reliable and valid research practice. Fourthly, there is the danger of losing the disruptive power of psychosocial studies, as an emphasis on the social context gives way to a more relational focus. In the second half of the chapter, I describe my own psychosocial approach to an interview extract demonstrating one way of employing psychoanalysis alongside discursive research, and one way of negotiating the problems already described. Central to my approach is the employment of reflexivity to ensure that the researcher is also understood to be a co-constructor of the data, and just as implicated in its analysis as the participant. I conclude by pointing to areas requiring further development, imagining the horizons of narrative and discursive research within psychosocial studies.

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Psychoanalysis is not the only theoretical and methodological framework that can be employed alongside narrative and discursive work to make up a psychosocial approach; however, it is the focus of this chapter given the extent to which it has saturated the psychosocial space (Frosh, 2016 ).

While I focus on possible harms to participants in this chapter, Bowker ( 2011 ) has written about the benefits of participating in psychosocial interviews for participants, a dimension of research ethics that should not be overlooked.

Given space constraints, this example does not do as much grounding in the actual text of the interview as I normally advocate; as such I describe it as a broad sketch rather than an analysis.

The amaXhosa is an Nguni ethic group in the Eastern and Western Cape of South Africa who speak isiXhosa, an indigenous language.

Interviewer’s words are indicated through square brackets [ ]. Round brackets and full stops indicate a short pause (…).

Ahmed, S. (2004). The cultural politics of emotion . Routledge.

Google Scholar  

Avdi, E., & Georgaca, E. (2018). Researching the discursive construction of subjectivity in psychotherapy. In O. Smoliak & T. Strong (Eds.), Therapy as discourse (pp. 45–69). Palgrave Macmillan.

Chapter   Google Scholar  

Billig, M. (1997). The dialogic unconscious: Psychoanalysis, discursive psychology and the nature of repression. British Journal of Social Psychology, 36 , 139–159.

Article   Google Scholar  

Billig, M. (2006). Lacan’s misuse of psychology: Evidence, rhetoric and the mirror stage. Theory, Culture & Society, 23 (4), 1–26.

Bowker, M. H. (2011). What is the participant’s good? A neglected ethical question in psycho-social research. Psychoanalysis, Culture & Society, 16 , 324–332.

Bradbury, P., & Day Sclater, S. (2000). Conclusion. In M. Andrews, S. Day Sclater, C. Squire, & A. Treacher (Eds.), Lines of narrative: Psychosocial perspectives (pp. 193–198). Routledge.

Cromby, J. (2012). Feeling the way: Qualitative clinical research and the affective turn. Qualitative Research in Psychology, 9 (1), 88–98.

Davies, B., & Harré, R. (1990). Positioning: The discursive production of selves. Journal for the Theory of Social Behaviour, 20 , 43–63.

Day Sclater, S. (1999). Divorce: A psychosocial study . Ashgate.

Day Sclater, S. (2000). Narrative and discourse: Introduction. In M. Andrews, S. D. Sclater, C. Squire, & A. Treacher (Eds.), Lines of narrative: Psychosocial perspectives (pp. 131–135). Routledge.

De Fina, A., & Georgakopoulou, A. (2019). The handbook of narrative analysis . Wiley.

Edley, N. (2001). Analysing masculinity: Interpretative repertoires, ideological dilemmas and subject positions. Discourse as Data: A Guide for Analysis, 189 , 228.

Edwards, D. (2007). Managing subjectivity in talk. In A. Hepburn & S. Wiggins (Eds.), Discursive research in practice: New approaches to psychology and interaction (pp. 31–49). Cambridge University Press.

Emerson, P., & Frosh, S. (2004). Critical narrative analysis in psychology: A guide to practice . Palgrave.

Book   Google Scholar  

Fink, B. (2004). Lacan to the letter: Reading Ecrits closely . University of Minnesota Press.

Finlay, L. (2002). ‘Outing’ the researcher: Provenance, process and practice of reflexivity. Qualitative Health Research, 12 , 531–545.

Article   PubMed   Google Scholar  

Frosh, S. (2007). Disintegrating qualitative research. Theory and Psychology, 17 (5), 635–653.

Frosh, S. (2009). Where did class go? Psychoanalysis and social identities. Sitegeist: A Journal of Psychoanalysis and Philosophy, 3 , 99–116.

Frosh, S. (2013). Keeping cool in thinking and psychotherapy. In C. Burck, S. Barratt, & E. Kavner (Eds.), Positions and polarities in contemporary systemic practice: The legacy of David Campbell (The systemic thinking and practice series) (pp. 15–26). Karnac Books.

Frosh, S. (2014). The nature of the psychosocial: Debates from studies in the psychosocial. Journal of Psycho-Social studies, 8 (1), 159–169.

Frosh, S. (2016). Towards a psychosocial psychoanalysis. American Imago, 73 (4), 469–482.

Frosh, S., & Baraitser, L. (2008). Psychoanalysis and psychosocial studies. Psychoanalysis, Culture & Society, 13 (4), 346–365.

Frosh, S., & Saville Young, L. (2010). The psychoanalytic psychosocial. In J. Mason & A. Dale (Eds.), Social researching: New perspectives on method (pp. 49–61). Sage.

Frosh, S., & Saville Young, L. (2017). Psychoanalytic approaches to qualitative psychology. In W. Stainton Rogers & C. Willig (Eds.), Handbook of qualitative research in psychology (2nd ed., pp. 124–140). Sage.

Frosh, S., Phoenix, A., & Pattman, R. (2002). Young masculinities: Understanding boys in contemporary society . Palgrave.

Frosh, S. & Saville Young, L. (2017). Psychoanalytic approaches to qualitative research. In W. Stainton Rogers & C. Willig (Eds). Handbook of Qualitative Research in Psychology (Second edition). London: Sage.

Gee, J. P. (1991). A linguistic approach to narrative. Journal of Narrative and Life History, 1 (1), 15–39.

Gee, J. P. (2014). How to do discourse analysis: A tool kit (2nd ed.). Routledge.

Gee, J. P., & Handford, M. (Eds.). (2012). The Routledge handbook of discourse analysis . Routledge.

Georgaca, E., & Avdi, E. (2009). Evaluating the talking cure: The contribution of narrative, discourse, and conversation analysis to psychotherapy assessment. Qualitative Research in Psychology, 6 (3), 233–247.

Greco, M., & Stenner, P. (Eds.). (2008). Emotions: A social science reader . Routledge.

Harris, P. (2019). Uneasy bedfellows? Fusing participatory and psychosocial principles in research with youth workers and young people. Journal of Psychosocial Studies, 12 (3), 245–257.

Haselau, T. L. (2021). Defended subjectivity in service-learning: A psychosocial analysis of students’ talk about service-learning in psychology (Doctoral dissertation). Rhodes University.

Hoggett, P. (2008). What’s in a hypen? Reconstructing psychosocial studies. Psychoanalysis, Culture & Society, 13 (4), 379–384.

Hollway, W. (2015). Knowing mothers: Researching maternal identity change . Palgrave Macmillan.

Hollway, W., & Jefferson, T. (2000). Doing qualitative research differently: Free association, narrative and the interview method . Sage.

Hollway, W., & Jefferson, T. (2005a). But why did Vince get sick?: A reply to spears and Wetherell. British Journal of Social Psychology, 44 (2), 175–180.

Hollway, W., & Jefferson, T. (2005b). Panic and perjury: A psycho-social exploration of agency. British Journal of Social Psychology, 44 (2), 147–163.

Hollway, W., & Jefferson, T. (2013). Doing qualitative research differently: A psychosocial approach (2nd ed.). Sage.

Holmes, J. (2017). Reverie-informed research interviewing. International Journal of Psychoanalysis, 98 , 709–728.

Hook, D. (2008). Absolute other: Lacan’s ‘other’ as adjunct to critical social psychological analysis? Personality and Social Psychology Compass, 2 (1), 51–73.

Kennedy, B., & Saville Young, L. (2019). Talk of whiteness: A psychosocial analysis of constructions of race amongst white novice clinical psychologists in South Africa. Psycho-analytic Psychotherapy in South Africa, 27 , 9–33.

Kinahan Sweeney, S., & Saville Young, L. (2021). The ‘good’ mother and the thriving, surviving baby’s body: A psychosocial analysis. Psycho-Analytic Psychotherapy in South Africa, 29 (1), 33–69.

Lacan, J. (1960). The subversion of the subject and the dialectic of desire. In J. Lacan, Ecrits: The first complete edition in English (translated by B. Fink in collaboration with H. Fink and R. Grigg). Norton, 2006.

Lapping, C. (2013). Which subject, whose desire? The constitution of subjectivity and the articulation of desire in the practice of research. Psychoanalysis, Culture & Society, 18 (4), 368–385.

Lapping, C. (2016). Reflexivity and fantasy: Surprising encounters from interpretation to interruption. Qualitative Inquiry, 22 (9), 718–724.

Lau, U., Durrheim, K., & Saville Young, L. (2021). Place detachment and the psychology of nonbelonging. In C. Raymond, L. Manzo, D. Williams, T. von Wirth, & A. Di Masso (Eds.), Changing senses of place: Navigating global challenges (pp. 103–115). Cambridge University Press.

Marks, S., & Mönich-Marks, H. (2003). The analysis of counter-Transference reactions is a means to discern latent interview-contents. Forum: Qualitative Social Research , 4 (2). http://qualitativeresearch.net/fqs-texte/2-03/2-03marks-e.pdf

Mhlongo, N. (2019). Black tax: Burden or ubuntu? Jonathan Ball Publishers.

Murray, A. J., & Durrheim, K. (2021). Maintaining the status quo through repressed silences: The case of paid domestic labour in post-apartheid South Africa. Sociology, 55 (2), 283–299.

Ndabula, Y. (2017). Sistering and sexual socialisation: A psychosocial study of Xhosa women’s ‘sex and reproduction talk’ with their sisters (Masters dissertation). Rhodes University.

Parker, I. (2015). Walls and holes in psychosocial research: From psychoanalysis to critique. Qualitative Research in Psychology, 12 (1), 77–82.

Parker, I., & Pavón-Cuéllar, D. (Eds.). (2014). Lacan, discourse, event: New psychoanalytic approaches to textual indeterminacy . Routledge.

Richards, B., Jones, D. W., Yates, C., Price, H., & Day Sclater, S. (2009). Conclusions: Psychosocial studies – A therapeutic project? In S. Day Sclater, D. W. Jones, H. Price, & C. Yates (Eds.), Emotion: New psychosocial perspectives (pp. 242–254). Palgrave Macmillan.

Riessman, C. K. (2003). Performing identities in illness narratives. Masculinity and multiple sclerosis. Qualitative Research, 3 , 5–33.

Riessman, C. K. (2008). Narrative methods for the human sciences . Sage.

Saville Young, L. (2009). Not knowing: Towards an ethics for employing psychoanalysis in psychosocial research. Psycho-Analytic Psychotherapy in South Africa, 17 , 1–26.

Saville Young, L. (2011). Research entanglements, race and recognisability: A psychosocial reading of interview encounters in (post-) colonial, (post-) apartheid South Africa. Qualitative Inquiry, 17 (1), 45–55.

Saville Young, L. (2013). Becoming other to oneself: Misreading the researcher through Lacanian discourse analysis. In I. Parker & D. Pavon-Cuellar (Eds.), Lacan, discourse, event: New analyses of textual indeterminacy (pp. 279–290). Routledge.

Saville Young, L., & Berry, J. (2016). Slipping and holding minds: A psychosocial analysis of maternal subjectivity in relation to childhood disability. African Journal of Disability, 5 (1), a266. https://doi.org/10.4102/ajod.v5i1.266

Saville Young, L., & Frosh, S. (2018). Psychoanalysis in narrative research. In K. Stamenova & R. D. Hinshelwood (Eds.), Methods of research into the unconscious: Applying psychoanalytic ideas to social sciences (pp. 199–210). Routledge.

Saville Young, L., & Jearey-Graham, N. (2015). “They’re gonna come and corrupt our children”: A psychosocial analysis of two South Africans’ xenophobic talk. Psychoanalysis, Culture & Society, 20 , 395–413.

Saville Young, L., Moodley, D., & Macleod, C. (2018). Feminine sexual desire and shame in the classroom: An educator’s constructions of and investments in sexuality education. Sex Education . https://doi.org/10.1080/14681811.2018.1511974

Stenner, P., & Taylor, D. (2008). Psychosocial welfare: Reflections on an emerging field. Critical Social Policy, 28 (4), 415–437.

Stern, D. B. (2018). The infinity of the unsaid: Unformulated experience, language, and the nonverbal . Routledge.

Taylor, S. (2015). Discursive and psychosocial? Theorising a complex contemporary subject. Qualitative Research in Psychology, 12 (1), 8–21.

Urwin, C. (2011). Infant observation meets social sicence. Infant Observation, 14 (3), 341–344.

Walkerdine, V., Lucey, H., & Melody, J. (2001). Growing Up Girl: Psychosocial explorations of gender and class . Palgrave.

Wengraf, T. (2018). Researching dated, situated, defended and deciding/evolving subjectivities by biographic-narrative interview: Psychoanalysis, the psycho-societal unconscious, and biographic-narrative interview method and interpretation. In K. Stamenova & R. D. Hinshelwood (Eds.), Methods of research into the unconscious: Applying psychoanalytic ideas to social sciences (pp. 211–238). Routledge.

Wetherell, M. (2005). Commentary: Unconscious conflict or everyday accountability? British Journal of Social Psychology, 44 (2), 169–173.

Wetherell, M. (2012). Affect and emotion: A new social science understanding . Sage.

Wetherell, M. (2014). Affect and banal nationalism: A practical dialogic approach to emotion. In C. Antaki & S. Condor (Eds.), Rhetoric, ideology and social psychology: Essays in honour of Michael Billig . Routledge.

Wetherell, M. (2015). Trends in the turn to affect: A social psychological critique. Body & Society, 21 (2), 139–166.

Woodward, K. (2015). Psychosocial studies: An introduction . Routledge.

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Lisa Saville Young

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Department of Psychosocial Studies, Birkbeck, University of London, London, UK

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Cass School of Education and Communities, University of East London, London, United Kingdom

Department of Psychosocial and Psychoanalytic Studies, University of Essex, Colchester, United Kingdom

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Young, L.S. (2022). Narrative and Discursive Research. In: Frosh, S., Vyrgioti, M., Walsh, J. (eds) The Palgrave Handbook of Psychosocial Studies. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-61510-9_27-1

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Chapter 15: Narrative Research

Mar 03, 2013

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Chapter 15: Narrative Research. Objectives Briefly state the definition and purpose of narrative research and describe the narrative research process.

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• irb approval
• first year teacher
• narrative data collection techniques
• narrative research techniques
• numerous types
• initial narrative research questions

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Chapter 15: Narrative Research Objectives • Briefly state the definition and purpose of narrative research and describe the narrative research process. • Describe narrative research techniques, including restorying; oral history; examination of photographs, memory boxes, and other artifacts; storytelling; letter writing; and autobiographical and biographical writing.

Narrative Research • Narrative research is the study of how different humans experience the world around them. • Narrative researchers collect data about people’s lives and collaboratively construct a narrative about the experiences and meanings they contribute to the experiences. • Narrative research has often been conducted in numerous disciplines (e.g., history, anthropology).

Narrative Research • Narrative research in education has been influenced by several factors. • The increased emphasis in teacher reflection and action research • The increased emphasis on teacher knowledge • The increased emphasis on empowering teachers

Narrative Research • Narrative analysis (Current focus) • Researcher collects descriptions of events through interviews and observations and synthesizes them into narratives or stories. • Story is the outcome of the study. • Analysis of narrative • Researcher collects stories as data and seeks to understand underlying themes from the stories.

Narrative Research Process • The narrative research process is highly personal and requires care and sensitivity. • The narrative researcher must be careful with ethical guidelines as narrative research requires a very close relationship between the researcher and the participant.

Narrative Research Process • The relationship between the narrative researcher and the participant needs to be mutually constructed and should include an equality of voice. • Equality of voice is required so that the participant feels empowered to tell the story. • The narrative researcher must determine if she has adequate time and the necessary personal characteristics to conduct this form of research.

Narrative Research Process Consider the experiences of a first- year teacher in a failing urban school district as an example to think through aspects of the narrative research process.

Narrative Research Process • Narrative research process • Identify purpose of the research study and a phenomenon to explore. • In our example the purpose is to explore the experiences and tell the story of a first year teacher in a failing urban school district.

Narrative Research Process • Narrative research process • Identify an individual who can help you learn about the phenomenon. • In our example the individual we select would be a first year teacher in an urban district. We would attend carefully to the participants’ characteristics and our own characteristics to select an informant who could best collaborate on this story.

Narrative Research Process • Narrative research process • Develop initial narrative research questions. • e.g., What have been the participant’s experiences in starting this teaching position. • e.g., What has surprised the participant? • Consider the researcher’s role. • We would seek IRB approval and would obtain all permissions.

Narrative Research Process • Develop data collection methods, paying particular attention to interviewing, and collect the data. • We would conduct interviews and would like to observe our participant’s classroom. We would also likely examine other classroom artifacts.

Narrative Research Process • Collaborate with the research participant to construct the narrative and to validate the accuracy of the story. • We would work with our participant in restorying and assure the written account is accurate. • Write the narrative account.

Types of Narrative Research • Creswell (1995) suggests that the numerous types of narrative research can be categorized based upon several characteristics. • Who authored the account • Scope of the narrative • Who provides the story • Theoretical/conceptual framework • Whether the elements are included in one narrative

Types of Narrative Research • Examples of types of narrative research forms • Autobiographies • Life writing • Personal narratives • Life histories • Narrative interviews

Characteristics of Narrative Research • A focus on the experiences of individuals. • A concern with the chronology of individuals’ experiences. • A focus on the construction of life stories based on data collected through interviews. • Restorying as a teachnique for constructing the narrative account.

Characteristics of Narrative Research • Inclusion of context and place in the story. • A collaborative approach that involves the researcher and the participants in the negotiation of the final text. • A narrative constructed around the question, “And then what happened?”.

Narrative Research Techniques • Narrative research uses multiple data sources. • Data in narrative research include field notes on shared research experiences. • Data in narrative research include journal entries and letter writing. • Data in narrative research include documents and artifacts (e.g., lesson plans). • Narrative research requires triangulation of data sources.

Narrative Data Collection Techniques • Restorying steps • Researcher conducts the interview and transcribes the audiotape • Researcher transcribes the data based upon key elements that are identified in the story • Researcher organizes the story into a chronological sequence with attention to setting, characters, actions, problems, and resolutions. • The researcher invites the participant to collaborate on the final narrative.

Narrative Data Collection Techniques • Oral history • Participants share oral histories. • Structured or open-ended interview • May ask participant to create timeline (chronicle) • May ask participant to journal • Photographs, memory boxes and other artifacts • Participants share artifacts (e.g., newpapers, etc).

Narrative Data Collection Techniques • Storytelling • Participants tell frequent stories that are used as data. • Letter writing • Dialogue between the participant and the researcher is documented. • Can be e-mail • Autobiographical and biographical writing • Participants construct or collaboratively construct the writing.

Writing The Narrative • Final step in narrative research • Conducted collaboratively with the participant • Equality of voice continues to be critical element of a narrative during the writing phase

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Strong Research Presentations from Cardiothoracic Surgery Engaged the International Transplant Community

by  Mary Sheridan Bilbao, PA-C, MPAS May 1, 2024

At the recent 44th International Society for Heart and Lung Transplantation (ISHLT) annual meeting, the Stanford Department of Cardiothoracic Surgery showcased their groundbreaking advancements in heart and lung transplantation , along with pioneering work from the Advanced Lung Support Program .

ISHLT is an international, multidisciplinary professional society dedicated to improving the care of patients with advanced heart or lung disease through transplantation, mechanical support and innovative therapies via research, education and advocacy.  This year, ISHLT held its annual meeting, in Prague Congress Centre, Prague, Czech Republic, from April 10-13, 2024.

Stanford faculty, residents, and trainees participated in over 40 presentations, including podium talks and poster presentations. Among these were 15 presentations from the Department of Cardiothoracic Surgery, 21 from the Division of Cardiovascular Medicine, and 6 from the Division of Pulmonary, Allergy & Critical Care Medicine. 

The following presentations from the Department of Cardiothoracic Surgery included:

Maria Currie, MD, PhD , Clinical Assistant Professor Cardiothoracic Transplantation Laboratory 

Presenter:   Reid Dale, PhD , Postdoctoral Fellow in Currie’s lab

• Nonlinear Effect of Body Mass Index on Postoperative Survival Following Isolated Heart Transplant  (podium presentation)
• Utilizing Machine Learning Clustering Trees to Risk Stratify Exception patients in Heart Transplantation  (podium presentation)
• Causal Nonlinear Dose Response Analysis of Predicted Heart Mass Mismatching  (poster presentation)
• Donor-Recipient Sex-Mismatching in Isolated Heart Transplant Confers No Postoperative Risk as Established by Equivalence Testing and Causal Estimation  (poster presentation)
• Misalignment of Ethics and Statistical Risk Models in Organ Allocation  (poster presentation)  

Presenter:   Nataliya Bahatyrevich, MD , Integrated Cardiothoracic Surgery resident at UC Davis in Currie’s lab

• Induction Therapy Confers Survival Advantage in Mechanically Supported Patients Regardless of Peak CPRA in Heart Transplantation  (podium presentation)

Brandon Guenthart, MD , Clinical Assistant Professor Lung Recovery and Bioengineering Laboratory

Presentations:

• Mobile Thermoelectric Cooler for 10 °C Lung Preservation
• Donor Profile Changes with the Lung Composite Allocation Score
• Eliminating Ischemia: Sustaining Cardiac Function During Donor Procurement
• Young at Heart: Survival Among Septuagenarian Heart Transplant Recipient Has Decreased Over the Past Decade
• A Comprehensive Risk Score to Predict One Year Mortality After Heart-Lung Transplantation

J.W. MacArthur, MD , Assistant Professor Cardiothoracic Advanced Surgical Materials Laboratory

Presenter:  Elbert Heng, MD,  Postdoctoral Research Fellow in MacArthur’s Lab

• ECMO as a Bridge to Thoracic Multi-Organ Transplantation
• Failure to Rescue in Heart Lung Transplantation: Progress Over 30 Years

Presenter:   Aravind Krishnan, MD,  Postdoctoral Research Fellow in MacArthur’s Lab

• Preservation of Bronchial Artery Circulation on Ex-Vivo Lung Perfusion
• Tracheal Auto-Transplantation as a Model of Airway Ischemia in Lung Transplantation

Yasuhiro Shudo, MD, PhD , Clinical Assistant Professor Stanford Translational Heart Failure Research Laboratory

Moderator: Session Type: Oral Session. Primary Graft Dysfunction in Heart Transplantation: What’s Hot in a Cold Case?

• Real-World Clinical Outcomes of DCD Heart Transplantation from the OCS Heart Perfusion (OHP) Registry: Benchmarking to Other Preservation Methods (presented as co-author)
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• Impact of Total Allograft Ischemic Time on Heart-Lung Transplantation Outcomes in the United States (presented as co-author)
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• Improved 2-Year Heart Transplant Survival with Moderate Hypothermic Donor Heart Preservation in the Guardian Heart Registry (presented as co-author)
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• Reduced Risk of Cardiovascular-Related Death Associated with Moderate Hypothermic Donor Heart Preservation in the Guardian Heart Registry (presented as co-author)
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• Read all the Scientific Program details here. The next ISHLT 45th Annual Meeting will be held in Boston, MA, from April 26-30, 2025.
• ISHLT post meeting photos

Event Photos and X (formally Twitter) Photos

Photo Credits: Maria Currie, Elbert Heng, Brandon Guenthart, Yasuhiro Shudo

2024 Tiny Earth Summer Symposium

Student research presentations – session i, wisconsin institute for discovery – main atrium @ 1:00pm.

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The Most Innovative Technology: The Da Vinci Robotic Surgical System

Elaine Webb

Liberty University

The Mayo Clinic reported in February 2019 that the Da Vinci robot surgical system is one of the more prominent and important surgical devices today. However, it is seldom discussed in circles outside ..

The Mayo Clinic reported in February 2019 that the Da Vinci robot surgical system is one of the more prominent and important surgical devices today. However, it is seldom discussed in circles outside of the medical realm. This presentation discusses how this revolutionary machine was designed to facilitate complex surgery using a minimally invasive approach. This revolutionary aspect is Doctors Moll and Young’s three main components: the vision cart, the surgeon console, and the patient cart. This presentation explains the fundamentals of these components and how they have been both beneficial to surgeries and may malfunction, harming patients. Additionally, this paper processes the origin and public reception of Da Vinci before analyzing its implications. The implications Da Vinci brings forward are the future potential of virtual surgeries and artificial surgeons. If virtual surgeries are implemented to the Da Vinci, it would bridge the medical infrastructure gap between the haves and the have-nots of the world. Artificial surgeons are the second implication as the development by scholars may open the door to a whole new world of medical warfare. When war and conflict target those who are unable to defend themselves, it necessitates the future protection of the Da Vinci. Other implications include the applied effects of virtual surgeries and artificial surgeons. This presentation acknowledges that when technology like this is so heavily used in society, it is guaranteed to impact the global future. Its components and implications could drive the next generation of medical technology and manipulation.

https://digitalcommons.liberty.edu/context/research_symp/article/2615/viewcontent

http://digitalcommons.liberty.edu/research_symp/2024/oral_presentations/81

bc7f04d9-7570-4c31-bf33-56b9ce2fc19e

Undergraduate

2024-04-17T17:00:00Z

Oral - Textual or Investigative

https://digitalcommons.liberty.edu/cgi/viewcontent.cgi?article=2615&context=research_symp

Center for Environmental Research and Technology

We Engineer Excellence

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Editing Narrative Texts PowerPoint/Lesson Creative Writing

Subject: English

Age range: 7-11

Resource type: Lesson (complete)

Last updated

31 May 2024

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Are you tired of having to edit so many writing pieces? Well, with this Narrative Writing Editing PowerPoint, you won’t have to do all the editing anymore! Use this PowerPoint to teach and empower your students to edit their own narrative texts! With plenty of examples and clear explanations, your students will be engaged and informed about how to edit their own stories in no time!

FEATURES Editing Narrative Texts PowerPoint PDF Format Steps and examples for editing a narrative text

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