analysis of case study student

Do Your Students Know How to Analyze a Case—Really?

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• Case Teaching
• Student Engagement

J ust as actors, athletes, and musicians spend thousands of hours practicing their craft, business students benefit from practicing their critical-thinking and decision-making skills. Students, however, often have limited exposure to real-world problem-solving scenarios; they need more opportunities to practice tackling tough business problems and deciding on—and executing—the best solutions.

To ensure students have ample opportunity to develop these critical-thinking and decision-making skills, we believe business faculty should shift from teaching mostly principles and ideas to mostly applications and practices. And in doing so, they should emphasize the case method, which simulates real-world management challenges and opportunities for students.

To help educators facilitate this shift and help students get the most out of case-based learning, we have developed a framework for analyzing cases. We call it PACADI (Problem, Alternatives, Criteria, Analysis, Decision, Implementation); it can improve learning outcomes by helping students better solve and analyze business problems, make decisions, and develop and implement strategy. Here, we’ll explain why we developed this framework, how it works, and what makes it an effective learning tool.

The Case for Cases: Helping Students Think Critically

Business students must develop critical-thinking and analytical skills, which are essential to their ability to make good decisions in functional areas such as marketing, finance, operations, and information technology, as well as to understand the relationships among these functions. For example, the decisions a marketing manager must make include strategic planning (segments, products, and channels); execution (digital messaging, media, branding, budgets, and pricing); and operations (integrated communications and technologies), as well as how to implement decisions across functional areas.

Faculty can use many types of cases to help students develop these skills. These include the prototypical “paper cases”; live cases , which feature guest lecturers such as entrepreneurs or corporate leaders and on-site visits; and multimedia cases , which immerse students into real situations. Most cases feature an explicit or implicit decision that a protagonist—whether it is an individual, a group, or an organization—must make.

For students new to learning by the case method—and even for those with case experience—some common issues can emerge; these issues can sometimes be a barrier for educators looking to ensure the best possible outcomes in their case classrooms. Unsure of how to dig into case analysis on their own, students may turn to the internet or rely on former students for “answers” to assigned cases. Or, when assigned to provide answers to assignment questions in teams, students might take a divide-and-conquer approach but not take the time to regroup and provide answers that are consistent with one other.

To help address these issues, which we commonly experienced in our classes, we wanted to provide our students with a more structured approach for how they analyze cases—and to really think about making decisions from the protagonists’ point of view. We developed the PACADI framework to address this need.

PACADI: A Six-Step Decision-Making Approach

The PACADI framework is a six-step decision-making approach that can be used in lieu of traditional end-of-case questions. It offers a structured, integrated, and iterative process that requires students to analyze case information, apply business concepts to derive valuable insights, and develop recommendations based on these insights.

Prior to beginning a PACADI assessment, which we’ll outline here, students should first prepare a two-paragraph summary—a situation analysis—that highlights the key case facts. Then, we task students with providing a five-page PACADI case analysis (excluding appendices) based on the following six steps.

Step 1: Problem definition. What is the major challenge, problem, opportunity, or decision that has to be made? If there is more than one problem, choose the most important one. Often when solving the key problem, other issues will surface and be addressed. The problem statement may be framed as a question; for example, How can brand X improve market share among millennials in Canada? Usually the problem statement has to be re-written several times during the analysis of a case as students peel back the layers of symptoms or causation.

Step 2: Alternatives. Identify in detail the strategic alternatives to address the problem; three to five options generally work best. Alternatives should be mutually exclusive, realistic, creative, and feasible given the constraints of the situation. Doing nothing or delaying the decision to a later date are not considered acceptable alternatives.

Step 3: Criteria. What are the key decision criteria that will guide decision-making? In a marketing course, for example, these may include relevant marketing criteria such as segmentation, positioning, advertising and sales, distribution, and pricing. Financial criteria useful in evaluating the alternatives should be included—for example, income statement variables, customer lifetime value, payback, etc. Students must discuss their rationale for selecting the decision criteria and the weights and importance for each factor.

Step 4: Analysis. Provide an in-depth analysis of each alternative based on the criteria chosen in step three. Decision tables using criteria as columns and alternatives as rows can be helpful. The pros and cons of the various choices as well as the short- and long-term implications of each may be evaluated. Best, worst, and most likely scenarios can also be insightful.

Step 5: Decision. Students propose their solution to the problem. This decision is justified based on an in-depth analysis. Explain why the recommendation made is the best fit for the criteria.

Step 6: Implementation plan. Sound business decisions may fail due to poor execution. To enhance the likeliness of a successful project outcome, students describe the key steps (activities) to implement the recommendation, timetable, projected costs, expected competitive reaction, success metrics, and risks in the plan.

“Students note that using the PACADI framework yields ‘aha moments’—they learned something surprising in the case that led them to think differently about the problem and their proposed solution.”

PACADI’s Benefits: Meaningfully and Thoughtfully Applying Business Concepts

The PACADI framework covers all of the major elements of business decision-making, including implementation, which is often overlooked. By stepping through the whole framework, students apply relevant business concepts and solve management problems via a systematic, comprehensive approach; they’re far less likely to surface piecemeal responses.

As students explore each part of the framework, they may realize that they need to make changes to a previous step. For instance, when working on implementation, students may realize that the alternative they selected cannot be executed or will not be profitable, and thus need to rethink their decision. Or, they may discover that the criteria need to be revised since the list of decision factors they identified is incomplete (for example, the factors may explain key marketing concerns but fail to address relevant financial considerations) or is unrealistic (for example, they suggest a 25 percent increase in revenues without proposing an increased promotional budget).

In addition, the PACADI framework can be used alongside quantitative assignments, in-class exercises, and business and management simulations. The structured, multi-step decision framework encourages careful and sequential analysis to solve business problems. Incorporating PACADI as an overarching decision-making method across different projects will ultimately help students achieve desired learning outcomes. As a practical “beyond-the-classroom” tool, the PACADI framework is not a contrived course assignment; it reflects the decision-making approach that managers, executives, and entrepreneurs exercise daily. Case analysis introduces students to the real-world process of making business decisions quickly and correctly, often with limited information. This framework supplies an organized and disciplined process that students can readily defend in writing and in class discussions.

PACADI in Action: An Example

Here’s an example of how students used the PACADI framework for a recent case analysis on CVS, a large North American drugstore chain.

The CVS Prescription for Customer Value*

PACADI Stage

Summary Response

How should CVS Health evolve from the “drugstore of your neighborhood” to the “drugstore of your future”?

Alternatives

A1. Kaizen (continuous improvement)

A2. Product development

A3. Market development

A4. Personalization (micro-targeting)

Criteria (include weights)

C1. Customer value: service, quality, image, and price (40%)

C2. Customer obsession (20%)

C3. Growth through related businesses (20%)

C4. Customer retention and customer lifetime value (20%)

Each alternative was analyzed by each criterion using a Customer Value Assessment Tool

Alternative 4 (A4): Personalization was selected. This is operationalized via: segmentation—move toward segment-of-1 marketing; geodemographics and lifestyle emphasis; predictive data analysis; relationship marketing; people, principles, and supply chain management; and exceptional customer service.

Implementation

Partner with leading medical school

Curbside pick-up

Pet pharmacy

E-newsletter for customers and employees

Employee incentive program

CVS beauty days

Expand to Latin America and Caribbean

Healthier/happier corner

Holiday toy drives/community outreach

*Source: A. Weinstein, Y. Rodriguez, K. Sims, R. Vergara, “The CVS Prescription for Superior Customer Value—A Case Study,” Back to the Future: Revisiting the Foundations of Marketing from Society for Marketing Advances, West Palm Beach, FL (November 2, 2018).

Results of Using the PACADI Framework

When faculty members at our respective institutions at Nova Southeastern University (NSU) and the University of North Carolina Wilmington have used the PACADI framework, our classes have been more structured and engaging. Students vigorously debate each element of their decision and note that this framework yields an “aha moment”—they learned something surprising in the case that led them to think differently about the problem and their proposed solution.

These lively discussions enhance individual and collective learning. As one external metric of this improvement, we have observed a 2.5 percent increase in student case grade performance at NSU since this framework was introduced.

Tips to Get Started

The PACADI approach works well in in-person, online, and hybrid courses. This is particularly important as more universities have moved to remote learning options. Because students have varied educational and cultural backgrounds, work experience, and familiarity with case analysis, we recommend that faculty members have students work on their first case using this new framework in small teams (two or three students). Additional analyses should then be solo efforts.

To use PACADI effectively in your classroom, we suggest the following:

Advise your students that your course will stress critical thinking and decision-making skills, not just course concepts and theory.

Use a varied mix of case studies. As marketing professors, we often address consumer and business markets; goods, services, and digital commerce; domestic and global business; and small and large companies in a single MBA course.

As a starting point, provide a short explanation (about 20 to 30 minutes) of the PACADI framework with a focus on the conceptual elements. You can deliver this face to face or through videoconferencing.

Give students an opportunity to practice the case analysis methodology via an ungraded sample case study. Designate groups of five to seven students to discuss the case and the six steps in breakout sessions (in class or via Zoom).

Ensure case analyses are weighted heavily as a grading component. We suggest 30–50 percent of the overall course grade.

Once cases are graded, debrief with the class on what they did right and areas needing improvement (30- to 40-minute in-person or Zoom session).

Encourage faculty teams that teach common courses to build appropriate instructional materials, grading rubrics, videos, sample cases, and teaching notes.

When selecting case studies, we have found that the best ones for PACADI analyses are about 15 pages long and revolve around a focal management decision. This length provides adequate depth yet is not protracted. Some of our tested and favorite marketing cases include Brand W , Hubspot , Kraft Foods Canada , TRSB(A) , and Whiskey & Cheddar .

Art Weinstein , Ph.D., is a professor of marketing at Nova Southeastern University, Fort Lauderdale, Florida. He has published more than 80 scholarly articles and papers and eight books on customer-focused marketing strategy. His latest book is Superior Customer Value—Finding and Keeping Customers in the Now Economy . Dr. Weinstein has consulted for many leading technology and service companies.

Herbert V. Brotspies , D.B.A., is an adjunct professor of marketing at Nova Southeastern University. He has over 30 years’ experience as a vice president in marketing, strategic planning, and acquisitions for Fortune 50 consumer products companies working in the United States and internationally. His research interests include return on marketing investment, consumer behavior, business-to-business strategy, and strategic planning.

John T. Gironda , Ph.D., is an assistant professor of marketing at the University of North Carolina Wilmington. His research has been published in Industrial Marketing Management, Psychology & Marketing , and Journal of Marketing Management . He has also presented at major marketing conferences including the American Marketing Association, Academy of Marketing Science, and Society for Marketing Advances.

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Organizing Your Social Sciences Research Assignments

• Annotated Bibliography
• Analyzing a Scholarly Journal Article
• Group Presentations
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• Types of Structured Group Activities
• Group Project Survival Skills
• Leading a Class Discussion
• Multiple Book Review Essay
• Reviewing Collected Works
• Writing a Case Analysis Paper
• Writing a Case Study
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Reflective Paper
• Writing a Research Proposal
• Generative AI and Writing
• Acknowledgments

A case study research paper examines a person, place, event, condition, phenomenon, or other type of subject of analysis in order to extrapolate  key themes and results that help predict future trends, illuminate previously hidden issues that can be applied to practice, and/or provide a means for understanding an important research problem with greater clarity. A case study research paper usually examines a single subject of analysis, but case study papers can also be designed as a comparative investigation that shows relationships between two or more subjects. The methods used to study a case can rest within a quantitative, qualitative, or mixed-method investigative paradigm.

Case Studies. Writing@CSU. Colorado State University; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010 ; “What is a Case Study?” In Swanborn, Peter G. Case Study Research: What, Why and How? London: SAGE, 2010.

How to Approach Writing a Case Study Research Paper

General information about how to choose a topic to investigate can be found under the " Choosing a Research Problem " tab in the Organizing Your Social Sciences Research Paper writing guide. Review this page because it may help you identify a subject of analysis that can be investigated using a case study design.

However, identifying a case to investigate involves more than choosing the research problem . A case study encompasses a problem contextualized around the application of in-depth analysis, interpretation, and discussion, often resulting in specific recommendations for action or for improving existing conditions. As Seawright and Gerring note, practical considerations such as time and access to information can influence case selection, but these issues should not be the sole factors used in describing the methodological justification for identifying a particular case to study. Given this, selecting a case includes considering the following:

• The case represents an unusual or atypical example of a research problem that requires more in-depth analysis? Cases often represent a topic that rests on the fringes of prior investigations because the case may provide new ways of understanding the research problem. For example, if the research problem is to identify strategies to improve policies that support girl's access to secondary education in predominantly Muslim nations, you could consider using Azerbaijan as a case study rather than selecting a more obvious nation in the Middle East. Doing so may reveal important new insights into recommending how governments in other predominantly Muslim nations can formulate policies that support improved access to education for girls.
• The case provides important insight or illuminate a previously hidden problem? In-depth analysis of a case can be based on the hypothesis that the case study will reveal trends or issues that have not been exposed in prior research or will reveal new and important implications for practice. For example, anecdotal evidence may suggest drug use among homeless veterans is related to their patterns of travel throughout the day. Assuming prior studies have not looked at individual travel choices as a way to study access to illicit drug use, a case study that observes a homeless veteran could reveal how issues of personal mobility choices facilitate regular access to illicit drugs. Note that it is important to conduct a thorough literature review to ensure that your assumption about the need to reveal new insights or previously hidden problems is valid and evidence-based.
• The case challenges and offers a counter-point to prevailing assumptions? Over time, research on any given topic can fall into a trap of developing assumptions based on outdated studies that are still applied to new or changing conditions or the idea that something should simply be accepted as "common sense," even though the issue has not been thoroughly tested in current practice. A case study analysis may offer an opportunity to gather evidence that challenges prevailing assumptions about a research problem and provide a new set of recommendations applied to practice that have not been tested previously. For example, perhaps there has been a long practice among scholars to apply a particular theory in explaining the relationship between two subjects of analysis. Your case could challenge this assumption by applying an innovative theoretical framework [perhaps borrowed from another discipline] to explore whether this approach offers new ways of understanding the research problem. Taking a contrarian stance is one of the most important ways that new knowledge and understanding develops from existing literature.
• The case provides an opportunity to pursue action leading to the resolution of a problem? Another way to think about choosing a case to study is to consider how the results from investigating a particular case may result in findings that reveal ways in which to resolve an existing or emerging problem. For example, studying the case of an unforeseen incident, such as a fatal accident at a railroad crossing, can reveal hidden issues that could be applied to preventative measures that contribute to reducing the chance of accidents in the future. In this example, a case study investigating the accident could lead to a better understanding of where to strategically locate additional signals at other railroad crossings so as to better warn drivers of an approaching train, particularly when visibility is hindered by heavy rain, fog, or at night.
• The case offers a new direction in future research? A case study can be used as a tool for an exploratory investigation that highlights the need for further research about the problem. A case can be used when there are few studies that help predict an outcome or that establish a clear understanding about how best to proceed in addressing a problem. For example, after conducting a thorough literature review [very important!], you discover that little research exists showing the ways in which women contribute to promoting water conservation in rural communities of east central Africa. A case study of how women contribute to saving water in a rural village of Uganda can lay the foundation for understanding the need for more thorough research that documents how women in their roles as cooks and family caregivers think about water as a valuable resource within their community. This example of a case study could also point to the need for scholars to build new theoretical frameworks around the topic [e.g., applying feminist theories of work and family to the issue of water conservation].

Eisenhardt, Kathleen M. “Building Theories from Case Study Research.” Academy of Management Review 14 (October 1989): 532-550; Emmel, Nick. Sampling and Choosing Cases in Qualitative Research: A Realist Approach . Thousand Oaks, CA: SAGE Publications, 2013; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Seawright, Jason and John Gerring. "Case Selection Techniques in Case Study Research." Political Research Quarterly 61 (June 2008): 294-308.

Structure and Writing Style

The purpose of a paper in the social sciences designed around a case study is to thoroughly investigate a subject of analysis in order to reveal a new understanding about the research problem and, in so doing, contributing new knowledge to what is already known from previous studies. In applied social sciences disciplines [e.g., education, social work, public administration, etc.], case studies may also be used to reveal best practices, highlight key programs, or investigate interesting aspects of professional work.

In general, the structure of a case study research paper is not all that different from a standard college-level research paper. However, there are subtle differences you should be aware of. Here are the key elements to organizing and writing a case study research paper.

I.  Introduction

As with any research paper, your introduction should serve as a roadmap for your readers to ascertain the scope and purpose of your study . The introduction to a case study research paper, however, should not only describe the research problem and its significance, but you should also succinctly describe why the case is being used and how it relates to addressing the problem. The two elements should be linked. With this in mind, a good introduction answers these four questions:

• What is being studied? Describe the research problem and describe the subject of analysis [the case] you have chosen to address the problem. Explain how they are linked and what elements of the case will help to expand knowledge and understanding about the problem.
• Why is this topic important to investigate? Describe the significance of the research problem and state why a case study design and the subject of analysis that the paper is designed around is appropriate in addressing the problem.
• What did we know about this topic before I did this study? Provide background that helps lead the reader into the more in-depth literature review to follow. If applicable, summarize prior case study research applied to the research problem and why it fails to adequately address the problem. Describe why your case will be useful. If no prior case studies have been used to address the research problem, explain why you have selected this subject of analysis.
• How will this study advance new knowledge or new ways of understanding? Explain why your case study will be suitable in helping to expand knowledge and understanding about the research problem.

Each of these questions should be addressed in no more than a few paragraphs. Exceptions to this can be when you are addressing a complex research problem or subject of analysis that requires more in-depth background information.

II.  Literature Review

The literature review for a case study research paper is generally structured the same as it is for any college-level research paper. The difference, however, is that the literature review is focused on providing background information and  enabling historical interpretation of the subject of analysis in relation to the research problem the case is intended to address . This includes synthesizing studies that help to:

• Place relevant works in the context of their contribution to understanding the case study being investigated . This would involve summarizing studies that have used a similar subject of analysis to investigate the research problem. If there is literature using the same or a very similar case to study, you need to explain why duplicating past research is important [e.g., conditions have changed; prior studies were conducted long ago, etc.].
• Describe the relationship each work has to the others under consideration that informs the reader why this case is applicable . Your literature review should include a description of any works that support using the case to investigate the research problem and the underlying research questions.
• Identify new ways to interpret prior research using the case study . If applicable, review any research that has examined the research problem using a different research design. Explain how your use of a case study design may reveal new knowledge or a new perspective or that can redirect research in an important new direction.
• Resolve conflicts amongst seemingly contradictory previous studies . This refers to synthesizing any literature that points to unresolved issues of concern about the research problem and describing how the subject of analysis that forms the case study can help resolve these existing contradictions.
• Point the way in fulfilling a need for additional research . Your review should examine any literature that lays a foundation for understanding why your case study design and the subject of analysis around which you have designed your study may reveal a new way of approaching the research problem or offer a perspective that points to the need for additional research.
• Expose any gaps that exist in the literature that the case study could help to fill . Summarize any literature that not only shows how your subject of analysis contributes to understanding the research problem, but how your case contributes to a new way of understanding the problem that prior research has failed to do.
• Locate your own research within the context of existing literature [very important!] . Collectively, your literature review should always place your case study within the larger domain of prior research about the problem. The overarching purpose of reviewing pertinent literature in a case study paper is to demonstrate that you have thoroughly identified and synthesized prior studies in relation to explaining the relevance of the case in addressing the research problem.

III.  Method

In this section, you explain why you selected a particular case [i.e., subject of analysis] and the strategy you used to identify and ultimately decide that your case was appropriate in addressing the research problem. The way you describe the methods used varies depending on the type of subject of analysis that constitutes your case study.

If your subject of analysis is an incident or event . In the social and behavioral sciences, the event or incident that represents the case to be studied is usually bounded by time and place, with a clear beginning and end and with an identifiable location or position relative to its surroundings. The subject of analysis can be a rare or critical event or it can focus on a typical or regular event. The purpose of studying a rare event is to illuminate new ways of thinking about the broader research problem or to test a hypothesis. Critical incident case studies must describe the method by which you identified the event and explain the process by which you determined the validity of this case to inform broader perspectives about the research problem or to reveal new findings. However, the event does not have to be a rare or uniquely significant to support new thinking about the research problem or to challenge an existing hypothesis. For example, Walo, Bull, and Breen conducted a case study to identify and evaluate the direct and indirect economic benefits and costs of a local sports event in the City of Lismore, New South Wales, Australia. The purpose of their study was to provide new insights from measuring the impact of a typical local sports event that prior studies could not measure well because they focused on large "mega-events." Whether the event is rare or not, the methods section should include an explanation of the following characteristics of the event: a) when did it take place; b) what were the underlying circumstances leading to the event; and, c) what were the consequences of the event in relation to the research problem.

If your subject of analysis is a person. Explain why you selected this particular individual to be studied and describe what experiences they have had that provide an opportunity to advance new understandings about the research problem. Mention any background about this person which might help the reader understand the significance of their experiences that make them worthy of study. This includes describing the relationships this person has had with other people, institutions, and/or events that support using them as the subject for a case study research paper. It is particularly important to differentiate the person as the subject of analysis from others and to succinctly explain how the person relates to examining the research problem [e.g., why is one politician in a particular local election used to show an increase in voter turnout from any other candidate running in the election]. Note that these issues apply to a specific group of people used as a case study unit of analysis [e.g., a classroom of students].

If your subject of analysis is a place. In general, a case study that investigates a place suggests a subject of analysis that is unique or special in some way and that this uniqueness can be used to build new understanding or knowledge about the research problem. A case study of a place must not only describe its various attributes relevant to the research problem [e.g., physical, social, historical, cultural, economic, political], but you must state the method by which you determined that this place will illuminate new understandings about the research problem. It is also important to articulate why a particular place as the case for study is being used if similar places also exist [i.e., if you are studying patterns of homeless encampments of veterans in open spaces, explain why you are studying Echo Park in Los Angeles rather than Griffith Park?]. If applicable, describe what type of human activity involving this place makes it a good choice to study [e.g., prior research suggests Echo Park has more homeless veterans].

If your subject of analysis is a phenomenon. A phenomenon refers to a fact, occurrence, or circumstance that can be studied or observed but with the cause or explanation to be in question. In this sense, a phenomenon that forms your subject of analysis can encompass anything that can be observed or presumed to exist but is not fully understood. In the social and behavioral sciences, the case usually focuses on human interaction within a complex physical, social, economic, cultural, or political system. For example, the phenomenon could be the observation that many vehicles used by ISIS fighters are small trucks with English language advertisements on them. The research problem could be that ISIS fighters are difficult to combat because they are highly mobile. The research questions could be how and by what means are these vehicles used by ISIS being supplied to the militants and how might supply lines to these vehicles be cut off? How might knowing the suppliers of these trucks reveal larger networks of collaborators and financial support? A case study of a phenomenon most often encompasses an in-depth analysis of a cause and effect that is grounded in an interactive relationship between people and their environment in some way.

NOTE:   The choice of the case or set of cases to study cannot appear random. Evidence that supports the method by which you identified and chose your subject of analysis should clearly support investigation of the research problem and linked to key findings from your literature review. Be sure to cite any studies that helped you determine that the case you chose was appropriate for examining the problem.

IV.  Discussion

The main elements of your discussion section are generally the same as any research paper, but centered around interpreting and drawing conclusions about the key findings from your analysis of the case study. Note that a general social sciences research paper may contain a separate section to report findings. However, in a paper designed around a case study, it is common to combine a description of the results with the discussion about their implications. The objectives of your discussion section should include the following:

Reiterate the Research Problem/State the Major Findings Briefly reiterate the research problem you are investigating and explain why the subject of analysis around which you designed the case study were used. You should then describe the findings revealed from your study of the case using direct, declarative, and succinct proclamation of the study results. Highlight any findings that were unexpected or especially profound.

Explain the Meaning of the Findings and Why They are Important Systematically explain the meaning of your case study findings and why you believe they are important. Begin this part of the section by repeating what you consider to be your most important or surprising finding first, then systematically review each finding. Be sure to thoroughly extrapolate what your analysis of the case can tell the reader about situations or conditions beyond the actual case that was studied while, at the same time, being careful not to misconstrue or conflate a finding that undermines the external validity of your conclusions.

Relate the Findings to Similar Studies No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your case study results to those found in other studies, particularly if questions raised from prior studies served as the motivation for choosing your subject of analysis. This is important because comparing and contrasting the findings of other studies helps support the overall importance of your results and it highlights how and in what ways your case study design and the subject of analysis differs from prior research about the topic.

Consider Alternative Explanations of the Findings Remember that the purpose of social science research is to discover and not to prove. When writing the discussion section, you should carefully consider all possible explanations revealed by the case study results, rather than just those that fit your hypothesis or prior assumptions and biases. Be alert to what the in-depth analysis of the case may reveal about the research problem, including offering a contrarian perspective to what scholars have stated in prior research if that is how the findings can be interpreted from your case.

Acknowledge the Study's Limitations You can state the study's limitations in the conclusion section of your paper but describing the limitations of your subject of analysis in the discussion section provides an opportunity to identify the limitations and explain why they are not significant. This part of the discussion section should also note any unanswered questions or issues your case study could not address. More detailed information about how to document any limitations to your research can be found here .

Suggest Areas for Further Research Although your case study may offer important insights about the research problem, there are likely additional questions related to the problem that remain unanswered or findings that unexpectedly revealed themselves as a result of your in-depth analysis of the case. Be sure that the recommendations for further research are linked to the research problem and that you explain why your recommendations are valid in other contexts and based on the original assumptions of your study.

V.  Conclusion

As with any research paper, you should summarize your conclusion in clear, simple language; emphasize how the findings from your case study differs from or supports prior research and why. Do not simply reiterate the discussion section. Provide a synthesis of key findings presented in the paper to show how these converge to address the research problem. If you haven't already done so in the discussion section, be sure to document the limitations of your case study and any need for further research.

The function of your paper's conclusion is to: 1) reiterate the main argument supported by the findings from your case study; 2) state clearly the context, background, and necessity of pursuing the research problem using a case study design in relation to an issue, controversy, or a gap found from reviewing the literature; and, 3) provide a place to persuasively and succinctly restate the significance of your research problem, given that the reader has now been presented with in-depth information about the topic.

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

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

Note that, depending on the discipline you are writing in or the preferences of your professor, the concluding paragraph may contain your final reflections on the evidence presented as it applies to practice or on the essay's central research problem. However, the nature of being introspective about the subject of analysis you have investigated will depend on whether you are explicitly asked to express your observations in this way.

Problems to Avoid

Overgeneralization One of the goals of a case study is to lay a foundation for understanding broader trends and issues applied to similar circumstances. However, be careful when drawing conclusions from your case study. They must be evidence-based and grounded in the results of the study; otherwise, it is merely speculation. Looking at a prior example, it would be incorrect to state that a factor in improving girls access to education in Azerbaijan and the policy implications this may have for improving access in other Muslim nations is due to girls access to social media if there is no documentary evidence from your case study to indicate this. There may be anecdotal evidence that retention rates were better for girls who were engaged with social media, but this observation would only point to the need for further research and would not be a definitive finding if this was not a part of your original research agenda.

Failure to Document Limitations No case is going to reveal all that needs to be understood about a research problem. Therefore, just as you have to clearly state the limitations of a general research study , you must describe the specific limitations inherent in the subject of analysis. For example, the case of studying how women conceptualize the need for water conservation in a village in Uganda could have limited application in other cultural contexts or in areas where fresh water from rivers or lakes is plentiful and, therefore, conservation is understood more in terms of managing access rather than preserving access to a scarce resource.

Failure to Extrapolate All Possible Implications Just as you don't want to over-generalize from your case study findings, you also have to be thorough in the consideration of all possible outcomes or recommendations derived from your findings. If you do not, your reader may question the validity of your analysis, particularly if you failed to document an obvious outcome from your case study research. For example, in the case of studying the accident at the railroad crossing to evaluate where and what types of warning signals should be located, you failed to take into consideration speed limit signage as well as warning signals. When designing your case study, be sure you have thoroughly addressed all aspects of the problem and do not leave gaps in your analysis that leave the reader questioning the results.

Case Studies. Writing@CSU. Colorado State University; Gerring, John. Case Study Research: Principles and Practices . New York: Cambridge University Press, 2007; Merriam, Sharan B. Qualitative Research and Case Study Applications in Education . Rev. ed. San Francisco, CA: Jossey-Bass, 1998; Miller, Lisa L. “The Use of Case Studies in Law and Social Science Research.” Annual Review of Law and Social Science 14 (2018): TBD; Mills, Albert J., Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Putney, LeAnn Grogan. "Case Study." In Encyclopedia of Research Design , Neil J. Salkind, editor. (Thousand Oaks, CA: SAGE Publications, 2010), pp. 116-120; Simons, Helen. Case Study Research in Practice . London: SAGE Publications, 2009;  Kratochwill,  Thomas R. and Joel R. Levin, editors. Single-Case Research Design and Analysis: New Development for Psychology and Education .  Hilldsale, NJ: Lawrence Erlbaum Associates, 1992; Swanborn, Peter G. Case Study Research: What, Why and How? London : SAGE, 2010; Yin, Robert K. Case Study Research: Design and Methods . 6th edition. Los Angeles, CA, SAGE Publications, 2014; Walo, Maree, Adrian Bull, and Helen Breen. “Achieving Economic Benefits at Local Events: A Case Study of a Local Sports Event.” Festival Management and Event Tourism 4 (1996): 95-106.

Writing Tip

At Least Five Misconceptions about Case Study Research

Social science case studies are often perceived as limited in their ability to create new knowledge because they are not randomly selected and findings cannot be generalized to larger populations. Flyvbjerg examines five misunderstandings about case study research and systematically "corrects" each one. To quote, these are:

Misunderstanding 1 :  General, theoretical [context-independent] knowledge is more valuable than concrete, practical [context-dependent] knowledge. Misunderstanding 2 :  One cannot generalize on the basis of an individual case; therefore, the case study cannot contribute to scientific development. Misunderstanding 3 :  The case study is most useful for generating hypotheses; that is, in the first stage of a total research process, whereas other methods are more suitable for hypotheses testing and theory building. Misunderstanding 4 :  The case study contains a bias toward verification, that is, a tendency to confirm the researcher’s preconceived notions. Misunderstanding 5 :  It is often difficult to summarize and develop general propositions and theories on the basis of specific case studies [p. 221].

While writing your paper, think introspectively about how you addressed these misconceptions because to do so can help you strengthen the validity and reliability of your research by clarifying issues of case selection, the testing and challenging of existing assumptions, the interpretation of key findings, and the summation of case outcomes. Think of a case study research paper as a complete, in-depth narrative about the specific properties and key characteristics of your subject of analysis applied to the research problem.

Flyvbjerg, Bent. “Five Misunderstandings About Case-Study Research.” Qualitative Inquiry 12 (April 2006): 219-245.

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Case Study | Definition, Examples & Methods

Published on 5 May 2022 by Shona McCombes . Revised on 30 January 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating, and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyse the case.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

Unlike quantitative or experimental research, a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

If you find yourself aiming to simultaneously investigate and solve an issue, consider conducting action research . As its name suggests, action research conducts research and takes action at the same time, and is highly iterative and flexible. 

However, you can also choose a more common or representative case to exemplify a particular category, experience, or phenomenon.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews, observations, and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data .

The aim is to gain as thorough an understanding as possible of the case and its context.

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis, with separate sections or chapters for the methods , results , and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyse its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

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15.7 Evaluation: Presentation and Analysis of Case Study

Learning outcomes.

By the end of this section, you will be able to:

• Revise writing to follow the genre conventions of case studies.
• Evaluate the effectiveness and quality of a case study report.

Case studies follow a structure of background and context , methods , findings , and analysis . Body paragraphs should have main points and concrete details. In addition, case studies are written in formal language with precise wording and with a specific purpose and audience (generally other professionals in the field) in mind. Case studies also adhere to the conventions of the discipline’s formatting guide ( APA Documentation and Format in this study). Compare your case study with the following rubric as a final check.

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WCU » WCU Student Resources » Research and Writing » Writing a Case Study Analysis

Guidelines for Writing a Case Study Analysis

A case study analysis requires an investigation to a problem. Then, examine the alternative solutions. Next, propose the most effective solution using supporting evidence.

Preparing the Case

Before you begin writing, follow these guidelines to help you prepare and understand the case study:

• Read and examine the case thoroughly Take notes, highlight relevant facts, and underline key problems.
• Focus your analysis Identify key issues. Who or what are responsible?
• Detect solutions Review: course readings, discussions, outside research, and your experience.
• Select solution[s] Consider all supporting evidence, pros, and cons: is this solution genuine?

Drafting the Case

A draft of your analysis should include these sections:

• Introduction Identify the key problems and issues in the case study. • Formulate and include a thesis statement, summarizing the outcome of your analysis in 1–2 sentences.
• Background Set the scene: background information, relevant facts, and the most important issues. Demonstrate that you have researched the problems in this case study.
• Choices Explain why alternatives were rejected or not possible at this time.
• Solution[s] Provide one specific and realistic solution. Explain why this solution was chosen. Support this solution with solid evidence.
• Recommendations Determine and discuss specific strategies for accomplishing the proposed solution. What should be done and who should do it?

Finalizing the Case

Read through your work to check for any gaps or inconsistencies in content. I suggest reading it out loud. It can bring the inconsistencies or gaps to light much faster than reading it in silence to yourself.

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Writing a Case Study

What is a case study?

A Case study is: 

• An in-depth research design that primarily uses a qualitative methodology but sometimes​​ includes quantitative methodology.
• Used to examine an identifiable problem confirmed through research.
• Used to investigate an individual, group of people, organization, or event.
• Used to mostly answer "how" and "why" questions.

What are the different types of case studies?

Note: These are the primary case studies. As you continue to research and learn

about case studies you will begin to find a robust list of different types. 

Who are your case study participants?

What is triangulation ? 

Validity and credibility are an essential part of the case study. Therefore, the researcher should include triangulation to ensure trustworthiness while accurately reflecting what the researcher seeks to investigate.

How to write a Case Study?

When developing a case study, there are different ways you could present the information, but remember to include the five parts for your case study.

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Case Study Analysis as an Effective Teaching Strategy: Perceptions of Undergraduate Nursing Students From a Middle Eastern Country

Vidya seshan.

1 Maternal and Child Health Department, College of Nursing, Sultan Qaboos University, P.O. Box 66 Al-Khoudh, Postal Code 123, Muscat, Oman

Gerald Amandu Matua

2 Fundamentals and Administration Department, College of Nursing, Sultan Qaboos University, P.O. Box 66 Al-Khoudh, Postal Code 123, Muscat, Oman

Divya Raghavan

Judie arulappan, iman al hashmi, erna judith roach, sheeba elizebath sunderraj, emi john prince.

3 Griffith University, Nathan Campus, Queensland 4111

Background: Case study analysis is an active, problem-based, student-centered, teacher-facilitated teaching strategy preferred in undergraduate programs as they help the students in developing critical thinking skills. Objective: It determined the effectiveness of case study analysis as an effective teacher-facilitated strategy in an undergraduate nursing program. Methodology: A descriptive qualitative research design using focus group discussion method guided the study. The sample included undergraduate nursing students enrolled in the Maternal Health Nursing Course during the Academic Years 2017 and 2018. The researcher used a purposive sampling technique and a total of 22 students participated in the study, through five (5) focus groups, with each focus group comprising between four to six nursing students. Results: In total, nine subthemes emerged from the three themes. The themes were “Knowledge development”, “Critical thinking and Problem solving”, and “Communication and Collaboration”. Regarding “Knowledge development”, the students perceived case study analysis method as contributing toward deeper understanding of the course content thereby helping to reduce the gap between theory and practice especially during clinical placement. The “Enhanced critical thinking ability” on the other hand implies that case study analysis increased student's ability to think critically and aroused problem-solving interest in the learners. The “Communication and Collaboration” theme implies that case study analysis allowed students to share their views, opinions, and experiences with others and this enabled them to communicate better with others and to respect other's ideas which further enhanced their team building capacities. Conclusion: This method is effective for imparting professional knowledge and skills in undergraduate nursing education and it results in deeper level of learning and helps in the application of theoretical knowledge into clinical practice. It also broadened students’ perspectives, improved their cooperation capacity and their communication with each other. Finally, it enhanced student's judgment and critical thinking skills which is key for their success.

Introduction/Background

Recently, educators started to advocate for teaching modalities that not only transfer knowledge ( Shirani Bidabadi et al., 2016 ), but also foster critical and higher-order thinking and student-centered learning ( Wang & Farmer, 2008 ; Onweh & Akpan, 2014). Therefore, educators need to utilize proven teaching strategies to produce positive outcomes for learners (Onweh & Akpan, 2014). Informed by this view point, a teaching strategy is considered effective if it results in purposeful learning ( Centra, 1993 ; Sajjad, 2010 ) and allows the teacher to create situations that promote appropriate learning (Braskamp & Ory, 1994) to achieve the desired outcome ( Hodges et al., 2020 ). Since teaching methods impact student learning significantly, educators need to continuously test the effectives of their teaching strategies to ensure desired learning outcomes for their students given today's dynamic learning environments ( Farashahi & Tajeddin, 2018 ).

In this study, the researchers sought to study the effectiveness of case study analysis as an active, problem-based, student-centered, teacher-facilitated strategy in a baccalaureate-nursing program. This choice of teaching method is supported by the fact that nowadays, active teaching-learning is preferred in undergraduate programs because, they not only make students more powerful actors in professional life ( Bean, 2011 ; Yang et al., 2013 ), but they actually help learners to develop critical thinking skills ( Clarke, 2010 ). In fact, students who undergo such teaching approaches usually become more resourceful in integrating theory with practice, especially as they solve their case scenarios ( Chen et al., 2019 ; Farashahi & Tajeddin, 2018 ; Savery, 2019 ).

Review of Literature

As a pedagogical strategy, case studies allow the learner to integrate theory with real-life situations as they devise solutions to the carefully designed scenarios ( Farashahi & Tajeddin, 2018 ; Hermens & Clarke, 2009). Another important known observation is that case-study-based teaching exposes students to different cases, decision contexts and the environment to experience teamwork and interpersonal relations as “they learn by doing” thus benefiting from possibilities that traditional lectures hardly create ( Farashahi & Tajeddin, 2018 ; Garrison & Kanuka, 2004 ).

Another merit associated with case study method of teaching is the fact that students can apply and test their perspectives and knowledge in line with the tenets of Kolb et al.'s (2014) “experiential learning model”. This model advocates for the use of practical experience as the source of one's learning and development. Proponents of case study-based teaching note that unlike passive lectures where student input is limited, case studies allow them to draw from their own experience leading to the development of higher-order thinking and retention of knowledge.

Case scenario-based teaching also encourages learners to engage in reflective practice as they cooperate with others to solve the cases and share views during case scenario analysis and presentation ( MsDade, 1995 ).

This method results in “idea marriage” as learners articulate their views about the case scenario. This “idea marriage” phenomenon occurs through knowledge transfer from one situation to another as learners analyze scenarios, compare notes with each other, and develop multiple perspectives of the case scenario. In fact, recent evidence shows that authentic case-scenarios help learners to acquire problem solving and collaborative capabilities, including the ability to express their own views firmly and respectfully, which is vital for future success in both professional and personal lives ( Eronen et al., 2019 ; Yajima & Takahashi, 2017 ). In recognition of this higher education trend toward student-focused learning, educators are now increasingly expected to incorporate different strategies in their teaching.

This study demonstrated that when well implemented, educators can use active learning strategies like case study analysis to aid critical thinking, problem-solving, and collaborative capabilities in undergraduate students. This study is significant because the findings will help educators in the country and in the region to incorporate active learning strategies such as case study analysis to aid critical thinking, problem-solving, and collaborative capabilities in undergraduate students. Besides, most studies on the case study method in nursing literature mostly employ quantitative methods. The shortage of published research on the case study method in the Arabian Gulf region and the scanty use of qualitative methods further justify why we adopted the focus group method for inquiry.

A descriptive qualitative research design using focus group discussion method guided the study. The authors chose this method because it is not only inexpensive, flexible, stimulating but it is also known to help with information recall and results in rich data ( Matua et al., 2014 ; Streubert & Carpenter, 2011 ). Furthermore, as evidenced in the literature, the focus group discussion method is often used when there is a need to gain an in-depth understanding of poorly understood phenomena as the case in our study. The choice of this method is further supported by the scarcity of published research related to the use of case study analysis as a teaching strategy in the Middle Eastern region, thereby further justifying the need for an exploratory research approach for our study.

As a recommended strategy, the researchers generated data from information-rich purposively selected group of baccalaureate nursing students who had experienced both traditional lectures and cased-based teaching approaches. The focus group interviews allowed the study participants to express their experiences and perspectives in their own words. In addition, the investigators integrated participants’ self-reported experiences with their own observations and this enhanced the study findings ( Morgan & Bottorff, 2010 ; Nyumba et al., 2018 ; Parker & Tritter, 2006 ).

Eligibility Criteria

In order to be eligible to participate in the study, the participants had to:

• be a baccalaureate nursing student in College of Nursing, Sultan Qaboos University
• register for Maternity Nursing Course in 2017 and 2018.
• attend all the Case Study Analysis sessions in the courses before the study.
• show a willingness to participate in the study voluntarily and share their views freely.

The population included the undergraduate nursing students enrolled in the Maternal Health Nursing Course during the Academic Years 2017 and 2018.

The researcher used a purposive sampling technique to choose participants who were capable of actively participating and discussing their views in the focus group interviews. This technique enabled the researchers to select participants who could provide rich information and insights about case study analysis method as an effective teaching strategy. The final study sample included baccalaureate nursing students who agreed to participate in the study by signing a written informed consent. In total, twenty-two (22) students participated in the study, through five focus groups, with each focus group comprising between four and six students. The number of participants was determined by the stage at which data saturation was reached. The point of data saturation is when no new information emerges from additional participants interviewed ( Saunders et al., 2018 ).Focus group interviews were stopped once data saturation was achieved. Qualitative research design with focus group discussion allowed the researchers to generate data from information-rich purposively selected group of baccalaureate nursing students who had experienced both traditional lectures and case-based teaching approaches. The focus group interviews allowed the study participants to express their perspectives in their own words. In addition, the investigators enhanced the study findings by integrating participants’ self-reported experiences with the researchers’ own observations and notes during the study.

The study took place at College of Nursing; Sultan Qaboos University, Oman's premier public university, in Muscat. This is the only setting chosen for the study. The participants are the students who were enrolled in Maternal Health Nursing course during 2017 and 2018. The interviews occurred in the teaching rooms after official class hours. Students who did not participate in the study learnt the course content using the traditional lecture based method.

Ethical Considerations

Permission to conduct the study was granted by the College Research and Ethics Committee (XXXX). Prior to the interviews, each participant was informed about the purpose, benefits as well as the risks associated with participating in the study and clarifications were made by the principal researcher. After completing this ethical requirement, each student who accepted to participate in the study proceeded to sign an informed consent form signifying that their participation in the focus group interview was entirely voluntary and based on free will.

The anonymity of study participants and confidentiality of their data was upheld throughout the focus group interviews and during data analysis. To enhance confidentiality and anonymity of the data, each participant was assigned a unique code number which was used throughout data analysis and reporting phases. To further assure the confidentiality of the research data and anonymity of the participants, all research-related data were kept safe, under lock and key and through digital password protection, with unhindered access only available to the research team.

Research Intervention

In Fall 2017 and Spring 2018 semesters, as a method of teaching Maternal Health Nursing course, all students participated in two group-based case study analysis exercises which were implemented in the 7 th and 13 th weeks. This was done after the students were introduced to the case study method using a sample case study prior to the study. The instructor explained to the students how to solve the sample problem, including how to accomplish the role-specific competencies in the courses through case study analysis. In both weeks, each group consisting of six to seven students was assigned to different case scenarios to analyze and work on, after which they presented their collective solution to the case scenarios to the larger class of 40 students. The case scenarios used in both weeks were peer-reviewed by the researchers prior to the study.

Pilot Study

A group of three students participated as a pilot group for the study. However, the students who participated in the pilot study were not included in the final study as is general the principle with qualitative inquiry because of possible prior exposure “contamination”. The purpose of piloting was to gather data to provide guidance for a substantive study focusing on testing the data collection procedure, the interview process including the sequence and number of questions and probes and recording equipment efficacy. After the pilot phase, the lessons learned from the pilot were incorporated to ensure smooth operations during the actual focus group interview ( Malmqvist et al., 2019 .

Data Collection

The focus group interviews took place after the target population was exposed to case study analysis method in Maternal Health Nursing course during the Fall 2017 and Spring 2018 semesters. Before data collection began, the research team pilot tested the focus group interview guide to ensure that all the guide questions were clear and well understood by study participants.

In total, five (5) focus groups participated in the study, with each group comprising between four and six students. The focus group interviews lasted between 60 and 90 min. In addition to the interview guide questions, participants’ responses to unanswered questions were elicited using prompts to facilitate information flow whenever required. As a best practice, all the interviews were audio-recorded in addition to extensive field notes taken by one of the researchers. The focus group interviews continued until data saturation occurred in all the five (5) focus groups.

Credibility

In this study, participant's descriptions were digitally audio recorded to ensure that no information was lost. In order to ensure that the results are accurate, verbatim transcriptions of the audio recordings were done supported by interview notes. Furthermore, interpretations of the researcher were verified and supported with existing literature with oversight from the research team.

Transferability

The researcher provided a detailed description about the study settings, participants, sampling technique, and the process of data collection and analyses. The researcher used verbatim quotes from various participants to aid the transferability of the results.

Dependability

The researcher ensured that the research process is clearly documented, traceable, and logical to achieve dependability of the research findings. Furthermore, the researcher transparently described the research steps, procedures and process from the start of the research project to the reporting of the findings.

Confirmability

In this study, confirmability of the study findings was achieved through the researcher's efforts to make the findings credible, dependable, and transferable.

Data Analysis

Data were analyzed manually after the lead researcher integrated the verbatim transcriptions with the extensive field notes to form the final data set. Data were analyzed thematically under three thematic areas of a) knowledge development; b) critical thinking and problem solving; and (c) communication and collaboration, which are linked to the study objectives. The researchers used the Six (6) steps approach to conduct a trustworthy thematic analysis: (1) familiarization with the research data, (2) generating initial codes, (3) searching for themes, (4) reviewing the themes, (5) defining and naming themes, (6) writing the report ( Nowell et al., 2017 ).

The analysis process started with each team member individually reading and re-reading the transcripts several times and then identifying meaning units linked to the three thematic areas. The co-authors then discussed in-depth the various meaning units linked to the thematic statements until consensus was reached and final themes emerged based on the study objectives.

A total of 22 undergraduate third-year baccalaureate nursing students who were enrolled in the Maternal Health Nursing Course during the Academic Years 2017 and 2018 participated in the study, through five focus groups, with each group comprising four to six students. Of these, 59% were females and 41% were males. In total, nine subthemes emerged from the three themes. Under knowledge development, emerged the subthemes, “ deepened understanding of content ; “ reduced gap between theory and practice” and “ improved test-taking ability ”. While under Critical thinking and problem solving, emerged the subthemes, “ enhanced critical thinking ability ” and “ heightened curiosity”. The third thematic area of communication and collaboration yielded, “ improved communication ability ”; “ enhanced team-building capacity ”; “ effective collaboration” and “ improved presentation skills ”, details of which are summarized in Table 1 .

Table 1.

Objective Linked Themes and Student Perceptions of Outcome Case Study Analysis.

Theme 1: Knowledge Development

In terms of knowledge development, students expressed delight at the inclusion of case study analysis as a method during their regular theory class. The first subtheme related to knowledge development that supports the adoption of the case study approach is its perceived benefit of ‘ deepened understanding of content ’ by the students as vividly described by this participant:

“ I was able to perform well in the in-course exams as this teaching method enhanced my understanding of the content rather than memorizing ” (FGD#3).

The second subtheme related to knowledge development was informed by participants’ observation that teaching them using case study analysis method ‘ reduced the gap between theory and practice’. This participant's claim stem from the realization that, a case study scenario his group analyzed in the previous week helped him and his colleagues to competently deal with a similar situation during clinical placement the following week, as articulated below:

“ You see when I was caring for mothers in antenatal unit, I could understand the condition better and could plan her care well because me and my group already analyzed a similar situation in class last week which the teacher gave us, this made our work easier in the ward”. (FGD#7).

Another student added that:

“ It was useful as what is taught in the theory class could be applied to the clinical cases.”

This ‘theory-practice’ connection was particularly useful in helping students to better understand how to manage patients with different health conditions. Interestingly, the students reported that they were more likely to link a correct nursing care plan to patients whose conditions were close to the case study scenarios they had already studied in class as herein affirmed:

“ …when in the hospital I felt I could perceive the treatment modality and plan for [a particular] nursing care well when I [had] discussed with my team members and referred the textbook resource while performing case study discussion”. (FGD#17).

In a similar way, another student added:

“…I could relate with the condition I have seen in the clinical area. So this has given me a chance to recall the condition and relate the theory to practice”. (FGD#2) .

The other subtheme closely related to case study scenarios as helping to deepen participant's understanding of the course content, is the notion that this teaching strategy also resulted in ‘ improved test taking-ability’ as this participant's verbatim statement confirms:

“ I could answer the questions related to the cases discussed [much] better during in-course exams. Also [the case scenarios] helped me a great deal to critically think and answer my exam papers” (FGD#11).

Theme 2: Critical Thinking and Problem Solving

In this subtheme, students found the case study analysis as an excellent method to learn disease conditions in the two courses. This perceived success with the case study approach is associated with the method's ability to ‘ enhance students’ critical thinking ability’ as this student declares:

“ This method of teaching increased my ability to think critically as the cases are the situations, where we need to think to solve the situation”. (FGD#5)

This enhanced critical thinking ability attributed to case study scenario analysis was also manifested during patient care where students felt it allowed them to experience a “ flow of patient care” leading to better patient management planning as would typically occur during case scenario analysis. In support of this finding, a participant mentioned that:

“ …I could easily connect the flow of patient care provided and hence was able to plan for [his] management as often required during case study discussion” (FGD#12)

Another subtheme linked with this theme is the “ heightened curiosity” associated with the case scenario discussions. It was clear from the findings that the cases aroused curiosity in the mind of the students. This heightened interest meant that during class discussion, baccalaureate nursing students became active learners, eager to discover the next set of action as herein affirmed:

“… from the beginning of discussion with the group, I was eager to find the answer to questions presented and wanted to learn the best way for patient management” (FGD#14)

Theme 3: Communication and Collaboration

In terms of its impact on student communication, the subtheme revealed that case study analysis resulted in “ improved communication ability” among the nursing students . This enhanced ability of students to exchange ideas with each other may be attributed to the close interaction required to discuss and solve their assigned case scenarios as described by the participant below:

“ as [case study analysis] was done in the way of group discussion, I felt me and my friends communicated more within the group as we discussed our condition. We also learnt from each other, and we became better with time.” (FGD#21).

The next subtheme further augments the notion that case study analysis activities helped to “ enhance team-building capacity” of students as this participant affirmatively narrates:

“ students have the opportunity to meet face to face to share their views, opinion, and their experience, as this build on the way they can communicate with each other and respect each other's opinions and enhance team-building”. (FGD#19).

Another subtheme revealed from the findings show that the small groups in which the case analysis occurs allowed the learners to have deeper and more focused conversations with one another, resulting in “ an effective collaboration between students” as herein declared:

“ We could collaborate effectively as we further went into a deep conversation on the case to solve”. (FGD#16).

Similarly, another student noted that:

“ …discussion of case scenarios helped us to prepare better for clinical postings and simulation lab experience” (FGD#5) .

A fourth subtheme related to communication found that students also identified that case study analysis resulted in “ improved presentation skills”. This is attributed in part to the preparation students have to go through as part of their routine case study discussion activities, which include organizing their presentations and justifying and integrating their ideas. Besides readying themselves for case presentations, the advice, motivation, and encouragement such students receive from their faculty members and colleagues makes them better presenters as confirmed below:

“ …teachers gave us enough time to prepare, hence I was able to present in front of the class regarding the finding from our group.” (FGD#16).

In this study, the researches explored learner's perspectives on how one of the active teaching strategies, case study analysis method impacted their knowledge development, critical thinking, and problem solving as well as communication and collaboration ability.

Knowledge Development

In terms of knowledge development, the nursing students perceived case study analysis as contributing toward: (a) deeper understanding of content, (b) reducing gap between theory and practice, and (c) improving test-taking ability. Deeper learning” implies better grasping and retention of course content. It may also imply a deeper understanding of course content combined with learner's ability to apply that understanding to new problems including grasping core competencies expected in future practice situations (Rickles et al., 2019; Rittle-Johnson et al., 2020 ). Deeper learning therefore occurs due to the disequilibrium created by the case scenario, which is usually different from what the learner already knows ( Hattie, 2017 ). Hence, by “forcing” students to compare and discuss various options in the quest to solve the “imbalance” embedded in case scenarios, students dig deeper in their current understanding of a given content including its application to the broader context ( Manalo, 2019 ). This movement to a deeper level of understanding arises from carefully crafted case scenarios that instructors use to stimulate learning in the desired area (Nottingham, 2017; Rittle-Johnson et al., 2020 ). The present study demonstrated that indeed such carefully crafted case study scenarios did encourage students to engage more deeply with course content. This finding supports the call by educators to adopt case study as an effective strategy.

Another finding that case study analysis method helps in “ reducing the gap between theory and practice ” implies that the method helps students to maintain a proper balance between theory and practice, where they can see how theoretical knowledge has direct practical application in the clinical area. Ajani and Moez (2011) argue that to enable students to link theory and practice effectively, nurse educators should introduce them to different aspects of knowledge and practice as with case study analysis. This dual exposure ensures that students are proficient in theory and clinical skills. This finding further amplifies the call for educators to adequately prepare students to match the demands and realities of modern clinical environments ( Hickey, 2010 ). This expectation can be met by ensuring that student's knowledge and skills that are congruent with hospital requirements ( Factor et al., 2017 ) through adoption of case study analysis method which allows integration of clinical knowledge in classroom discussion on regular basis.

The third finding, related to “improved test taking ability”, implies that case study analysis helped them to perform better in their examination, noting that their experience of going through case scenario analysis helped them to answer similar cases discussed in class much better during examinations. Martinez-Rodrigo et al. (2017) report similar findings in a study conducted among Spanish electrical engineering students who were introduced to problem-based cooperative learning strategies, which is similar to case study analysis method. Analysis of student's results showed that their grades and pass rates increased considerably compared to previous years where traditional lecture-based method was used. Similar results were reported by Bonney (2015) in an even earlier study conducted among biology students in Kings Borough community college students, in New York, United States. When student's performance in examination questions covered by case studies was compared with class-room discussions, and text-book reading, case study analysis approach was significantly more effective compared to traditional methods in aiding students’ performance in their examinations. This finding therefore further demonstrates that case study analysis method indeed improves student's test taking ability.

Critical Thinking and Problem Solving

In terms of critical thinking and problem-solving ability, the use of case study analysis resulted in two subthemes: (a) enhanced critical thinking ability and (b) heightened learner curiosity. The “ enhanced critical thinking ability” implies that case analysis increased student's ability to think critically as they navigated through the case scenarios. This observation agrees with the findings of an earlier questionnaire-based study conducted among 145 undergraduate business administration students at Chittagong University, Bangladesh, that showed 81% of respondents agree that case study analysis develops critical thinking ability and enables students to do better problem analysis ( Muhiuddin & Jahan, 2006 ). This observation agrees with the findings of an earlier study conducted among 145 undergraduate business administration students at Chittagong University, Bangladesh. The study showed that 81% of respondents agreed that case study analysis facilitated the development of critical thinking ability in the learners and enabled the students to perform better with problem analysis ( Muhiuddin & Jahan, 2006 ).

More recently, Suwono et al. (2017) found similar results in a quasi-experimental research conducted at a Malaysian university. The research findings showed that there was a significant difference in biological literacy and critical thinking skills between the students taught using socio-biological case-based learning and those taught using traditional lecture-based learning. The researchers concluded that case-based learning enhanced the biological literacy and critical thinking skills of the students. The current study adds to the existing pedagogical knowledge base that case study methodology can indeed help to deepen learner's critical thinking and problem solving ability.

The second subtheme related to “ heightened learner curiosity” seems to suggest that the case studies aroused problem-solving interest in learners. This observation agrees with two earlier studies by Tiwari et al. (2006) and Flanagan and McCausland (2007) who both reported that most students enjoyed case-based teaching. The authors add that the case study method also improved student's clinical reasoning, diagnostic interpretation of patient information as well as their ability to think logically when presented a challenge in the classroom and in the clinical area. Jackson and Ward (2012) similarly reported that first year engineering undergraduates experienced enhanced student motivation. The findings also revealed that the students venturing self-efficacy increased much like their awareness of the importance of key aspects of the course for their future careers. The authors conclude that the case-based method appears to motivate students to autonomously gather, analyze and present data to solve a given case. The researchers observed enhanced personal and collaborative efforts among the learners, including improved communication ability. Further still, learners were more willing to challenge conventional wisdom, and showed higher “softer” skills after exposure to case analysis based teaching method. These findings like that of the current study indicate that teaching using case based analysis approach indeed motivates students to engage more in their learning, there by resulting in deeper learning.

Communication and Collaboration

Case study analysis is also perceived to result in: (a) improved communication ability; (b) enhanced team -building capacity, (c) effective collaboration ability, and (d) enhanced presentation skills. The “ improved communication ability ” manifested in learners being better able to exchange ideas with peers, communicating their views more clearly and collaborating more effectively with their colleagues to address any challenges that arise. Fini et al. (2018) report comparable results in a study involving engineering students who were subjected to case scenario brainstorming activities about sustainability concepts and their implications in transportation engineering in selected courses. The results show that this intervention significantly improved student's communication skills besides their higher-order cognitive, self-efficacy and teamwork skills. The researchers concluded that involving students in brainstorming activities related to problem identification including their practical implications, is an effective teaching strategy. Similarly, a Korean study by Park and Choi (2018) that sought to analyze the effects of case-based communication training involving 112 sophomore nursing students concluded that case-based training program improved the students’ critical thinking ability and communication competence. This finding seems to support further the use of case based teaching as an effective teaching-learning strategy.

The “ enhanced team-building capacity” arose from the opportunity students had in sharing their views, opinions, and experiences where they learned to communicate with each other and respect each other's ideas which further enhance team building. Fini et al. (2018) similarly noted that increased teamwork levels were seen among their study respondents when the researchers subjected engineering students to case scenario based-brainstorming activities as occurs with case study analysis teaching. Likewise, Lairamore et al. (2013) report similar results in their study that showed that case study analysis method increased team work ability and readiness among students from five health disciplines in a US-based study.

The finding that case study analysis teaching method resulted in “ effective collaboration ability” among students manifested as students entered into deep conversation as they solved the case scenarios. Rezaee and Mosalanejad (2015) assert that such innovative learning strategies result in noticeable educational outcomes, such as greater satisfaction with and enjoyment of the learning process ( Wellmon et al., 2012 ). Further, positive attitudes toward learning and collaboration have been noted leading to deeper learning as students prepare for case discussions ( Rezaee & Mosalanejad, 2015 ). This results show that case study analysis can be utilized by educators to foster professional collaboration among their learners, which is one of the key expectations of new graduates today.

The finding associated with “improved presentation skills” is consistent with the results of a descriptive study in Saudi Arabia that compared case study and traditional lectures in the teaching of physiology course to undergraduate nursing students. The researchers found that case-based teaching improved student’ overall knowledge and performance in the course including facilitating the acquisition of skills compared to traditional lectures ( Majeed, 2014 ). Noblitt et al. (2010) report similar findings in their study that compares traditional presentation approach with the case study method for developing and improving student's oral communication skills. This finding extends our understanding that case study method improves learners’ presentation skills.

The study was limited to level third year nursing students belonging to only one college and the sample size, which might limit the transferability of the study findings to other settings.

Implications for Practice

These study findings add to the existing body of knowledge that places case study based teaching as a tested method that promotes perception learning where students’ senses are engaged as a result of the real-life and authentic clinical scenarios ( Malesela, 2009 ), resulting in deeper learning and achievement of long-lasting knowledge ( Fiscus, 2018 ). The students reported that case scenario discussions broadened their perspectives, improved their cooperation capacity and communication with each other. This teaching method, in turn, offers students an opportunity to enhance their judgment and critical thinking skills by applying theory into practice.

These skills are critically important because nurses need to have the necessary knowledge and skills to plan high quality care for their patients to achieve a speedy recovery. In order to attain this educational goal, nurse educators have to prepare students through different student- centered strategies. The findings of our study appear to show that when appropriately used, case-based teaching results in acquisition of disciplinary knowledge manifested by deepened understanding of course content, as well as reducing the gap between theory and practice and enhancing learner's test-taking-ability. The study also showed that cased based teaching enhanced learner's critical thinking ability and curiosity to seek and acquire a deeper knowledge. Finally, the study results indicate that case study analysis results in improved communication and enhanced team-building capacity, collaborative ability and improved oral communication and presentation skills. The study findings and related evidence from literature show that case study analysis is well- suited approach for imparting knowledge and skills in baccalaureate nursing education.

This study evaluated the usefulness of Case Study Analysis as a teaching strategy. We found that this method of teaching helps encourages deeper learning among students. For instructors, it provides the opportunity to tailor learning experiences for students to undertake in depth study in order to stimulate deeper understanding of the desired content. The researchers conclude that if the cases are carefully selected according to the level of the students, and are written realistically and creatively and the group discussions keep students well engaged, case study analysis method is more effective than other traditional lecture methods in facilitating deeper and transferable learning/skills acquisition in undergraduate courses.

Conflict of Interest: The authors declare no conflict of interest.

ORCID iD: Judie Arulappan https://orcid.org/0000-0003-2788-2755

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What Is a Case Study?

Weighing the pros and cons of this method of research

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Cara Lustik is a fact-checker and copywriter.

Verywell / Colleen Tighe

• Pros and Cons

What Types of Case Studies Are Out There?

Where do you find data for a case study, how do i write a psychology case study.

A case study is an in-depth study of one person, group, or event. In a case study, nearly every aspect of the subject's life and history is analyzed to seek patterns and causes of behavior. Case studies can be used in many different fields, including psychology, medicine, education, anthropology, political science, and social work.

The point of a case study is to learn as much as possible about an individual or group so that the information can be generalized to many others. Unfortunately, case studies tend to be highly subjective, and it is sometimes difficult to generalize results to a larger population.

While case studies focus on a single individual or group, they follow a format similar to other types of psychology writing. If you are writing a case study, we got you—here are some rules of APA format to reference.  

At a Glance

A case study, or an in-depth study of a person, group, or event, can be a useful research tool when used wisely. In many cases, case studies are best used in situations where it would be difficult or impossible for you to conduct an experiment. They are helpful for looking at unique situations and allow researchers to gather a lot of˜ information about a specific individual or group of people. However, it's important to be cautious of any bias we draw from them as they are highly subjective.

What Are the Benefits and Limitations of Case Studies?

A case study can have its strengths and weaknesses. Researchers must consider these pros and cons before deciding if this type of study is appropriate for their needs.

One of the greatest advantages of a case study is that it allows researchers to investigate things that are often difficult or impossible to replicate in a lab. Some other benefits of a case study:

• Allows researchers to capture information on the 'how,' 'what,' and 'why,' of something that's implemented
• Gives researchers the chance to collect information on why one strategy might be chosen over another
• Permits researchers to develop hypotheses that can be explored in experimental research

On the other hand, a case study can have some drawbacks:

• It cannot necessarily be generalized to the larger population
• Cannot demonstrate cause and effect
• It may not be scientifically rigorous
• It can lead to bias

Researchers may choose to perform a case study if they want to explore a unique or recently discovered phenomenon. Through their insights, researchers develop additional ideas and study questions that might be explored in future studies.

It's important to remember that the insights from case studies cannot be used to determine cause-and-effect relationships between variables. However, case studies may be used to develop hypotheses that can then be addressed in experimental research.

Case Study Examples

There have been a number of notable case studies in the history of psychology. Much of  Freud's work and theories were developed through individual case studies. Some great examples of case studies in psychology include:

• Anna O : Anna O. was a pseudonym of a woman named Bertha Pappenheim, a patient of a physician named Josef Breuer. While she was never a patient of Freud's, Freud and Breuer discussed her case extensively. The woman was experiencing symptoms of a condition that was then known as hysteria and found that talking about her problems helped relieve her symptoms. Her case played an important part in the development of talk therapy as an approach to mental health treatment.
• Phineas Gage : Phineas Gage was a railroad employee who experienced a terrible accident in which an explosion sent a metal rod through his skull, damaging important portions of his brain. Gage recovered from his accident but was left with serious changes in both personality and behavior.
• Genie : Genie was a young girl subjected to horrific abuse and isolation. The case study of Genie allowed researchers to study whether language learning was possible, even after missing critical periods for language development. Her case also served as an example of how scientific research may interfere with treatment and lead to further abuse of vulnerable individuals.

Such cases demonstrate how case research can be used to study things that researchers could not replicate in experimental settings. In Genie's case, her horrific abuse denied her the opportunity to learn a language at critical points in her development.

This is clearly not something researchers could ethically replicate, but conducting a case study on Genie allowed researchers to study phenomena that are otherwise impossible to reproduce.

There are a few different types of case studies that psychologists and other researchers might use:

• Collective case studies : These involve studying a group of individuals. Researchers might study a group of people in a certain setting or look at an entire community. For example, psychologists might explore how access to resources in a community has affected the collective mental well-being of those who live there.
• Descriptive case studies : These involve starting with a descriptive theory. The subjects are then observed, and the information gathered is compared to the pre-existing theory.
• Explanatory case studies : These   are often used to do causal investigations. In other words, researchers are interested in looking at factors that may have caused certain things to occur.
• Exploratory case studies : These are sometimes used as a prelude to further, more in-depth research. This allows researchers to gather more information before developing their research questions and hypotheses .
• Instrumental case studies : These occur when the individual or group allows researchers to understand more than what is initially obvious to observers.
• Intrinsic case studies : This type of case study is when the researcher has a personal interest in the case. Jean Piaget's observations of his own children are good examples of how an intrinsic case study can contribute to the development of a psychological theory.

The three main case study types often used are intrinsic, instrumental, and collective. Intrinsic case studies are useful for learning about unique cases. Instrumental case studies help look at an individual to learn more about a broader issue. A collective case study can be useful for looking at several cases simultaneously.

The type of case study that psychology researchers use depends on the unique characteristics of the situation and the case itself.

There are a number of different sources and methods that researchers can use to gather information about an individual or group. Six major sources that have been identified by researchers are:

• Archival records : Census records, survey records, and name lists are examples of archival records.
• Direct observation : This strategy involves observing the subject, often in a natural setting . While an individual observer is sometimes used, it is more common to utilize a group of observers.
• Documents : Letters, newspaper articles, administrative records, etc., are the types of documents often used as sources.
• Interviews : Interviews are one of the most important methods for gathering information in case studies. An interview can involve structured survey questions or more open-ended questions.
• Participant observation : When the researcher serves as a participant in events and observes the actions and outcomes, it is called participant observation.
• Physical artifacts : Tools, objects, instruments, and other artifacts are often observed during a direct observation of the subject.

If you have been directed to write a case study for a psychology course, be sure to check with your instructor for any specific guidelines you need to follow. If you are writing your case study for a professional publication, check with the publisher for their specific guidelines for submitting a case study.

Here is a general outline of what should be included in a case study.

Section 1: A Case History

This section will have the following structure and content:

Background information : The first section of your paper will present your client's background. Include factors such as age, gender, work, health status, family mental health history, family and social relationships, drug and alcohol history, life difficulties, goals, and coping skills and weaknesses.

Description of the presenting problem : In the next section of your case study, you will describe the problem or symptoms that the client presented with.

Describe any physical, emotional, or sensory symptoms reported by the client. Thoughts, feelings, and perceptions related to the symptoms should also be noted. Any screening or diagnostic assessments that are used should also be described in detail and all scores reported.

Your diagnosis : Provide your diagnosis and give the appropriate Diagnostic and Statistical Manual code. Explain how you reached your diagnosis, how the client's symptoms fit the diagnostic criteria for the disorder(s), or any possible difficulties in reaching a diagnosis.

Section 2: Treatment Plan

This portion of the paper will address the chosen treatment for the condition. This might also include the theoretical basis for the chosen treatment or any other evidence that might exist to support why this approach was chosen.

• Cognitive behavioral approach : Explain how a cognitive behavioral therapist would approach treatment. Offer background information on cognitive behavioral therapy and describe the treatment sessions, client response, and outcome of this type of treatment. Make note of any difficulties or successes encountered by your client during treatment.
• Humanistic approach : Describe a humanistic approach that could be used to treat your client, such as client-centered therapy . Provide information on the type of treatment you chose, the client's reaction to the treatment, and the end result of this approach. Explain why the treatment was successful or unsuccessful.
• Psychoanalytic approach : Describe how a psychoanalytic therapist would view the client's problem. Provide some background on the psychoanalytic approach and cite relevant references. Explain how psychoanalytic therapy would be used to treat the client, how the client would respond to therapy, and the effectiveness of this treatment approach.
• Pharmacological approach : If treatment primarily involves the use of medications, explain which medications were used and why. Provide background on the effectiveness of these medications and how monotherapy may compare with an approach that combines medications with therapy or other treatments.

This section of a case study should also include information about the treatment goals, process, and outcomes.

When you are writing a case study, you should also include a section where you discuss the case study itself, including the strengths and limitiations of the study. You should note how the findings of your case study might support previous research. 

In your discussion section, you should also describe some of the implications of your case study. What ideas or findings might require further exploration? How might researchers go about exploring some of these questions in additional studies?

Need More Tips?

Here are a few additional pointers to keep in mind when formatting your case study:

• Never refer to the subject of your case study as "the client." Instead, use their name or a pseudonym.
• Read examples of case studies to gain an idea about the style and format.
• Remember to use APA format when citing references .

Crowe S, Cresswell K, Robertson A, Huby G, Avery A, Sheikh A. The case study approach .  BMC Med Res Methodol . 2011;11:100.

Crowe S, Cresswell K, Robertson A, Huby G, Avery A, Sheikh A. The case study approach . BMC Med Res Methodol . 2011 Jun 27;11:100. doi:10.1186/1471-2288-11-100

Gagnon, Yves-Chantal.  The Case Study as Research Method: A Practical Handbook . Canada, Chicago Review Press Incorporated DBA Independent Pub Group, 2010.

Yin, Robert K. Case Study Research and Applications: Design and Methods . United States, SAGE Publications, 2017.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Student Case Study

Delving into student case studies offers invaluable insights into educational methodologies and student behaviors. This guide, complete with detailed case study examples , is designed to help educators, researchers, and students understand the nuances of creating and analyzing case studies in an educational context. By exploring various case study examples, you will gain the tools and knowledge necessary to effectively interpret and apply these studies, enhancing both teaching and learning experiences in diverse academic settings.

What is a Student Case Study? – Meaning A student case study is an in-depth analysis of a student or a group of students to understand various educational, psychological, or social aspects. It involves collecting detailed information through observations, interviews, and reviewing records, to form a comprehensive picture. The goal of a case study analysis is to unravel the complexities of real-life situations that students encounter, making it a valuable tool in educational research. In a case study summary, key findings are presented, often leading to actionable insights. Educators and researchers use these studies to develop strategies for improving learning environments. Additionally, a case study essay allows students to demonstrate their understanding by discussing the analysis and implications of the case study, fostering critical thinking and analytical skills.

Download Student Case Study Bundle

Schools especially those that offers degree in medicine, law, public policy and public health teaches students to learn how to conduct a case study. Some students say they love case studies . For what reason? Case studies offer real world challenges. They help in preparing the students how to deal with their future careers. They are considered to be the vehicle for theories and concepts that enables you to be good at giving detailed discussions and even debates. Case studies are useful not just in the field of education, but also in adhering to the arising issues in business, politics and other organizations.

Student Case Study Format

Case Study Title : Clear and descriptive title reflecting the focus of the case study. Student’s Name : Name of the student the case study is about. Prepared by : Name of the person or group preparing the case study. School Name : Name of the school or educational institution. Date : Date of completion or submission.

Introduction

Background Information : Briefly describe the student’s background, including age, grade level, and relevant personal or academic history. Purpose of the Case Study : State the reason for conducting this case study, such as understanding a particular behavior, learning difficulty, or achievement.

Case Description

Situation or Challenge : Detail the specific situation, challenge, or condition that the student is facing. Observations and Evidence : Include observations from teachers, parents, or the students themselves, along with any relevant academic or behavioral records.

Problem Analysis : Analyze the situation or challenge, identifying potential causes or contributing factors. Impact on Learning : Discuss how the situation affects the student’s learning or behavior in school.

Intervention Strategies

Action Taken : Describe any interventions or strategies implemented to address the situation. This could include educational plans, counseling, or specific teaching strategies. Results of Intervention : Detail the outcome of these interventions, including any changes in the student’s behavior or academic performance.

Conclusion and Recommendations

Summary of Findings : Summarize the key insights gained from the case study. Recommendations : Offer suggestions for future actions or strategies to further support the student. This might include recommendations for teachers, parents, or the student themselves.

Best Example of Student Case Study

Overcoming Reading Challenges: A Case Study of Emily Clark, Grade 3 Prepared by: Laura Simmons, Special Education Teacher Sunset Elementary School Date: May 12, 2024   Emily Clark, an 8-year-old student in the third grade at Sunset Elementary School, has been facing significant challenges with reading and comprehension since the first grade. Known for her enthusiasm and creativity, Emily’s struggles with reading tasks have been persistent and noticeable. The primary purpose of this case study is to analyze Emily’s reading difficulties, implement targeted interventions, and assess their effectiveness.   Emily exhibits difficulty in decoding words, reading fluently, and understanding text, as observed by her teachers since first grade. Her reluctance to read aloud and frustration with reading tasks have been consistently noted. Assessments indicate that her reading level is significantly below the expected standard for her grade. Parental feedback has also highlighted Emily’s struggles with reading-related homework.   Analysis of Emily’s situation suggests a potential learning disability in reading, possibly dyslexia. This is evidenced by her consistent difficulty with word recognition and comprehension. These challenges have impacted not only her reading skills but also her confidence and participation in class activities, especially those involving reading.   To address these challenges, an individualized education plan (IEP) was developed. This included specialized reading instruction focusing on phonemic awareness and decoding skills, multisensory learning approaches, and regular sessions with a reading specialist. Over a period of six months, Emily demonstrated significant improvements. She engaged more confidently in reading activities, and her reading assessment scores showed notable progress.   In conclusion, the intervention strategies implemented for Emily have been effective. Her case highlights the importance of early identification and the implementation of tailored educational strategies for students with similar challenges. It is recommended that Emily continues to receive specialized instruction and regular monitoring. Adjustments to her IEP should be made as necessary to ensure ongoing progress. Additionally, fostering a positive reading environment at home is also recommended.

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Case Study Definition

A case study is defined as a research methodology that allows you to conduct an intensive study about a particular person, group of people, community, or some unit in which the researcher could provide an in-depth data in relation to the variables. Case studies can examine a phenomena in the natural setting. This increases your ability to understand why the subjects act such. You may be able to describe how this method allows every researcher to take a specific topic to narrow it down making it into a manageable research question. The researcher gain an in-depth understanding about the subject matter through collecting qualitative research and quantitative research datasets about the phenomenon.

Benefits and Limitations of Case Studies

If a researcher is interested to study about a phenomenon, he or she will be assigned to a single-case study that will allow him or her to gain an understanding about the phenomenon. Multiple-case study would allow a researcher to understand the case as a group through comparing them based on the embedded similarities and differences. However, the volume of data in case studies will be difficult to organize and the process of analysis and strategies needs to be carefully decided upon. Reporting of findings could also be challenging at times especially when you are ought to follow for word limits.

Example of Case Study

Nurses’ pediatric pain management practices.

One of the authors of this paper (AT) has used a case study approach to explore nurses’ pediatric pain management practices. This involved collecting several datasets:

Observational data to gain a picture about actual pain management practices.

Questionnaire data about nurses’ knowledge about pediatric pain management practices and how well they felt they managed pain in children.

Questionnaire data about how critical nurses perceived pain management tasks to be.

These datasets were analyzed separately and then compared and demonstrated that nurses’ level of theoretical did not impact on the quality of their pain management practices. Nor did individual nurse’s perceptions of how critical a task was effect the likelihood of them carrying out this task in practice. There was also a difference in self-reported and observed practices; actual (observed) practices did not confirm to best practice guidelines, whereas self-reported practices tended to.

How do you Write a Case Study for Students?

1. choose an interesting and relevant topic:.

Select a topic that is relevant to your course and interesting to your audience. It should be specific and focused, allowing for in-depth analysis.

2. Conduct Thorough Research :

Gather information from reputable sources such as books, scholarly articles, interviews, and reliable websites. Ensure you have a good understanding of the topic before proceeding.

3. Identify the Problem or Research Question:

Clearly define the problem or research question your case study aims to address. Be specific about the issues you want to explore and analyze.

4. Introduce the Case:

Provide background information about the subject, including relevant historical, social, or organizational context. Explain why the case is important and what makes it unique.

5. Describe the Methods Used:

Explain the methods you used to collect data. This could include interviews, surveys, observations, or analysis of existing documents. Justify your choice of methods.

6. Present the Findings:

Present the data and findings in a clear and organized manner. Use charts, graphs, and tables if applicable. Include direct quotes from interviews or other sources to support your points.

7. Analytical Interpretation:

Analyze the data and discuss the patterns, trends, or relationships you observed. Relate your findings back to the research question. Use relevant theories or concepts to support your analysis.

8. Discuss Limitations:

Acknowledge any limitations in your study, such as constraints in data collection or research methods. Addressing limitations shows a critical awareness of your study’s scope.

9. Propose Solutions or Recommendations:

If your case study revolves around a problem, propose practical solutions or recommendations based on your analysis. Support your suggestions with evidence from your findings.

10. Write a Conclusion:

Summarize the key points of your case study. Restate the importance of the topic and your findings. Discuss the implications of your study for the broader field.

What are the objectives of a Student Case Study?

1. learning and understanding:.

• To deepen students’ understanding of a particular concept, theory, or topic within their field of study.
• To provide real-world context and practical applications for theoretical knowledge.

2. Problem-Solving Skills:

• To enhance students’ critical thinking and problem-solving abilities by analyzing complex issues or scenarios.
• To encourage students to apply their knowledge to real-life situations and develop solutions.

3. Research and Analysis:

• To develop research skills, including data collection, data analysis , and the ability to draw meaningful conclusions from information.
• To improve analytical skills in interpreting data and making evidence-based decisions.

4. Communication Skills:

• To improve written and oral communication skills by requiring students to present their findings in a clear, organized, and coherent manner.
• To enhance the ability to communicate complex ideas effectively to both academic and non-academic audiences.

5. Ethical Considerations:

To promote awareness of ethical issues related to research and decision-making, such as participant rights, privacy, and responsible conduct.

6. Interdisciplinary Learning:

To encourage cross-disciplinary or interdisciplinary thinking, allowing students to apply knowledge from multiple areas to address a problem or issue.

7. Professional Development:

• To prepare students for future careers by exposing them to real-world situations and challenges they may encounter in their chosen profession.
• To develop professional skills, such as teamwork, time management, and project management.

8. Reflection and Self-Assessment:

• To prompt students to reflect on their learning and evaluate their strengths and weaknesses in research and analysis.
• To foster self-assessment and a commitment to ongoing improvement.

9. Promoting Innovation:

• To inspire creativity and innovation in finding solutions to complex problems or challenges.
• To encourage students to think outside the box and explore new approaches.

10. Building a Portfolio:

To provide students with tangible evidence of their academic and problem-solving abilities that can be included in their academic or professional portfolios.

What are the Elements of a Case Study?

A case study typically includes an introduction, background information, presentation of the main issue or problem, analysis, solutions or interventions, and a conclusion. It often incorporates supporting data and references.

How Long is a Case Study?

The length of a case study can vary, but it generally ranges from 500 to 1500 words. This length allows for a detailed examination of the subject while maintaining conciseness and focus.

How Big Should a Case Study Be?

The size of a case study should be sufficient to comprehensively cover the topic, typically around 2 to 5 pages. This size allows for depth in analysis while remaining concise and readable.

What Makes a Good Case Study?

A good case study is clear, concise, and well-structured, focusing on a relevant and interesting issue. It should offer insightful analysis, practical solutions, and demonstrate real-world applications or implications.

Case studies bring people into the real world to allow themselves engage in different fields such as in business examples, politics, health related aspect where each individuals could find an avenue to make difficult decisions. It serves to provide framework for analysis and evaluation of the different societal issues. This is one of the best way to focus on what really matters, to discuss about issues and to know what can we do about it.

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Home » Case Study – Methods, Examples and Guide

Case Study – Methods, Examples and Guide

Table of Contents

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

• Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
• Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
• Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
• Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
• Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
• Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
• Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

• The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
• The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
• The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
• The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
• The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

• Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
• Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
• Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
• Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

• In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
• Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
• Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
• Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
• Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
• Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

• Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
• Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
• Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
• Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
• Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
• Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Case Study Analysis: Examples + How-to Guide & Writing Tips

A case study analysis is a typical assignment in business management courses. The task aims to show high school and college students how to analyze a current situation, determine what problems exist, and develop the best possible strategy to achieve the desired outcome.

Our specialists will write a custom essay specially for you!

Many students feel anxious about writing case analyses because being told to analyze a case study and provide a solution can seem like a big task. That is especially so when working with real-life scenarios. However, you can rest assured writing a case analysis paper is easier than you think. Just keep reading this article and you will find case study examples for students and the advice provided by Custom-writing experts!

• 👣 Main Steps
• 🕵 Preparing the Case

🔬 Analyzing the Case

• 📑 Format & Structure
• 🙅 Things to Avoid
• 🏁 Conclusion

🔗 References

👣 writing a case study analysis: main steps.

Business management is built on case analysis. Every single economic result shows that the methods and instruments employed were either well-timed and expedient, in the event of success, or not, in case of failure. These two options indicate whether the strategy is efficient (and should be followed) or requires corrections (or complete change). Such an approach to the case study will make your writing piece more proficient and valuable for the reader. The following steps will direct your plan for writing a case study analysis.

Step 1: Preliminary work

• Make notes and highlight the numbers and ideas that could be quoted.
• Single out as many problems as you can, and briefly mark their underlying issues. Then make a note of those responsible. In the report, you will use two to five of the problems, so you will have a selection to choose from.
• Outline a possible solution to each of the problems you found. Course readings and outside research shall be used here. Highlight your best and worst solution for further reference.

Step 2: Drafting the Case

• Provide a general description of the situation and its history.
• Name all the problems you are going to discuss.
• Specify the theory used for the analysis.
• Present the assumptions that emerged during the analysis, if any.
• Describe the detected problems in more detail.
• Indicate their link to, and effect on, the general situation.
• Explain why the problems emerged and persist.
• List realistic and feasible solutions to the problems you outlined, in the order of importance.
• Specify your predicted results of such changes.
• Support your choice with reliable evidence (i.e., textbook readings, the experience of famous companies, and other external research).
• Define the strategies required to fulfill your proposed solution.
• Indicate the responsible people and the realistic terms for its implementation.
• Recommend the issues for further analysis and supervision.

Step 3: Finalizing the Case

Like any other piece of writing, a case analysis requires post-editing. Carefully read it through, looking for inconsistencies and gaps in meaning. Your purpose is to make it look complete, precise, and convincing.

🕵 Preparing a Case for Analysis

Your professor might give you various case study examples from which to choose, or they may just assign you a particular case study. To conduct a thorough data analysis, you must first read the case study. This might appear to be obvious. However, you’d be surprised at how many students don’t take adequate time to complete this part.

Read the case study very thoroughly, preferably several times. Highlight, underline, flag key information, and make notes to refer to later when you are writing your analysis report.

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If you don’t have a complete knowledge of the case study your professor has assigned, you won’t conduct a proper analysis of it. Even if you make use of a business case study template or refer to a sample analysis, it won’t help if you aren’t intimately familiar with your case study.

You will also have to conduct research. When it comes to research, you will need to do the following:

• Gather hard, quantitative data (e.g. 67% of the staff participated in the meeting).
• Design research tools , such as questionnaires and surveys (this will aid in gathering data).
• Determine and suggest the best specific, workable solutions.

It would be best if you also learned how to analyze a case study. Once you have read through the case study, you need to determine the focus of your analysis. You can do this by doing the following:

Compare your chosen solutions to the solutions offered by the experts who analyzed the case study you were given or to online assignments for students who were dealing with a similar task. The experts’ solutions will probably be more advanced than yours simply because these people are more experienced. However, don’t let this discourage you; the whole point of doing this analysis is to learn. Use the opportunity to learn from others’ valuable experience, and your results will be better next time.

If you are still in doubt, the University of South Carolina offers a great guide on forming a case study analysis.

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📑 Case Analysis Format & Structure

When you are learning how to write a case study analysis, it is important to get the format of your analysis right. Understanding the case study format is vital for both the professor and the student. The person planning and handing out such an assignment should ensure that the student doesn’t have to use any external sources .

In turn, students have to remember that a well-written case analysis provides all the data, making it unnecessary for the reader to go elsewhere for information.

Regardless of whether you use a case study template, you will need to follow a clear and concise format when writing your analysis report. There are some possible case study frameworks available. Still, a case study should contain eight sections laid out in the following format:

• Describe the purpose of the current case study;
• Provide a summary of the company;
• Briefly introduce the problems and issues found in the case study
• Discuss the theory you will be using in the analysis;
• Present the key points of the study and present any assumptions made during the analysis.
• Present each problem you have singled out;
• Justify your inclusion of each problem by providing supporting evidence from the case study and by discussing relevant theory and what you have learned from your course content;
• Divide the section (and following sections) into subsections, one for each of your selected problems.
• Present a summary of each problem you have identified;
• Present plausible solutions for each of the problems, keeping in mind that each problem will likely have more than one possible solution;
• Provide the pros and cons of each solution in a way that is practical.
• Conclusion . This is a summary of your findings and discussion.
• Decide which solution best fits each of the issues you identified;
• Explain why you chose this solution and how it will effectively solve the problem;
• Be persuasive when you write this section so that you can drive your point home;
• Be sure to bring together theory and what you have learned throughout your course to support your recommendations.
• Provide an explanation of what must be done, who should take action, and when the solution should be carried out;
• Where relevant, you should provide an estimate of the cost in implementing the solution, including both the financial investment and the cost in terms of time.
• References. While you generally do not need to refer to many external sources when writing a case study analysis, you might use a few. When you do, you will need to properly reference these sources, which is most often done in one of the main citation styles, including APA, MLA, or Harvard. There is plenty of help when citing references, and you can follow these APA guidelines , these MLA guidelines , or these Harvard guidelines .
• Appendices. This is the section you include after your case study analysis if you used any original data in the report. These data, presented as charts, graphs, and tables, are included here because to present them in the main body of the analysis would be disruptive to the reader. The University of Southern California provides a great description of appendices and when to make use of them.

When you’ve finished your first draft, be sure to proofread it. Look not only for potential grammar and spelling errors but also for discrepancies or holes in your argument.

You should also know what you need to avoid when writing your analysis.

Get an originally-written paper according to your instructions!

🙅 Things to Avoid in Case Analysis

Whenever you deal with a case study, remember that there are some pitfalls to avoid! Beware of the following mistakes:

• Excessive use of colloquial language . Even though it is a study of an actual case, it should sound formal.
• Lack of statistical data . Give all the important data, both in percentages and in numbers.
• Excessive details. State only the most significant facts, rather than drowning the reader in every fact you find.
• Inconsistency in the methods you have used . In a case study, theory plays a relatively small part, so you must develop a specific case study research methodology.
• Trivial means of research . It is critical that you design your own case study research method in whatever form best suits your analysis, such as questionnaires and surveys.

It is useful to see a few examples of case analysis papers. After all, a sample case study report can provide you with some context so you can see how to approach each aspect of your paper.

👀 Case Study Examples for Students

It might be easier to understand how a case study analysis works if you have an example to look at. Fortunately, examples of case studies are easy to come by. Take a look at this video for a sample case study analysis for the Coca-Cola Company.

If you want another example, then take a look at the one below!

Business Case Analysis: Example

CRM’s primary focus is customers and customer perception of the brand or the company. The focus may shift depending on customers’ needs. The main points that Center Parcs should consider are an increase in customer satisfaction and its market share. Both of these points will enhance customer perception of the product as a product of value. Increased customer satisfaction will indicate that the company provides quality services, and increased market share can reduce the number of switching (or leaving) customers, thus fostering customer loyalty.

Case Study Topics

• Equifax case study: the importance of cybersecurity measures . 
• Study a case illustrating ethical issues of medical research.  
• Examine the case describing the complications connected with nursing and residential care.  
• Analyze the competitive strategy of Delta Airlines . 
• Present a case study of an ethical dilemma showing the conflict between the spirit and the letter of the law.  
• Explore the aspects of Starbucks’ marketing strategyin a case study.  
• Research a case of community-based clinic organization and development.  
• Customer service of United Airlines: a case study . 
• Analyze a specific schizophrenia case and provide your recommendations.  
• Provide a case study of a patient with hyperglycemia.  
• Examine the growth strategy of United Healthcare. 
• Present a case study demonstrating ethical issues in business .  
• Study a case of the 5% shareholding rule application and its impact on the company.  
• Case study of post-traumatic stress disorder . 
• Analyze a case examining the issues of cross-cultural management .  
• Write a case study exploring the ethical issues the finance manager of a long-term care facility can face and the possible reaction to them.  
• Write a case study analyzing the aspects of a new president of a firm election. 
• Discuss the specifics of supply chain management in the case of Tehindo company. 
• Study a case of a life crisis in a family and the ways to cope with it.  
• Case study of Tea Leaves and More: supply chain issues .   
• Explore the case of ketogenic diet implementation among sportspeople.  
• Analyze the case of Webster Jewelry shop and suggest some changes.  
• Examine the unique aspects of Tea and More brand management .  
• Adidas case study: an ethical dilemma .  
• Research the challenges of Brazos Valley Food Bank and suggest possible solutions.  
• Describe the case of dark web monitoring for business.  
• Study a case of permissive parenting style .  
• Case study of Starbucks employees . 
• Analyze a case of workplace discrimination and suggest a strategy to avoid it.  
• Examine a case of the consumer decision-making process and define the factors that influence it.  
• Present a case study of Netflix illustrating the crucial role of management innovation for company development.  
• Discuss a case describing a workplace ethical issue and propose ways to resolve it.  
• Case study of the 2008 financial crisis: Graham’s value investing principles in the modern economic climate. 
• Write a case study analyzing the harmful consequences of communication issues in a virtual team .  
• Analyze a case that highlights the importance of a proper functional currency choice. 
• Examine the case of Hitachi Power Systems management.  
• Present a case study of medication research in a healthcare facility.  
• Study the case of Fiji Water and the challenges the brand faces.  
• Research a social problem case and suggest a solution.  
• Analyze a case that reveals the connection between alcohol use and borderline personality disorder .  
• Transglobal Airline case study: break-even analysis.   
• Examine the case of Chiquita Brands International from the moral and business ethics points of view.  
• Present a case study of applying for Social Security benefits. 
• Study the case of a mass hacker attack on Microsoft clients and suggest possible ways to prevent future attacks.  
• Case study of leadership effectiveness . 
• Analyze a case presenting a clinical moral dilemma and propose ways to resolve it. 
• Describe the case of Cowbell Brewing Company and discuss the strategy that made them successful.  
• Write a case study of WeWork company and analyze the strengths and weaknesses of its strategy.  
• Case study of medical ethical decision-making. 
• Study the case of The Georges hotel and suggest ways to overcome its managerial issues.  

🏁 Concluding Remarks

Writing a case study analysis can seem incredibly overwhelming, especially if you have never done it before. Just remember, you can do it provided you follow a plan, keep to the format described here, and study at least one case analysis example.

If you still need help analyzing a case study, your professor is always available to answer your questions and point you in the right direction. You can also get help with any aspect of the project from a custom writing company. Just tackle the research and hand over the writing, write a rough draft and have it checked by a professional, or completely hand the project off to an expert writer.

Regardless of the path you choose, you will turn in something of which you can be proud!

✏️ Case Study Analysis FAQ

Students (especially those who study business) often need to write a case study analysis. It is a kind of report that describes a business case. It includes multiple aspects, for example, the problems that exist, possible solutions, forecasts, etc.

There should be 3 main points covered in a case study analysis:

• The challenge(s) description,
• Possible solutions,
• Outcomes (real and/or foreseen).

Firstly, study some examples available online and in the library. Case study analysis should be a well-structured paper with all the integral components in place. Thus, you might want to use a template and/or an outline to start correctly.

A case study analysis is a popular task for business students. They typically hand it in the format of a paper with several integral components:

• Description of the problem
• Possible ways out
• Results and/or forecasts

Students sometimes tell about the outcome of their research within an oral presentation.

• Case Study: Academia
• Windows of vulnerability: a case study analysis (IEEE)
• A (Very) Brief Refresher on the Case Study Method: SAGE
• The case study approach: Medical Research Methodology
• Strengths and Limitations of Case Studies: Stanford University
• A Sample APA Paper: Radford University
• How to Write a Case Study APA Style: Seattle PI
• The Case Analysis: GVSU
• How to Outline: Purdue OWL
• Incorporating Interview Data: UW-Madison Writing Center
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5 Benefits of Learning Through the Case Study Method

• 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

Access your free e-book today.

What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span seven subject areas, including:

• Business essentials
• Leadership and management
• Entrepreneurship and innovation
• Finance and accounting
• Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

Are you interested in discovering how HBS Online can help advance your career? Explore our course catalog and download our free guide —complete with interactive workbook sections—to determine if online learning is right for you and which course to take.

About the Author

Data Analytics Case Study Guide 2024

by Sam McKay, CFA | Data Analytics

Data analytics case studies reveal how businesses harness data for informed decisions and growth.

For aspiring data professionals, mastering the case study process will enhance your skills and increase your career prospects.

So, how do you approach a case study?

Use these steps to process a data analytics case study:

Understand the Problem: Grasp the core problem or question addressed in the case study.

Collect Relevant Data: Gather data from diverse sources, ensuring accuracy and completeness.

Apply Analytical Techniques: Use appropriate methods aligned with the problem statement.

Visualize Insights: Utilize visual aids to showcase patterns and key findings.

Derive Actionable Insights: Focus on deriving meaningful actions from the analysis.

This article will give you detailed steps to navigate a case study effectively and understand how it works in real-world situations.

By the end of the article, you will be better equipped to approach a data analytics case study, strengthening your analytical prowess and practical application skills.

Let’s dive in!

Table of Contents

What is a Data Analytics Case Study?

A data analytics case study is a real or hypothetical scenario where analytics techniques are applied to solve a specific problem or explore a particular question.

It’s a practical approach that uses data analytics methods, assisting in deciphering data for meaningful insights. This structured method helps individuals or organizations make sense of data effectively.

Additionally, it’s a way to learn by doing, where there’s no single right or wrong answer in how you analyze the data.

So, what are the components of a case study?

Key Components of a Data Analytics Case Study

A data analytics case study comprises essential elements that structure the analytical journey:

Problem Context: A case study begins with a defined problem or question. It provides the context for the data analysis , setting the stage for exploration and investigation.

Data Collection and Sources: It involves gathering relevant data from various sources , ensuring data accuracy, completeness, and relevance to the problem at hand.

Analysis Techniques: Case studies employ different analytical methods, such as statistical analysis, machine learning algorithms, or visualization tools, to derive meaningful conclusions from the collected data.

Insights and Recommendations: The ultimate goal is to extract actionable insights from the analyzed data, offering recommendations or solutions that address the initial problem or question.

Now that you have a better understanding of what a data analytics case study is, let’s talk about why we need and use them.

Why Case Studies are Integral to Data Analytics

Case studies serve as invaluable tools in the realm of data analytics, offering multifaceted benefits that bolster an analyst’s proficiency and impact:

Real-Life Insights and Skill Enhancement: Examining case studies provides practical, real-life examples that expand knowledge and refine skills. These examples offer insights into diverse scenarios, aiding in a data analyst’s growth and expertise development.

Validation and Refinement of Analyses: Case studies demonstrate the effectiveness of data-driven decisions across industries, providing validation for analytical approaches. They showcase how organizations benefit from data analytics. Also, this helps in refining one’s own methodologies

Showcasing Data Impact on Business Outcomes: These studies show how data analytics directly affects business results, like increasing revenue, reducing costs, or delivering other measurable advantages. Understanding these impacts helps articulate the value of data analytics to stakeholders and decision-makers.

Learning from Successes and Failures: By exploring a case study, analysts glean insights from others’ successes and failures, acquiring new strategies and best practices. This learning experience facilitates professional growth and the adoption of innovative approaches within their own data analytics work.

Including case studies in a data analyst’s toolkit helps gain more knowledge, improve skills, and understand how data analytics affects different industries.

Using these real-life examples boosts confidence and success, guiding analysts to make better and more impactful decisions in their organizations.

But not all case studies are the same.

Let’s talk about the different types.

Types of Data Analytics Case Studies

Data analytics encompasses various approaches tailored to different analytical goals:

Exploratory Case Study: These involve delving into new datasets to uncover hidden patterns and relationships, often without a predefined hypothesis. They aim to gain insights and generate hypotheses for further investigation.

Predictive Case Study: These utilize historical data to forecast future trends, behaviors, or outcomes. By applying predictive models, they help anticipate potential scenarios or developments.

Diagnostic Case Study: This type focuses on understanding the root causes or reasons behind specific events or trends observed in the data. It digs deep into the data to provide explanations for occurrences.

Prescriptive Case Study: This case study goes beyond analytics; it provides actionable recommendations or strategies derived from the analyzed data. They guide decision-making processes by suggesting optimal courses of action based on insights gained.

Each type has a specific role in using data to find important insights, helping in decision-making, and solving problems in various situations.

Regardless of the type of case study you encounter, here are some steps to help you process them.

Roadmap to Handling a Data Analysis Case Study

Embarking on a data analytics case study requires a systematic approach, step-by-step, to derive valuable insights effectively.

Here are the steps to help you through the process:

Step 1: Understanding the Case Study Context: Immerse yourself in the intricacies of the case study. Delve into the industry context, understanding its nuances, challenges, and opportunities.

Identify the central problem or question the study aims to address. Clarify the objectives and expected outcomes, ensuring a clear understanding before diving into data analytics.

Step 2: Data Collection and Validation: Gather data from diverse sources relevant to the case study. Prioritize accuracy, completeness, and reliability during data collection. Conduct thorough validation processes to rectify inconsistencies, ensuring high-quality and trustworthy data for subsequent analysis.

Step 3: Problem Definition and Scope: Define the problem statement precisely. Articulate the objectives and limitations that shape the scope of your analysis. Identify influential variables and constraints, providing a focused framework to guide your exploration.

Step 4: Exploratory Data Analysis (EDA): Leverage exploratory techniques to gain initial insights. Visualize data distributions, patterns, and correlations, fostering a deeper understanding of the dataset. These explorations serve as a foundation for more nuanced analysis.

Step 5: Data Preprocessing and Transformation: Cleanse and preprocess the data to eliminate noise, handle missing values, and ensure consistency. Transform data formats or scales as required, preparing the dataset for further analysis.

Step 6: Data Modeling and Method Selection: Select analytical models aligning with the case study’s problem, employing statistical techniques, machine learning algorithms, or tailored predictive models.

In this phase, it’s important to develop data modeling skills. This helps create visuals of complex systems using organized data, which helps solve business problems more effectively.

Understand key data modeling concepts, utilize essential tools like SQL for database interaction, and practice building models from real-world scenarios.

Furthermore, strengthen data cleaning skills for accurate datasets, and stay updated with industry trends to ensure relevance.

Step 7: Model Evaluation and Refinement: Evaluate the performance of applied models rigorously. Iterate and refine models to enhance accuracy and reliability, ensuring alignment with the objectives and expected outcomes.

Step 8: Deriving Insights and Recommendations: Extract actionable insights from the analyzed data. Develop well-structured recommendations or solutions based on the insights uncovered, addressing the core problem or question effectively.

Step 9: Communicating Results Effectively: Present findings, insights, and recommendations clearly and concisely. Utilize visualizations and storytelling techniques to convey complex information compellingly, ensuring comprehension by stakeholders.

Step 10: Reflection and Iteration: Reflect on the entire analysis process and outcomes. Identify potential improvements and lessons learned. Embrace an iterative approach, refining methodologies for continuous enhancement and future analyses.

This step-by-step roadmap provides a structured framework for thorough and effective handling of a data analytics case study.

Now, after handling data analytics comes a crucial step; presenting the case study.

Presenting Your Data Analytics Case Study

Presenting a data analytics case study is a vital part of the process. When presenting your case study, clarity and organization are paramount.

To achieve this, follow these key steps:

Structuring Your Case Study: Start by outlining relevant and accurate main points. Ensure these points align with the problem addressed and the methodologies used in your analysis.

Crafting a Narrative with Data: Start with a brief overview of the issue, then explain your method and steps, covering data collection, cleaning, stats, and advanced modeling.

Visual Representation for Clarity: Utilize various visual aids—tables, graphs, and charts—to illustrate patterns, trends, and insights. Ensure these visuals are easy to comprehend and seamlessly support your narrative.

Highlighting Key Information: Use bullet points to emphasize essential information, maintaining clarity and allowing the audience to grasp key takeaways effortlessly. Bold key terms or phrases to draw attention and reinforce important points.

Addressing Audience Queries: Anticipate and be ready to answer audience questions regarding methods, assumptions, and results. Demonstrating a profound understanding of your analysis instills confidence in your work.

Integrity and Confidence in Delivery: Maintain a neutral tone and avoid exaggerated claims about findings. Present your case study with integrity, clarity, and confidence to ensure the audience appreciates and comprehends the significance of your work.

By organizing your presentation well, telling a clear story through your analysis, and using visuals wisely, you can effectively share your data analytics case study.

This method helps people understand better, stay engaged, and draw valuable conclusions from your work.

We hope by now, you are feeling very confident processing a case study. But with any process, there are challenges you may encounter.

Key Challenges in Data Analytics Case Studies

A data analytics case study can present various hurdles that necessitate strategic approaches for successful navigation:

Challenge 1: Data Quality and Consistency

Challenge: Inconsistent or poor-quality data can impede analysis, leading to erroneous insights and flawed conclusions.

Solution: Implement rigorous data validation processes, ensuring accuracy, completeness, and reliability. Employ data cleansing techniques to rectify inconsistencies and enhance overall data quality.

Challenge 2: Complexity and Scale of Data

Challenge: Managing vast volumes of data with diverse formats and complexities poses analytical challenges.

Solution: Utilize scalable data processing frameworks and tools capable of handling diverse data types. Implement efficient data storage and retrieval systems to manage large-scale datasets effectively.

Challenge 3: Interpretation and Contextual Understanding

Challenge: Interpreting data without contextual understanding or domain expertise can lead to misinterpretations.

Solution: Collaborate with domain experts to contextualize data and derive relevant insights. Invest in understanding the nuances of the industry or domain under analysis to ensure accurate interpretations.

Challenge 4: Privacy and Ethical Concerns

Challenge: Balancing data access for analysis while respecting privacy and ethical boundaries poses a challenge.

Solution: Implement robust data governance frameworks that prioritize data privacy and ethical considerations. Ensure compliance with regulatory standards and ethical guidelines throughout the analysis process.

Challenge 5: Resource Limitations and Time Constraints

Challenge: Limited resources and time constraints hinder comprehensive analysis and exhaustive data exploration.

Solution: Prioritize key objectives and allocate resources efficiently. Employ agile methodologies to iteratively analyze and derive insights, focusing on the most impactful aspects within the given timeframe.

Recognizing these challenges is key; it helps data analysts adopt proactive strategies to mitigate obstacles. This enhances the effectiveness and reliability of insights derived from a data analytics case study.

Now, let’s talk about the best software tools you should use when working with case studies.

Top 5 Software Tools for Case Studies

In the realm of case studies within data analytics, leveraging the right software tools is essential.

Here are some top-notch options:

Tableau : Renowned for its data visualization prowess, Tableau transforms raw data into interactive, visually compelling representations, ideal for presenting insights within a case study.

Python and R Libraries: These flexible programming languages provide many tools for handling data, doing statistics, and working with machine learning, meeting various needs in case studies.

Microsoft Excel : A staple tool for data analytics, Excel provides a user-friendly interface for basic analytics, making it useful for initial data exploration in a case study.

SQL Databases : Structured Query Language (SQL) databases assist in managing and querying large datasets, essential for organizing case study data effectively.

Statistical Software (e.g., SPSS , SAS ): Specialized statistical software enables in-depth statistical analysis, aiding in deriving precise insights from case study data.

Choosing the best mix of these tools, tailored to each case study’s needs, greatly boosts analytical abilities and results in data analytics.

Final Thoughts

Case studies in data analytics are helpful guides. They give real-world insights, improve skills, and show how data-driven decisions work.

Using case studies helps analysts learn, be creative, and make essential decisions confidently in their data work.

Check out our latest clip below to further your learning!

Frequently Asked Questions

What are the key steps to analyzing a data analytics case study.

When analyzing a case study, you should follow these steps:

Clarify the problem : Ensure you thoroughly understand the problem statement and the scope of the analysis.

Make assumptions : Define your assumptions to establish a feasible framework for analyzing the case.

Gather context : Acquire relevant information and context to support your analysis.

Analyze the data : Perform calculations, create visualizations, and conduct statistical analysis on the data.

Provide insights : Draw conclusions and develop actionable insights based on your analysis.

How can you effectively interpret results during a data scientist case study job interview?

During your next data science interview, interpret case study results succinctly and clearly. Utilize visual aids and numerical data to bolster your explanations, ensuring comprehension.

Frame the results in an audience-friendly manner, emphasizing relevance. Concentrate on deriving insights and actionable steps from the outcomes.

How do you showcase your data analyst skills in a project?

To demonstrate your skills effectively, consider these essential steps. Begin by selecting a problem that allows you to exhibit your capacity to handle real-world challenges through analysis.

Methodically document each phase, encompassing data cleaning, visualization, statistical analysis, and the interpretation of findings.

Utilize descriptive analysis techniques and effectively communicate your insights using clear visual aids and straightforward language. Ensure your project code is well-structured, with detailed comments and documentation, showcasing your proficiency in handling data in an organized manner.

Lastly, emphasize your expertise in SQL queries, programming languages, and various analytics tools throughout the project. These steps collectively highlight your competence and proficiency as a skilled data analyst, demonstrating your capabilities within the project.

Can you provide an example of a successful data analytics project using key metrics?

A prime illustration is utilizing analytics in healthcare to forecast hospital readmissions. Analysts leverage electronic health records, patient demographics, and clinical data to identify high-risk individuals.

Implementing preventive measures based on these key metrics helps curtail readmission rates, enhancing patient outcomes and cutting healthcare expenses.

This demonstrates how data analytics, driven by metrics, effectively tackles real-world challenges, yielding impactful solutions.

Why would a company invest in data analytics?

Companies invest in data analytics to gain valuable insights, enabling informed decision-making and strategic planning. This investment helps optimize operations, understand customer behavior, and stay competitive in their industry.

Ultimately, leveraging data analytics empowers companies to make smarter, data-driven choices, leading to enhanced efficiency, innovation, and growth.

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• Open access
• Published: 15 April 2024

Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis

• Hamidreza Amiri 1   na1 ,
• Samira Peiravi 2   na1 ,
• Seyedeh sara rezazadeh shojaee 3   na1 ,
• Motahareh Rouhparvarzamin 4 ,
• Mohammad Naser Nateghi 5 ,
• Mohammad Hossein Etemadi 6 ,
• Mahdie ShojaeiBaghini 7 ,
• Farhan Musaie 8 ,
• Mohammad Hossein Anvari 9 &
• Mahsa Asadi Anar 10  

BMC Medical Education volume  24 , Article number:  412 ( 2024 ) Cite this article

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Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields. This meta-analysis aims to investigate the knowledge and attitude of medical, dental, and nursing students and experts in this field about AI and its application.

This study was designed based on PRISMA guidelines. PubMed, Scopus, and Google Scholar databases were searched with relevant keywords. After study selection according to inclusion criteria, data of knowledge and attitude were extracted for meta-analysis.

Twenty-two studies included 8491 participants were included in this meta-analysis. The pooled analysis revealed a proportion of 0.44 (95%CI = [0.34, 0.54], P  < 0.01, I2 = 98.95%) for knowledge. Moreover, the proportion of attitude was 0.65 (95%CI = [0.55, 0.75], P  < 0.01, I2 = 99.47%). The studies did not show any publication bias with a symmetrical funnel plot.

Average levels of knowledge indicate the necessity of including relevant educational programs in the student’s academic curriculum. The positive attitude of students promises the acceptance of AI technology. However, dealing with ethics education in AI and the aspects of human-AI cooperation are discussed. Future longitudinal studies could follow students to provide more data to guide how AI can be incorporated into education.

Peer Review reports

Introduction

The term "artificial intelligence (AI)" was coined nearly 70 years ago to refer to using of computers to imitate human reasoning [ 1 ]. The first application of AI was in mathematics in 1956 when it was utilized for proving theorems [ 2 ]. Integrating of AI in medicine was a gradual process [ 3 ] that began with the development of a software program that guided doctors on appropriate antimicrobial therapy [ 4 ].

AI is a trending topic that is currently at the forefront of technological advancements [ 5 ] and has the potential to influence the healthcare industry significantly [ 6 ]. The term AI refers to a scientific and engineering discipline that deals with developing computer-based systems capable of exhibiting intelligent behavior, as well as understanding and replicating human-like cognitive processes [ 7 ]. Recent advancements in computer and informatics technologies have paved the way for integrating of AI technologies, such as machine learning and deep learning, into healthcare information systems [ 8 , 9 ]. AI has been extensively integrated into decision support systems (DSSs) in data-intensive medical specialties like radiology, pathology, and ophthalmology [ 10 ].

Several experts have expressed their opinions on the future of radiology in light of AI's emergence [ 11 , 12 ]. Radiological societies have also published white papers promoting their views [ 13 , 14 ]. Studies have indicated that medical students do not express significant concern or fear about being replaced by AI in their profession [ 15 ]. However, some students may experience anxiety related to the possibility of being displaced by AI, which may discourage them from considering certain medical specialties [ 16 ]. Indeed, there are positive and negative perspectives on the impact of AI on daily human life. Pessimistic views suggest that AI may replace humans in various sectors. On the other hand, optimistic views highlight that individuals with AI support will have increased opportunities to leverage future advancements [ 17 ]. To the best of our knowledge, this study aimed to evaluate the attitudes, knowledge, and skills of medical, dental, and nursing students toward AI and to gather information about their opinions on the use of AI.

This systematic review and meta-analysis study was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. The protocol of this study was registered on PROSPERO with the ID of CRD42024521006.

Literature search

A structured literature search was applied up to 12th September 2023 to collect appropriate articles from PubMed /MEDLINE, Scopus, and Google Scholar databases. Search tactics included two main subgroups of keywords. One subgroup was the concepts related to artificial intelligence, and the other group was the perspective of health care and dentists; then, Subgroups were mixed by using ‘AND.’ More specifically, we searched the above databases for (artificial intelligence or machine learning) and (Medical or dentistry or nursing) (Table  1 ). The search process was done according to the query options of each database. In addition, we searched the reference lists of appropriate systematic reviews to prevent missing data. Two reviewers accomplished all strategies in a solitary state, and any controversy between the reviewers was resolved by negotiation.

Criteria for selecting studies

The main goal was to evaluate the attitudes of students and graduates working in dentistry, nursing, or medical (health care providers) fields toward AI and machine learning. We didn't use any restrictions on date and language, but to make the search more specific, we restricted the keyword search to the title. Articles with irrelevant subject matter and studies utilizing animal models were excluded during the initial phase of document selection. Additionally, duplicate documents were eliminated.

Data extraction and study quality assessment

Two reviewers independently assessed the title and abstract of each study to ascertain its suitability for inclusion in this meta-analysis. We excluded studies that didn’t fulfill our criteria. The complete text of the remaining studies was reviewed, and studies that met the criteria were included in the data extraction step. After that, the subsequent items were acquired for extraction and divided into four sets:

1. Study characteristics include authors, type of study, year, location, and follow-up duration.

2. Participant variables (average age, gender).

3. Research Methodology (e.g., participant sample size).

4. Results and outcomes (the attitude, knowledge, and skill toward artificial intelligence).

Two previously mentioned reviewers utilized the critical appraisal checklists for cohort, case–control, and analytical cross-sectional studies created by the Joanna Briggs Institute (JBI). The checklists can be found at the following website: https://jbi.global/critical-appraisal-tools . If there were any inconsistencies, a third author was involved in the process.

Statistical analysis

Our data analysis was conducted using the STATA 13.1 software developed by StataCorp LP in College Station, TX, USA. The findings were presented as combined odds ratios (ORs) and a 95% confidence interval displayed in a forest plot. Heterogeneity among the eligible studies was assessed using the I2 statistic. The random effects model was employed when significant heterogeneity was observed (I2 > 50%). In addition, we performed a sensitivity analysis by systematically excluding one study at a time and repeating the meta-analysis. This allowed us to guarantee the consistency of our conclusions. To assess the possibility of publication bias, we visually examined the symmetry of the funnel plot and conducted Egger’s regression analysis.

Search strategy

We obtained 2426 from PubMed/MEDLINE, Scopus, and Google Scholar in the initial search. Seventeen studies were found by manual search. After the automatic removal of duplicated reports, 2292 studies remained. Two thousand sixty-five studies were excluded in the title and abstract evaluation. Two hundred twenty-seven remaining studies underwent additional assessment through full-text, causing 205 papers to be excluded due to ineligibility to inclusion criteria. Finally, 22 studies were included in this systematic review and meta-analysis (Fig.  1 ).

Prisma diagram for study selection process in this study

Baseline characteristic

This systematic review and meta-analysis evaluated the attitude, knowledge, and skills of medical, dental, and nursing students toward artificial intelligence. We included 22 original articles published from 2020–2023. These studies were performed in several countries, including the U.S.A [ 18 ], Germany [ 19 , 20 ], Lebanon [ 21 ], Pakistan [ 22 ], Canada [ 23 ], The U.K. [ 24 ], United Arab Emirates [ 25 ], Nigeria [ 26 ], Turkey [ 27 , 28 ], Spain [ 29 ] Saudi Arabia [ 30 ], India [ 31 , 32 , 33 ], Egypt [ 34 ], Peru [ 35 ], Nepal [ 36 ], Kuwait [ 37 ], Syria [ 38 ], and multiple countries [ 39 ]. The study design of 19 studies was cross-sectional [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ], and the rest followed a mixed methodology [ 18 , 19 , 39 ]. This study included 8491 participants, with a mean age of 19–30 years (Table  2 ).

We performed a meta-analysis on 22 studies for attitude of students toward AI. The proportion for attitude was 0.65 (95%CI = [0.55, 0.75], P  < 0.01) according to 22 studies. This means that 65% of all students were agree with the use of AI in medicine and had a favorable view. Similarly, the heterogeneity was severe with I2 of 99.47%, and H2 = 189.47 (Fig.  2 ).

Forest plot of proportion of attitude showed a significant effect of 0.44 (0.34, 0.54)

In comparison between various countries, students in the U.S.A. Kuwait, Saudi Arabia, Turkey, and England showed a higher rate of attitude toward AI than those in Germany, Lebanon, Nigeria, Pakistan, and India. Additionally, the Attitudes of Spanish and United Arab Emirates students varied in different studies. Finally, students in Canada and Egypt displayed a medium rate of positive attitude (Fig.  3 ).

Forest plot for comparing countries in terms of their students' attitudes toward AI

A total of 17 studies had provided the knowledge data. The pooled analysis showed a proportion for knowledge of 0.44 (95%CI = [0.34, 0.54], P  < 0.01). This shows that 44% of the total population of included students had a relatively good knowledge about AI, either in the field of theory or practical. The studies showed a high heterogeneity with an I2 of 98.95% and H2 of 93.35 (Fig.  4 ).

Forest plot of proportion of knowledge showed a significant effect of 0.65 (0.55, 0.75)

Students from Germany, Lebanon, Kuwait, and Pakistan had higher levels of knowledge in the field of AI. In contrast, students from the U.S.A., Nigeria, the United Arab Emirates, and England showed a relatively lower knowledge level. Additionally, the level of knowledge in Indian students varied across different studies. Finally, students from Egypt, Saudi Arabia, and Turkey showed moderate knowledge (Fig.  5 ).

Forest plot for comparing countries in terms of their students' knowledge of AI

Publication bias

The publication bias was evaluated through the funnel plot and Egger’s test. The funnel plot (Fig.  6 ) showed a symmetrical pattern, indicating no publication bias. This was supported by Egger’s test result ( P  = 0.75).

Funnel plot of included studies showed a symmetrical pattern including no publication bias (Egger’s test P -value = 0.75)

This systematic review and meta-analysis aimed to provide evidence on medical, dental, and nursing students’ attitudes, knowledge, and skills regarding AI. Across 24 studies with 5789 participants, students demonstrated moderate knowledge but generally positive attitudes towards AI.

Overall, 44% of students exhibited medium to high knowledge of AI principles and applications. Knowledge encompassed theoretical understanding of AI algorithms, practical abilities to implement AI systems, and programming proficiency. However, the majority of students had limited AI knowledge. This knowledge gap signals an urgent need to incorporate comprehensive AI education into healthcare curricula. Studies show that students support this idea [ 40 , 41 ]. Curricula should cover foundational concepts like machine learning and neural networks as well as applied skills in utilizing AI tools for tasks like diagnostic imaging interpretation. Hands-on experiential learning with real-world case examples could prove highly effective. Other reason is that lack of knowledge is an important barrier to the use of AI [ 42 ]. Notably, students from developed countries demonstrated greater AI knowledge than peers in developing nations. This has been shown in previous studies as well [ 43 ]. This discrepancy highlights concerning global digital divides in accessing AI skills training. Targeted investments and capacity building programs are critical to ensuring students worldwide can gain applied AI competencies.

In contrast to their variable knowledge, 65% of students expressed positive attitudes regarding AI utilization in education and clinical practice. This was also showed in previous studies that most of healthcare students have a positive attitude towards AI [ 19 , 44 , 45 , 46 , 47 ]. Students recognized potential benefits of AI for enhancing diagnostic accuracy, improving healthcare access, and relieving clinical workloads. In contrast there are negative perceptions too [ 44 , 48 , 49 ].

Attitudinal measures had substantial heterogeneity, reflecting divergent perceptions across student subgroups. In particular, developing world students held more skeptical views, fearing AI could dehumanize care or render healthcare jobs obsolete. Curricula must address these valid ethical and social concerns through discussions of AI bias, transparency, and impacts on healthcare roles. It should be noted that patient privacy and autonomy, informed consent, transparency, equality and biases are some of major concerns [ 50 ]. Refining attitudinal measures with more granular subsets and exploring predictors of AI acceptance would further inform targeted educational initiatives based on students’ specific concerns.

Enthusiasm and optimism vs. expertise gaps

Overall students showed enthusiasm and optimism about AI's role in medicine, yet the majority lacked substantial expertise and practical abilities in utilizing AI technology. A similar pattern exists in other majors too. A study by Busch et al. involving 387 pharmacy students from 12 countries found that 58% of students held positive attitudes towards AI in medicine, while 63% reported limited general knowledge of AI [ 51 ]. Bridging these attitude-knowledge gaps represents a key challenge for AI readiness. Curricula must not only transfer technical knowledge but also address values, ethics, and societal impacts. Education should emphasize AI as a collaborative tool to augment human capabilities rather than replace them. Again, having students directly experience AI’s benefits for care quality could show its potential for enhancing work rather than displacing workers. Additionally, equitable access to AI upskilling is imperative, particularly for students from disadvantaged regions who may have heightened concerns about AI’s risks.

Strength and limitations

The strength of our study is the review of articles from three large databases, including PubMed, Scopus, and Google Scholar. Also, we used the random effect model to ensure the robustness of the results. Also, our study had some limitations. We included only studies in English. In addition, most of the included studies used their own questionnaires to evaluate the knowledge and approach of the participants toward artificial intelligence. Finally, it is necessary to mention that there were not enough studies to extract the skill results and perform a meta-analysis.

Future research directions

Future research should investigate the long-term knowledge and attitudinal trajectories of students after graduation. As AI becomes further embedded into real-world practice, how do provider perspectives evolve? Do knowledge gaps persist or does on-the-job exposure improve understanding? How do early attitudinal concerns translate to technology adoption patterns? Longitudinal data tracking cohorts of students into practice could provide pivotal insights to guide continuing education and change management interventions.

Follow-up studies should also assess the durability of AI skills training. Can one-time education produce lasting competencies or is ongoing reinforcement needed? Comparisons of different pedagogical approaches for AI instruction could illuminate best practices as well. And crucially, future work must evaluate links from AI education to concrete improvements in clinical processes and patient outcomes. Demonstrating benefits to care quality represents the strongest incentive for curriculum reform.

AI is rapidly transforming healthcare and medical education. However, the extent to which healthcare students are prepared for this transformation remains unclear. The moderate knowledge levels indicate substantial room for improvement through curricular enhancement. Hands-on experiential learning focused on applied AI skills shows promise for durably improving competencies. Positive baseline attitudes bode well for acceptance, but targeted education around AI ethics, impacts, and human-AI collaboration will be key to realizing this potential.

Important gaps remain in understanding long-term knowledge retention, optimal pedagogies, impacts of improved education on clinical processes and outcomes, and equitable global access. Follow-up longitudinal studies tracking cohorts of students into practice could offer pivotal data to guide continuing education. Comparisons of instructional approaches may illuminate best practices.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Abbreviations

• Artificial intelligence

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Acknowledgements

We appreciate all the authors of included studies.

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Hamidreza Amiri, Samira Peiravi and Seyedeh sara rezazadeh shojaee contributed equally to this work.

Authors and Affiliations

Student Research Committee, Arak University of Medical Sciences, Arak, Iran

Hamidreza Amiri

Department of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Samira Peiravi

Department of Nursing, Faculty of Nursing and Midwifery, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran

Seyedeh sara rezazadeh shojaee

Student Research Committee, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Motahareh Rouhparvarzamin

Student Research Committee, Faculty of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran

Mohammad Naser Nateghi

Students Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Mohammad Hossein Etemadi

Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Mahdie ShojaeiBaghini

Dentistry Student, Dental Branch, Islamic Azad University, Tehran, Iran

Farhan Musaie

Master of Health Science, Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur, Malaysia

Mohammad Hossein Anvari

Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran

Mahsa Asadi Anar

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Study design and conception: M.AA; Search & study selection: H.A, S.P; Data extraction: SS.RS, M.P; Quality assessment: MN.N, MH.E; Statistical analysis and interpretation: M.S, F.M; Drafting the manuscript: H.A, S.P, SS.RS, M.P, MN.N, MH.E, M.S, F.M, MH.A; Critical revision: M.AA. All authors were approved the submitted version.

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Amiri, H., Peiravi, S., rezazadeh shojaee, S. et al. Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Med Educ 24 , 412 (2024). https://doi.org/10.1186/s12909-024-05406-1

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DOI : https://doi.org/10.1186/s12909-024-05406-1

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What federal education data shows about students with disabilities in the U.S.

Public K-12 schools in the United States educate about 7.3 million students with disabilities – a number that has grown over the last few decades. Disabled students ages 3 to 21 are served under the federal  Individuals with Disabilities Education Act (IDEA) , which guarantees them the right to free public education and appropriate special education services.

For Disability Pride Month , here are some key facts about public school students with disabilities, based on the latest data from the  National Center for Education Statistics (NCES) .

July is both Disability Pride Month and the anniversary of the Americans with Disabilities Act. To mark these occasions, Pew Research Center used federal education data from  the National Center for Education Statistics  to learn more about students who receive special education services in U.S. public schools.

In this analysis, students with disabilities include those ages 3 to 21 who are served under the federal  Individuals with Disabilities Education Act (IDEA) . Through IDEA, children with disabilities are guaranteed a “free appropriate public education,” including special education and related services.

The 7.3 million disabled students in the U.S. made up 15% of national public school enrollment during the 2021-22 school year. The population of students in prekindergarten through 12th grade who are served under IDEA has grown in both number and share over the last few decades. During the 2010-11 school year, for instance, there were 6.4 million students with disabilities in U.S. public schools, accounting for 13% of enrollment.

The number of students receiving special education services temporarily dropped during the coronavirus pandemic – the first decline in a decade. Between the 2019-20 and 2020-21 school years, the number of students receiving special education services decreased by 1%, from 7.3 million to 7.2 million. This was the first year-over-year drop in special education enrollment since 2011-12.

The decline in students receiving special education services was part of a 3% decline in the overall number of students enrolled in public schools between 2019-20 and 2020-21. While special education enrollment bounced back to pre-pandemic levels in the 2021-22 school year, overall public school enrollment remained flat.

These enrollment trends may reflect some of the learning difficulties and health concerns students with disabilities and their families faced during the height of the COVID-19 pandemic , which limited or paused special education services in many school districts.

Many school districts struggle to hire special education professionals. During the 2020-21 school year, 40% of public schools that had a special education teaching vacancy reported that they either found it very difficult to fill the position or were not able to do so.

Foreign languages (43%) and physical sciences (37%) were the only subjects with similarly large shares of hard-to-fill teaching vacancies at public schools that were looking to hire in those fields.

While the COVID-19 pandemic called attention to a nationwide teacher shortage , special education positions have long been among the most difficult for school districts to fill .

The most common type of disability for students in prekindergarten through 12th grade involves “specific learning disabilities,” such as dyslexia.  In 2021-22, about a third of students (32%) receiving services under IDEA had a specific learning disability. Some 19% had a speech or language impairment, while 15% had a chronic or acute health problem that adversely affected their educational performance. Chronic or acute health problems include ailments such as heart conditions, asthma, sickle cell anemia, epilepsy, leukemia and diabetes.

Students with autism made up 12% of the nation’s schoolchildren with disabilities in 2021-22, compared with 1.5% in 2000-01.  During those two decades, the share of disabled students with a specific learning disability, such as dyslexia, declined from 45% to 32%.

The percentage of students receiving special education services varies widely across states. New York serves the largest share of disabled students in the country at 20.5% of its overall public school enrollment. Pennsylvania (20.2%), Maine (20.1%) and Massachusetts (19.3%) serve the next-largest shares. The states serving the lowest shares of disabled students include Texas and Idaho (both 11.7%) and Hawaii (11.3%).

Between the 2000-01 and 2021-22 school years, all but 12 states experienced growth in their disabled student populations. The biggest increase occurred in Utah, where the disabled student population rose by 65%. Rhode Island saw the largest decline of 22%.

These differences by state are likely the result of inconsistencies in how states determine which students are eligible for special education services and challenges in identifying disabled children.

The racial and ethnic makeup of the nation’s special education students is similar to public school students overall, but there are differences by sex.  About two-thirds of disabled students (65%) are male, while 34% are female, according to data from the 2021-22 school year. Overall student enrollment is about evenly split between boys and girls.

Research has shown that decisions about whether to recommend a student for special education may be influenced by their school’s socioeconomic makeup, as well as by the school’s test scores and other academic markers.

Note: This is an update of a post originally published April 23, 2020.

About 1 in 4 U.S. teachers say their school went into a gun-related lockdown in the last school year

About half of americans say public k-12 education is going in the wrong direction, what public k-12 teachers want americans to know about teaching, what’s it like to be a teacher in america today, race and lgbtq issues in k-12 schools, most popular.

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EY battle of brains - Power BI case study challenge Let your data tell the story!

EY Learning Solutions has launched a nationwide Power BI case study challenge aimed at UG and PG students to make them future ready

EY battle of brains: Power BI case study challenge

About the challenge

The challenge will take place in five phases: 

• Individual registration  
• Selection of case study
• Undergo the sessions (live and eLearning) on Power BI
• Diagnostic assessment  
• Submission  

Eligibility 

Students enrolled in any undergraduate and postgraduate program are eligible to participate, regardless of their year of study.  

Step 1: Registration

Participant, with only individual participation allowed, can register by clicking below:

                                                Register here

Registrations are open from 16 April 2024 to 19 May 2024

Step 2: Selection of case study : The participants are required to select a case study (any one) from the following list based on their interest. The participants will have access to the synopsis for each case study to make an informed decision. 

1.    E-Commerce analytics: Marketplace price optimization analytics 

2.    Supply chain: Smarter stock management analysis 

3.    Social media analytics: Convert traffic into customers 

4.    Financial analytics: Cash flow analysis 

Step 3: Get familiar with Power BI : This challenge aims to equip participants with the Power BI tool, enabling them to excel in the case challenge. The comprehensive program includes access to eLearning materials and eight hours of live virtual training sessions. By participating in this program, students will gain the confidence to tackle any Power BI task. Please note that the schedule for the eight-hour virtual live sessions will be shared with all registered students 

Step 4: Diagnostic assessment: To optimize your learning experience and tailor the challenge to your needs, all participants must complete a mandatory quiz. Your score will be considered in the final evaluation of the case solution.

Diagnostic assessment details  

• Duration : one hour 
• Number of questions : 30 
• Format : Multiple-Choice Questions (MCQs), no negative marking 
• Please note: Failure to participate in the quiz will result in disqualification 

Step 5: Final submission : Submit responses to the case study questions by 30 June 2024. The submissions should be shared in a Power BI file format (.pbix) which needs to be uploaded on the google drive.

IMPORTANT: Late entries will not be entertained.  

• Registration open: 16 April 2024
• Registration close: 19 May 2024
• Training and learning period: 22 May 2024 to 11 June 2024
• Diagnostic assessment:  15 June 2024
• Final submission: 30 June 2024
• Result announcement: 12 July 2024
• Two months internship with EY India*
• Gift hamper worth INR 10,000
• Half a year access to any one eLearning certification program at EY Virtual Academy

1st Runner up:

• Gift hamper worth INR 5000

2nd Runner up:

• Gift hamper worth INR 2500

*The winners will secure pro-bono internships with EY 

All registered participants attending the session of eight hours will receive a certificate of participation from EY.

Additionally, all the registered participants will be eligible for 20% scholarship on EY Virtual Academy programs

Registration fee:

The registration fee for the competition is INR 2000 + GST

Evaluation criteria :

The case submissions will be evaluated basis the following:

• Assessment scores 
• Usage of the power BI tool 
• Practical applicability and relevance of solution 
• Depth of research 
• Clarity of thought 
• Content and writing style 

Important details: What to expect and what is expected

• Stay committed to the spirit of fair competition 
• Failure to follow the rules will result in disqualification
• Each participant can submit only one solution to the case study. Requests for resubmission requests will not be accepted
• Deadlines will not be extended
• Absence from the quiz will result in disqualification
• Plagiarism is strictly prohibited 
• Please ensure that you use the same email address for all communication throughout the challenge

For more information reach out to us  [email protected]

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Ex-assistant principal charged with child neglect in case of boy who shot teacher

The Associated Press

Signs stand outside Richneck Elementary School in Newport News, Va., Jan. 25, 2023. Denise Lavoie/AP hide caption

Signs stand outside Richneck Elementary School in Newport News, Va., Jan. 25, 2023.

NEWPORT NEWS, Va. — A former assistant principal at a Virginia elementary school has been charged with felony child neglect more than a year after a 6-year-old boy brought a gun to class and shot his first-grade teacher .

A special grand jury in Newport News found that Ebony Parker showed a reckless disregard for the lives of Richneck Elementary School students on Jan. 6, 2023, according to indictments unsealed Tuesday.

Parker and other school officials already face a $40 million negligence lawsuit from the teacher who was shot, Abby Zwerner. She accuses Parker and others of ignoring multiple warnings the boy had a gun and was in a "violent mood" the day of the shooting.

Criminal charges against school officials following a school shootings are quite rare, experts say. Parker, 39, faces eight felony counts, each of which is punishable by up to five years in prison.

The Associated Press left a message seeking comment Tuesday with Parker's attorney, Curtis Rogers.

Shots - Health News

'say something' tip line in schools flags gun violence threats, study finds.

Court documents filed Tuesday reveal little about the criminal case against Parker, listing only the counts and a description of the felony charge. It alleges that Parker "did commit a willful act or omission in the care of such students, in a manner so gross, wanton and culpable as to show a reckless disregard for human life."

Newport News police have said the student who shot Zwerner retrieved his mother's handgun from atop a dresser at home and brought the weapon to school concealed in a backpack.

Zwerner's lawsuit describes a series of warnings that school employees gave administrators before the shooting. The lawsuit said those warnings began with Zwerner telling Parker that the boy "was in a violent mood," had threatened to beat up a kindergartener and stared down a security officer in the lunchroom.

The lawsuit alleges that Parker "had no response, refusing even to look up" when Zwerner expressed her concerns.

When concerns were raised that the child may have transferred the gun from his backpack to his pocket, Parker said his "pockets were too small to hold a handgun and did nothing," the lawsuit states.

Architecture

With gun control far from sight, schools redesign for student safety.

A guidance counselor also asked Parker for permission to search the boy, but Parker forbade him, "and stated that John Doe's mother would be arriving soon to pick him up," the lawsuit stated.

Zwerner was sitting at a reading table in front of the class when the boy fired the gun, police said. The bullet struck Zwerner's hand and then her chest, collapsing one of her lungs. She spent nearly two weeks in the hospital and has endured multiple surgeries as well as ongoing emotional trauma, according to her lawsuit.

Parker and the lawsuit's other defendants, which include a former superintendent and the Newport News school board, have tried to block Zwerner's lawsuit.

They've argued that Zwerner's injuries fall under Virginia's workers' compensation law. Their arguments have been unsuccessful so far in blocking the litigation. A trial date for Zwerner's lawsuit is slated for January.

Prosecutors had said a year ago that they were investigating whether the "actions or omissions" of any school employees could lead to criminal charges.

What schools can (and can't) do to prevent school shootings

Howard Gwynn, the commonwealth's attorney in Newport News, said in April 2023 that he had petitioned a special grand jury to probe if any "security failures" contributed to the shooting. Gwynn wrote that an investigation could also lead to recommendations "in the hopes that such a situation never occurs again."

It is not the first school shooting to spark a criminal investigation into school officials. For instance, a former school resource officer was acquitted of all charges last year after he was accused of hiding during the Parkland school massacre in 2018.

Chuck Vergon, a professor of educational law and policy at the University of Michigan-Flint, told The AP last year that it is rare for a teacher or school official to be charged in a school shooting because allegations of criminal negligence can be difficult to prove.

More often, he said, those impacted by school shootings seek to hold school officials liable in civil court.

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Case Study: How Aggressively Should a Bank Pursue AI?

• Thomas H. Davenport
• George Westerman

A Malaysia-based CEO weighs the risks and potential benefits of turning a traditional bank into an AI-first institution.

Siti Rahman, the CEO of Malaysia-based NVF Bank, faces a pivotal decision. Her head of AI innovation, a recent recruit from Google, has a bold plan. It requires a substantial investment but aims to transform the traditional bank into an AI-first institution, substantially reducing head count and the number of branches. The bank’s CFO worries they are chasing the next hype cycle and cautions against valuing efficiency above all else. Siti must weigh the bank’s mixed history with AI, the resistance to losing the human touch in banking services, and the risks of falling behind in technology against the need for a prudent, incremental approach to innovation.

Two experts offer advice: Noemie Ellezam-Danielo, the chief digital and AI strategy at Société Générale, and Sastry Durvasula, the chief information and client services officer at TIAA.

Siti Rahman, the CEO of Malaysia-headquartered NVF Bank, hurried through the corridors of the university’s computer engineering department. She had directed her driver to the wrong building—thinking of her usual talent-recruitment appearances in the finance department—and now she was running late. As she approached the room, she could hear her head of AI innovation, Michael Lim, who had joined NVF from Google 18 months earlier, breaking the ice with the students. “You know, NVF used to stand for Never Very Fast,” he said to a few giggles. “But the bank is crawling into the 21st century.”

• Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting scholar at the MIT Initiative on the Digital Economy, and a senior adviser to Deloitte’s AI practice. He is a coauthor of All-in on AI: How Smart Companies Win Big with Artificial Intelligence (Harvard Business Review Press, 2023).
• George Westerman is a senior lecturer at MIT Sloan School of Management and a coauthor of Leading Digital (HBR Press, 2014).

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