historical case study approaches

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Historical case study: A research strategy for diachronic analysis

2018, Library & Information Science Research

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Comparative Historical Analysis, A Methodological Perspective

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• First Online: 14 July 2020
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• Frank L. K. Ohemeng 2  

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Approximate ; Comparable ; Equivalent ; Provisional

Definitions

Comparative historical analysis is concerned with causal analysis, an emphasis on processes over time, and the use of systematic and contextualized comparison (Mahoney and Rueschemeyer 2003a ).

Comparative historical analysis is a field of research characterized by the use of systematic comparison and the analysis of processes over time to explain large-scale outcomes such as revolutions, political regimes, and welfare states. It can be distinguished from other approaches within historical sociology, such as rational choice analysis and interpretive analysis (Mahoney and Rueschemeyer 2003a ).

Introduction

Among ways of understanding social issues, one that has best stood the test of time is comparative historical analysis (CHA) (Lange 2013 ; Mahoney and Rueschemeyer 2003a ; Mahoney and Terrie 2008 ). Although it has been around as long as anyone can remember, it is, as a number of scholars have noted, only in the past 30...

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Frank L. K. Ohemeng

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Ohemeng, F.L.K. (2020). Comparative Historical Analysis, A Methodological Perspective. In: Farazmand, A. (eds) Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer, Cham. https://doi.org/10.1007/978-3-319-31816-5_1205-1

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• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, 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 analyze the case, other interesting articles.

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

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

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.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

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

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

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.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

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 analyze 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.

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

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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McCombes, S. (2023, November 20). What Is a Case Study? | Definition, Examples & Methods. Scribbr. Retrieved August 30, 2024, from https://www.scribbr.com/methodology/case-study/

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• DOI: 10.4471/HSE.2014.15
• Corpus ID: 145328670

The Power and Limitations of Historical Case Study: A Consideration of Postwar African American Educational Experience

• Published in Social and Education History 23 October 2014
• Education, History, Sociology
• Social and Education History

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Understanding the mechanisms of administrative burden through a within-case study of medicaid expansion implementation, mathematics in 18th century spanish daily press. the early years of diario de barcelona, 99 references, the african american struggle for secondary schooling, 1940-1980: closing the graduation gap, paradoxes of desegregation: african american struggles for educational equity in charleston, south carolina, 1926-1972, the elusive ideal: equal educational opportunity and the federal role in boston's public schools, 1950-1985, the elusive ideal: equal educational opportunity and the federal role, the costs of brown: black teachers and school integration, from “culturally deprived” to “at risk”: the politics of popular expression and educational inequality in the united states, 1960-1985, brown in baltimore: school desegregation and the limits of liberalism, race and the politics of chicago’s public schools: benjamin willis and the tragedy of urban education, urban education and the “truly disadvantaged”: the historical roots of the contemporary crisis, 1945–1990, teachers and reform: chicago public education, 1929-1970, related papers.

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...qualitative research helps to understand human experience and meaning within a given context using text rather than numbers, interpreting experience and meaning to generate understanding, and recognizing the role of the researcher in the construction of knowledge.

We use a Qualitative Research Framework as proposed by Carter and Little (2007, pp. 1316) (figure below) founded on epistemology, methodology and method, and their interrelationships:

Epistemology guides methodological choices and is axiological. Methodology shapes and is shaped by research objectives, questions, and study design. Methodologies can prescribe choices of method, resonate with particular academic disciplines, and encourage or discourage the use and/or development of theory. Method is constrained by and makes visible methodological and epistemic choices.

...hard skills [Positivism] are focused on the administrative tasks, in particular the use of the toolsets within project management, and associated with a hard systems worldview. Soft skills [Interprevitism] enable working through and with people and groups, and with that, handling the associated human factors. (Maylor and Söderlund, 2012, pp. 689)

As part of our approach there are two primary research methodologies, case study research and historiography advocated for researching historical management and project management. Both have been used extensively for LFH publications. Knowledge of the past can inform our future actions, so it is necessary that the interpretation of history is based on sound historiographical techniques and judgements. A third supportive methodology interdisciplinarity has been used with more recent publications to guide the research.

The research can be used to discover patterns in different historical case studies.

According to Petty et al (2012, pp.269):

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Home » Historical Research – Types, Methods and Examples

Historical Research – Types, Methods and Examples

Table of Contents

Historical Research

Definition:

Historical research is the process of investigating and studying past events, people, and societies using a variety of sources and methods. This type of research aims to reconstruct and interpret the past based on the available evidence.

Types of Historical Research

There are several types of historical research, including:

Descriptive Research

This type of historical research focuses on describing events, people, or cultures in detail. It can involve examining artifacts, documents, or other sources of information to create a detailed account of what happened or existed.

Analytical Research

This type of historical research aims to explain why events, people, or cultures occurred in a certain way. It involves analyzing data to identify patterns, causes, and effects, and making interpretations based on this analysis.

Comparative Research

This type of historical research involves comparing two or more events, people, or cultures to identify similarities and differences. This can help researchers understand the unique characteristics of each and how they interacted with each other.

Interpretive Research

This type of historical research focuses on interpreting the meaning of past events, people, or cultures. It can involve analyzing cultural symbols, beliefs, and practices to understand their significance in a particular historical context.

Quantitative Research

This type of historical research involves using statistical methods to analyze historical data. It can involve examining demographic information, economic indicators, or other quantitative data to identify patterns and trends.

Qualitative Research

This type of historical research involves examining non-numerical data such as personal accounts, letters, or diaries. It can provide insights into the experiences and perspectives of individuals during a particular historical period.

Data Collection Methods

Data Collection Methods are as follows:

• Archival research : This involves analyzing documents and records that have been preserved over time, such as government records, diaries, letters, newspapers, and photographs. Archival research is often conducted in libraries, archives, and museums.
• Oral history : This involves conducting interviews with individuals who have lived through a particular historical period or event. Oral history can provide a unique perspective on past events and can help to fill gaps in the historical record.
• Artifact analysis: This involves examining physical objects from the past, such as tools, clothing, and artwork, to gain insights into past cultures and practices.
• Secondary sources: This involves analyzing published works, such as books, articles, and academic papers, that discuss past events and cultures. Secondary sources can provide context and insights into the historical period being studied.
• Statistical analysis : This involves analyzing numerical data from the past, such as census records or economic data, to identify patterns and trends.
• Fieldwork : This involves conducting on-site research in a particular location, such as visiting a historical site or conducting ethnographic research in a particular community. Fieldwork can provide a firsthand understanding of the culture and environment being studied.
• Content analysis: This involves analyzing the content of media from the past, such as films, television programs, and advertisements, to gain insights into cultural attitudes and beliefs.

Data Analysis Methods

• Content analysis : This involves analyzing the content of written or visual material, such as books, newspapers, or photographs, to identify patterns and themes. Content analysis can be used to identify changes in cultural values and beliefs over time.
• Textual analysis : This involves analyzing written texts, such as letters or diaries, to understand the experiences and perspectives of individuals during a particular historical period. Textual analysis can provide insights into how people lived and thought in the past.
• Discourse analysis : This involves analyzing how language is used to construct meaning and power relations in a particular historical period. Discourse analysis can help to identify how social and political ideologies were constructed and maintained over time.
• Statistical analysis: This involves using statistical methods to analyze numerical data, such as census records or economic data, to identify patterns and trends. Statistical analysis can help to identify changes in population demographics, economic conditions, and other factors over time.
• Comparative analysis : This involves comparing data from two or more historical periods or events to identify similarities and differences. Comparative analysis can help to identify patterns and trends that may not be apparent from analyzing data from a single historical period.
• Qualitative analysis: This involves analyzing non-numerical data, such as oral history interviews or ethnographic field notes, to identify themes and patterns. Qualitative analysis can provide a rich understanding of the experiences and perspectives of individuals in the past.

Historical Research Methodology

Here are the general steps involved in historical research methodology:

• Define the research question: Start by identifying a research question that you want to answer through your historical research. This question should be focused, specific, and relevant to your research goals.
• Review the literature: Conduct a review of the existing literature on the topic of your research question. This can involve reading books, articles, and academic papers to gain a thorough understanding of the existing research.
• Develop a research design : Develop a research design that outlines the methods you will use to collect and analyze data. This design should be based on the research question and should be feasible given the resources and time available.
• Collect data: Use the methods outlined in your research design to collect data on past events, people, and cultures. This can involve archival research, oral history interviews, artifact analysis, and other data collection methods.
• Analyze data : Analyze the data you have collected using the methods outlined in your research design. This can involve content analysis, textual analysis, statistical analysis, and other data analysis methods.
• Interpret findings : Use the results of your data analysis to draw meaningful insights and conclusions related to your research question. These insights should be grounded in the data and should be relevant to the research goals.
• Communicate results: Communicate your findings through a research report, academic paper, or other means. This should be done in a clear, concise, and well-organized manner, with appropriate citations and references to the literature.

Applications of Historical Research

Historical research has a wide range of applications in various fields, including:

• Education : Historical research can be used to develop curriculum materials that reflect a more accurate and inclusive representation of history. It can also be used to provide students with a deeper understanding of past events and cultures.
• Museums : Historical research is used to develop exhibits, programs, and other materials for museums. It can provide a more accurate and engaging presentation of historical events and artifacts.
• Public policy : Historical research is used to inform public policy decisions by providing insights into the historical context of current issues. It can also be used to evaluate the effectiveness of past policies and programs.
• Business : Historical research can be used by businesses to understand the evolution of their industry and to identify trends that may affect their future success. It can also be used to develop marketing strategies that resonate with customers’ historical interests and values.
• Law : Historical research is used in legal proceedings to provide evidence and context for cases involving historical events or practices. It can also be used to inform the development of new laws and policies.
• Genealogy : Historical research can be used by individuals to trace their family history and to understand their ancestral roots.
• Cultural preservation : Historical research is used to preserve cultural heritage by documenting and interpreting past events, practices, and traditions. It can also be used to identify and preserve historical landmarks and artifacts.

Examples of Historical Research

Examples of Historical Research are as follows:

• Examining the history of race relations in the United States: Historical research could be used to explore the historical roots of racial inequality and injustice in the United States. This could help inform current efforts to address systemic racism and promote social justice.
• Tracing the evolution of political ideologies: Historical research could be used to study the development of political ideologies over time. This could help to contextualize current political debates and provide insights into the origins and evolution of political beliefs and values.
• Analyzing the impact of technology on society : Historical research could be used to explore the impact of technology on society over time. This could include examining the impact of previous technological revolutions (such as the industrial revolution) on society, as well as studying the current impact of emerging technologies on society and the environment.
• Documenting the history of marginalized communities : Historical research could be used to document the history of marginalized communities (such as LGBTQ+ communities or indigenous communities). This could help to preserve cultural heritage, promote social justice, and promote a more inclusive understanding of history.

Purpose of Historical Research

The purpose of historical research is to study the past in order to gain a better understanding of the present and to inform future decision-making. Some specific purposes of historical research include:

• To understand the origins of current events, practices, and institutions : Historical research can be used to explore the historical roots of current events, practices, and institutions. By understanding how things developed over time, we can gain a better understanding of the present.
• To develop a more accurate and inclusive understanding of history : Historical research can be used to correct inaccuracies and biases in historical narratives. By exploring different perspectives and sources of information, we can develop a more complete and nuanced understanding of history.
• To inform decision-making: Historical research can be used to inform decision-making in various fields, including education, public policy, business, and law. By understanding the historical context of current issues, we can make more informed decisions about how to address them.
• To preserve cultural heritage : Historical research can be used to document and preserve cultural heritage, including traditions, practices, and artifacts. By understanding the historical significance of these cultural elements, we can work to preserve them for future generations.
• To stimulate curiosity and critical thinking: Historical research can be used to stimulate curiosity and critical thinking about the past. By exploring different historical perspectives and interpretations, we can develop a more critical and reflective approach to understanding history and its relevance to the present.

When to use Historical Research

Historical research can be useful in a variety of contexts. Here are some examples of when historical research might be particularly appropriate:

• When examining the historical roots of current events: Historical research can be used to explore the historical roots of current events, practices, and institutions. By understanding how things developed over time, we can gain a better understanding of the present.
• When examining the historical context of a particular topic : Historical research can be used to explore the historical context of a particular topic, such as a social issue, political debate, or scientific development. By understanding the historical context, we can gain a more nuanced understanding of the topic and its significance.
• When exploring the evolution of a particular field or discipline : Historical research can be used to explore the evolution of a particular field or discipline, such as medicine, law, or art. By understanding the historical development of the field, we can gain a better understanding of its current state and future directions.
• When examining the impact of past events on current society : Historical research can be used to examine the impact of past events (such as wars, revolutions, or social movements) on current society. By understanding the historical context and impact of these events, we can gain insights into current social and political issues.
• When studying the cultural heritage of a particular community or group : Historical research can be used to document and preserve the cultural heritage of a particular community or group. By understanding the historical significance of cultural practices, traditions, and artifacts, we can work to preserve them for future generations.

Characteristics of Historical Research

The following are some characteristics of historical research:

• Focus on the past : Historical research focuses on events, people, and phenomena of the past. It seeks to understand how things developed over time and how they relate to current events.
• Reliance on primary sources: Historical research relies on primary sources such as letters, diaries, newspapers, government documents, and other artifacts from the period being studied. These sources provide firsthand accounts of events and can help researchers gain a more accurate understanding of the past.
• Interpretation of data : Historical research involves interpretation of data from primary sources. Researchers analyze and interpret data to draw conclusions about the past.
• Use of multiple sources: Historical research often involves using multiple sources of data to gain a more complete understanding of the past. By examining a range of sources, researchers can cross-reference information and validate their findings.
• Importance of context: Historical research emphasizes the importance of context. Researchers analyze the historical context in which events occurred and consider how that context influenced people’s actions and decisions.
• Subjectivity : Historical research is inherently subjective, as researchers interpret data and draw conclusions based on their own perspectives and biases. Researchers must be aware of their own biases and strive for objectivity in their analysis.
• Importance of historical significance: Historical research emphasizes the importance of historical significance. Researchers consider the historical significance of events, people, and phenomena and their impact on the present and future.
• Use of qualitative methods : Historical research often uses qualitative methods such as content analysis, discourse analysis, and narrative analysis to analyze data and draw conclusions about the past.

Advantages of Historical Research

There are several advantages to historical research:

• Provides a deeper understanding of the past : Historical research can provide a more comprehensive understanding of past events and how they have shaped current social, political, and economic conditions. This can help individuals and organizations make informed decisions about the future.
• Helps preserve cultural heritage: Historical research can be used to document and preserve cultural heritage. By studying the history of a particular culture, researchers can gain insights into the cultural practices and beliefs that have shaped that culture over time.
• Provides insights into long-term trends : Historical research can provide insights into long-term trends and patterns. By studying historical data over time, researchers can identify patterns and trends that may be difficult to discern from short-term data.
• Facilitates the development of hypotheses: Historical research can facilitate the development of hypotheses about how past events have influenced current conditions. These hypotheses can be tested using other research methods, such as experiments or surveys.
• Helps identify root causes of social problems : Historical research can help identify the root causes of social problems. By studying the historical context in which these problems developed, researchers can gain a better understanding of how they emerged and what factors may have contributed to their development.
• Provides a source of inspiration: Historical research can provide a source of inspiration for individuals and organizations seeking to address current social, political, and economic challenges. By studying the accomplishments and struggles of past generations, researchers can gain insights into how to address current challenges.

Limitations of Historical Research

Some Limitations of Historical Research are as follows:

• Reliance on incomplete or biased data: Historical research is often limited by the availability and quality of data. Many primary sources have been lost, destroyed, or are inaccessible, making it difficult to get a complete picture of historical events. Additionally, some primary sources may be biased or represent only one perspective on an event.
• Difficulty in generalizing findings: Historical research is often specific to a particular time and place and may not be easily generalized to other contexts. This makes it difficult to draw broad conclusions about human behavior or social phenomena.
• Lack of control over variables : Historical research often lacks control over variables. Researchers cannot manipulate or control historical events, making it difficult to establish cause-and-effect relationships.
• Subjectivity of interpretation : Historical research is often subjective because researchers must interpret data and draw conclusions based on their own biases and perspectives. Different researchers may interpret the same data differently, leading to different conclusions.
• Limited ability to test hypotheses: Historical research is often limited in its ability to test hypotheses. Because the events being studied have already occurred, researchers cannot manipulate variables or conduct experiments to test their hypotheses.
• Lack of objectivity: Historical research is often subjective, and researchers must be aware of their own biases and strive for objectivity in their analysis. However, it can be difficult to maintain objectivity when studying events that are emotionally charged or controversial.
• Limited generalizability: Historical research is often limited in its generalizability, as the events and conditions being studied may be specific to a particular time and place. This makes it difficult to draw broad conclusions that apply to other contexts or time periods.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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The History of the Case Study at Harvard Business School

• 28 Feb 2017

Many first-time HBS Online participants are surprised to learn that, often, the professor is not at the center of their learning experience. Instead of long faculty lectures, the HBS Online learning model centers on smaller, more digestible pieces of content that require participants to interact with each other, test concepts, and learn from real-world examples.

Often, the professor fades into the background and lets the focus shift to interviews with executives, industry leaders, and small business owners. Some students might be left thinking, "Wait, where did that professor go? Why am I learning about a grocery store in Harvard Square?"

In the words of The Hitchhiker's Guide to the Galaxy , “Don’t panic.” These interviews, or cases, feature leaders at companies of all sizes and provide valuable examples of business concepts in action. This case study method forms the backbone of the Harvard Business School curriculum.

Back in the 1920s, HBS professors decided to develop and experiment with innovative and unique business instruction methods. As the first school in the world to design a signature, distinctive program in business, later to be called the MBA, there was a need for a teaching method that would benefit this novel approach.

HBS professors selected and took a few pages to summarize recent events, momentous challenges, strategic planning, and important decisions undertaken by major companies and organizations. The idea was, and remains to this day, that through direct contact with a real-world case, students will think independently about those facts, discuss and compare their perspectives and findings with their peers, and eventually discover a new concept on their own.

Central to the case method is the idea that students are not provided the "answer" or resolution to the problem at hand. Instead, just like a board member, CEO, or manager, the student is forced to analyze a situation and find solutions without full knowledge of all methods and facts. Without excluding more traditional aspects, such as interaction with professors and textbooks, the case method provides the student with the opportunity to think and act like managers.

Since 1924, the case method has been the most widely applied and successful teaching instrument to come out of HBS, and it is used today in almost all MBA and Executive Education courses there, as well as in hundreds of other top business schools around the world. The application of the case method is so extensive that HBS students will often choose to rely on cases, instead of textbooks or other material, for their research. Large corporations use the case method as well to approach their own challenges, while competing universities create their own versions for their students.

This is what the case method does—it puts students straight into the game, and ensures they acquire not just skills and abstract knowledge, but also a solid understanding of the outside world.

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Methodologic and Data-Analysis Triangulation in Case Studies: A Scoping Review

Margarithe charlotte schlunegger.

1 Department of Health Professions, Applied Research & Development in Nursing, Bern University of Applied Sciences, Bern, Switzerland

2 Faculty of Health, School of Nursing Science, Witten/Herdecke University, Witten, Germany

Maya Zumstein-Shaha

Rebecca palm.

3 Department of Health Care Research, Carl von Ossietzky University Oldenburg, Oldenburg, Germany

Associated Data

Supplemental material, sj-docx-1-wjn-10.1177_01939459241263011 for Methodologic and Data-Analysis Triangulation in Case Studies: A Scoping Review by Margarithe Charlotte Schlunegger, Maya Zumstein-Shaha and Rebecca Palm in Western Journal of Nursing Research

We sought to explore the processes of methodologic and data-analysis triangulation in case studies using the example of research on nurse practitioners in primary health care.

Design and methods:

We conducted a scoping review within Arksey and O’Malley’s methodological framework, considering studies that defined a case study design and used 2 or more data sources, published in English or German before August 2023.

Data sources:

The databases searched were MEDLINE and CINAHL, supplemented with hand searching of relevant nursing journals. We also examined the reference list of all the included studies.

In total, 63 reports were assessed for eligibility. Ultimately, we included 8 articles. Five studies described within-method triangulation, whereas 3 provided information on between/across-method triangulation. No study reported within-method triangulation of 2 or more quantitative data-collection procedures. The data-collection procedures were interviews, observation, documentation/documents, service records, and questionnaires/assessments. The data-analysis triangulation involved various qualitative and quantitative methods of analysis. Details about comparing or contrasting results from different qualitative and mixed-methods data were lacking.

Conclusions:

Various processes for methodologic and data-analysis triangulation are described in this scoping review but lack detail, thus hampering standardization in case study research, potentially affecting research traceability. Triangulation is complicated by terminological confusion. To advance case study research in nursing, authors should reflect critically on the processes of triangulation and employ existing tools, like a protocol or mixed-methods matrix, for transparent reporting. The only existing reporting guideline should be complemented with directions on methodologic and data-analysis triangulation.

Case study research is defined as “an empirical method that investigates a contemporary phenomenon (the ‘case’) in depth and within its real-world context, especially when the boundaries between phenomenon and context may not be clearly evident. A case study relies on multiple sources of evidence, with data needing to converge in a triangulating fashion.” 1 (p15) This design is described as a stand-alone research approach equivalent to grounded theory and can entail single and multiple cases. 1 , 2 However, case study research should not be confused with single clinical case reports. “Case reports are familiar ways of sharing events of intervening with single patients with previously unreported features.” 3 (p107) As a methodology, case study research encompasses substantially more complexity than a typical clinical case report. 1 , 3

A particular characteristic of case study research is the use of various data sources, such as quantitative data originating from questionnaires as well as qualitative data emerging from interviews, observations, or documents. Therefore, a case study always draws on multiple sources of evidence, and the data must converge in a triangulating manner. 1 When using multiple data sources, a case or cases can be examined more convincingly and accurately, compensating for the weaknesses of the respective data sources. 1 Another characteristic is the interaction of various perspectives. This involves comparing or contrasting perspectives of people with different points of view, eg, patients, staff, or leaders. 4 Through triangulation, case studies contribute to the completeness of the research on complex topics, such as role implementation in clinical practice. 1 , 5 Triangulation involves a combination of researchers from various disciplines, of theories, of methods, and/or of data sources. By creating connections between these sources (ie, investigator, theories, methods, data sources, and/or data analysis), a new understanding of the phenomenon under study can be obtained. 6 , 7

This scoping review focuses on methodologic and data-analysis triangulation because concrete procedures are missing, eg, in reporting guidelines. Methodologic triangulation has been called methods, mixed methods, or multimethods. 6 It can encompass within-method triangulation and between/across-method triangulation. 7 “Researchers using within-method triangulation use at least 2 data-collection procedures from the same design approach.” 6 (p254) Within-method triangulation is either qualitative or quantitative but not both. Therefore, within-method triangulation can also be considered data source triangulation. 8 In contrast, “researchers using between/across-method triangulation employ both qualitative and quantitative data-collection methods in the same study.” 6 (p254) Hence, methodologic approaches are combined as well as various data sources. For this scoping review, the term “methodologic triangulation” is maintained to denote between/across-method triangulation. “Data-analysis triangulation is the combination of 2 or more methods of analyzing data.” 6 (p254)

Although much has been published on case studies, there is little consensus on the quality of the various data sources, the most appropriate methods, or the procedures for conducting methodologic and data-analysis triangulation. 5 According to the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) clearinghouse for reporting guidelines, one standard exists for organizational case studies. 9 Organizational case studies provide insights into organizational change in health care services. 9 Rodgers et al 9 pointed out that, although high-quality studies are being funded and published, they are sometimes poorly articulated and methodologically inadequate. In the reporting checklist by Rodgers et al, 9 a description of the data collection is included, but reporting directions on methodologic and data-analysis triangulation are missing. Therefore, the purpose of this study was to examine the process of methodologic and data-analysis triangulation in case studies. Accordingly, we conducted a scoping review to elicit descriptions of and directions for triangulation methods and analysis, drawing on case studies of nurse practitioners (NPs) in primary health care as an example. Case studies are recommended to evaluate the implementation of new roles in (primary) health care, such as that of NPs. 1 , 5 Case studies on new role implementation can generate a unique and in-depth understanding of specific roles (individual), teams (smaller groups), family practices or similar institutions (organization), and social and political processes in health care systems. 1 , 10 The integration of NPs into health care systems is at different stages of progress around the world. 11 Therefore, studies are needed to evaluate this process.

The methodological framework by Arksey and O’Malley 12 guided this scoping review. We examined the current scientific literature on the use of methodologic and data-analysis triangulation in case studies on NPs in primary health care. The review process included the following stages: (1) establishing the research question; (2) identifying relevant studies; (3) selecting the studies for inclusion; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consulting experts in the field. 12 Stage 6 was not performed due to a lack of financial resources. The reporting of the review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review) guideline by Tricco et al 13 (guidelines for reporting systematic reviews and meta-analyses [ Supplementary Table A ]). Scoping reviews are not eligible for registration in PROSPERO.

Stage 1: Establishing the Research Question

The aim of this scoping review was to examine the process of triangulating methods and analysis in case studies on NPs in primary health care to improve the reporting. We sought to answer the following question: How have methodologic and data-analysis triangulation been conducted in case studies on NPs in primary health care? To answer the research question, we examined the following elements of the selected studies: the research question, the study design, the case definition, the selected data sources, and the methodologic and data-analysis triangulation.

Stage 2: Identifying Relevant Studies

A systematic database search was performed in the MEDLINE (via PubMed) and CINAHL (via EBSCO) databases between July and September 2020 to identify relevant articles. The following terms were used as keyword search strategies: (“Advanced Practice Nursing” OR “nurse practitioners”) AND (“primary health care” OR “Primary Care Nursing”) AND (“case study” OR “case studies”). Searches were limited to English- and German-language articles. Hand searches were conducted in the journals Nursing Inquiry , BMJ Open , and BioMed Central ( BMC ). We also screened the reference lists of the studies included. The database search was updated in August 2023. The complete search strategy for all the databases is presented in Supplementary Table B .

Stage 3: Selecting the Studies

Inclusion and exclusion criteria.

We used the inclusion and exclusion criteria reported in Table 1 . We included studies of NPs who had at least a master’s degree in nursing according to the definition of the International Council of Nurses. 14 This scoping review considered studies that were conducted in primary health care practices in rural, urban, and suburban regions. We excluded reviews and study protocols in which no data collection had occurred. Articles were included without limitations on the time period or country of origin.

Inclusion and Exclusion Criteria.

Screening process

After the search, we collated and uploaded all the identified records into EndNote v.X8 (Clarivate Analytics, Philadelphia, Pennsylvania) and removed any duplicates. Two independent reviewers (MCS and SA) screened the titles and abstracts for assessment in line with the inclusion criteria. They retrieved and assessed the full texts of the selected studies while applying the inclusion criteria. Any disagreements about the eligibility of studies were resolved by discussion or, if no consensus could be reached, by involving experienced researchers (MZ-S and RP).

Stages 4 and 5: Charting the Data and Collating, Summarizing, and Reporting the Results

The first reviewer (MCS) extracted data from the selected publications. For this purpose, an extraction tool developed by the authors was used. This tool comprised the following criteria: author(s), year of publication, country, research question, design, case definition, data sources, and methodologic and data-analysis triangulation. First, we extracted and summarized information about the case study design. Second, we narratively summarized the way in which the data and methodological triangulation were described. Finally, we summarized the information on within-case or cross-case analysis. This process was performed using Microsoft Excel. One reviewer (MCS) extracted data, whereas another reviewer (SA) cross-checked the data extraction, making suggestions for additions or edits. Any disagreements between the reviewers were resolved through discussion.

A total of 149 records were identified in 2 databases. We removed 20 duplicates and screened 129 reports by title and abstract. A total of 46 reports were assessed for eligibility. Through hand searches, we identified 117 additional records. Of these, we excluded 98 reports after title and abstract screening. A total of 17 reports were assessed for eligibility. From the 2 databases and the hand search, 63 reports were assessed for eligibility. Ultimately, we included 8 articles for data extraction. No further articles were included after the reference list screening of the included studies. A PRISMA flow diagram of the study selection and inclusion process is presented in Figure 1 . As shown in Tables 2 and ​ and3, 3 , the articles included in this scoping review were published between 2010 and 2022 in Canada (n = 3), the United States (n = 2), Australia (n = 2), and Scotland (n = 1).

PRISMA flow diagram.

Characteristics of Articles Included.

Overview of Within-Method, Between/Across-Method, and Data-Analysis Triangulation.

Research Question, Case Definition, and Case Study Design

The following sections describe the research question, case definition, and case study design. Case studies are most appropriate when asking “how” or “why” questions. 1 According to Yin, 1 how and why questions are explanatory and lead to the use of case studies, histories, and experiments as the preferred research methods. In 1 study from Canada, eg, the following research question was presented: “How and why did stakeholders participate in the system change process that led to the introduction of the first nurse practitioner-led Clinic in Ontario?” (p7) 19 Once the research question has been formulated, the case should be defined and, subsequently, the case study design chosen. 1 In typical case studies with mixed methods, the 2 types of data are gathered concurrently in a convergent design and the results merged to examine a case and/or compare multiple cases. 10

Research question

“How” or “why” questions were found in 4 studies. 16 , 17 , 19 , 22 Two studies additionally asked “what” questions. Three studies described an exploratory approach, and 1 study presented an explanatory approach. Of these 4 studies, 3 studies chose a qualitative approach 17 , 19 , 22 and 1 opted for mixed methods with a convergent design. 16

In the remaining studies, either the research questions were not clearly stated or no “how” or “why” questions were formulated. For example, “what” questions were found in 1 study. 21 No information was provided on exploratory, descriptive, and explanatory approaches. Schadewaldt et al 21 chose mixed methods with a convergent design.

Case definition and case study design

A total of 5 studies defined the case as an organizational unit. 17 , 18 - 20 , 22 Of the 8 articles, 4 reported multiple-case studies. 16 , 17 , 22 , 23 Another 2 publications involved single-case studies. 19 , 20 Moreover, 2 publications did not state the case study design explicitly.

Within-Method Triangulation

This section describes within-method triangulation, which involves employing at least 2 data-collection procedures within the same design approach. 6 , 7 This can also be called data source triangulation. 8 Next, we present the single data-collection procedures in detail. In 5 studies, information on within-method triangulation was found. 15 , 17 - 19 , 22 Studies describing a quantitative approach and the triangulation of 2 or more quantitative data-collection procedures could not be included in this scoping review.

Qualitative approach

Five studies used qualitative data-collection procedures. Two studies combined face-to-face interviews and documents. 15 , 19 One study mixed in-depth interviews with observations, 18 and 1 study combined face-to-face interviews and documentation. 22 One study contained face-to-face interviews, observations, and documentation. 17 The combination of different qualitative data-collection procedures was used to present the case context in an authentic and complex way, to elicit the perspectives of the participants, and to obtain a holistic description and explanation of the cases under study.

All 5 studies used qualitative interviews as the primary data-collection procedure. 15 , 17 - 19 , 22 Face-to-face, in-depth, and semi-structured interviews were conducted. The topics covered in the interviews included processes in the introduction of new care services and experiences of barriers and facilitators to collaborative work in general practices. Two studies did not specify the type of interviews conducted and did not report sample questions. 15 , 18

Observations

In 2 studies, qualitative observations were carried out. 17 , 18 During the observations, the physical design of the clinical patients’ rooms and office spaces was examined. 17 Hungerford et al 18 did not explain what information was collected during the observations. In both studies, the type of observation was not specified. Observations were generally recorded as field notes.

Public documents

In 3 studies, various qualitative public documents were studied. 15 , 19 , 22 These documents included role description, education curriculum, governance frameworks, websites, and newspapers with information about the implementation of the role and general practice. Only 1 study failed to specify the type of document and the collected data. 15

Electronic health records

In 1 study, qualitative documentation was investigated. 17 This included a review of dashboards (eg, provider productivity reports or provider quality dashboards in the electronic health record) and quality performance reports (eg, practice-wide or co-management team-wide performance reports).

Between/Across-Method Triangulation

This section describes the between/across methods, which involve employing both qualitative and quantitative data-collection procedures in the same study. 6 , 7 This procedure can also be denoted “methodologic triangulation.” 8 Subsequently, we present the individual data-collection procedures. In 3 studies, information on between/across triangulation was found. 16 , 20 , 21

Mixed methods

Three studies used qualitative and quantitative data-collection procedures. One study combined face-to-face interviews, documentation, and self-assessments. 16 One study employed semi-structured interviews, direct observation, documents, and service records, 20 and another study combined face-to-face interviews, non-participant observation, documents, and questionnaires. 23

All 3 studies used qualitative interviews as the primary data-collection procedure. 16 , 20 , 23 Face-to-face and semi-structured interviews were conducted. In the interviews, data were collected on the introduction of new care services and experiences of barriers to and facilitators of collaborative work in general practices.

Observation

In 2 studies, direct and non-participant qualitative observations were conducted. 20 , 23 During the observations, the interaction between health professionals or the organization and the clinical context was observed. Observations were generally recorded as field notes.

In 2 studies, various qualitative public documents were examined. 20 , 23 These documents included role description, newspapers, websites, and practice documents (eg, flyers). In the documents, information on the role implementation and role description of NPs was collected.

Individual journals

In 1 study, qualitative individual journals were studied. 16 These included reflective journals from NPs, who performed the role in primary health care.

Service records

Only 1 study involved quantitative service records. 20 These service records were obtained from the primary care practices and the respective health authorities. They were collected before and after the implementation of an NP role to identify changes in patients’ access to health care, the volume of patients served, and patients’ use of acute care services.

Questionnaires/Assessment

In 2 studies, quantitative questionnaires were used to gather information about the teams’ satisfaction with collaboration. 16 , 21 In 1 study, 3 validated scales were used. The scales measured experience, satisfaction, and belief in the benefits of collaboration. 21 Psychometric performance indicators of these scales were provided. However, the time points of data collection were not specified; similarly, whether the questionnaires were completed online or by hand was not mentioned. A competency self-assessment tool was used in another study. 16 The assessment comprised 70 items and included topics such as health promotion, protection, disease prevention and treatment, the NP-patient relationship, the teaching-coaching function, the professional role, managing and negotiating health care delivery systems, monitoring and ensuring the quality of health care practice, and cultural competence. Psychometric performance indicators were provided. The assessment was completed online with 2 measurement time points (pre self-assessment and post self-assessment).

Data-Analysis Triangulation

This section describes data-analysis triangulation, which involves the combination of 2 or more methods of analyzing data. 6 Subsequently, we present within-case analysis and cross-case analysis.

Mixed-methods analysis

Three studies combined qualitative and quantitative methods of analysis. 16 , 20 , 21 Two studies involved deductive and inductive qualitative analysis, and qualitative data were analyzed thematically. 20 , 21 One used deductive qualitative analysis. 16 The method of analysis was not specified in the studies. Quantitative data were analyzed using descriptive statistics in 3 studies. 16 , 20 , 23 The descriptive statistics comprised the calculation of the mean, median, and frequencies.

Qualitative methods of analysis

Two studies combined deductive and inductive qualitative analysis, 19 , 22 and 2 studies only used deductive qualitative analysis. 15 , 18 Qualitative data were analyzed thematically in 1 study, 22 and data were treated with content analysis in the other. 19 The method of analysis was not specified in the 2 studies.

Within-case analysis

In 7 studies, a within-case analysis was performed. 15 - 20 , 22 Six studies used qualitative data for the within-case analysis, and 1 study employed qualitative and quantitative data. Data were analyzed separately, consecutively, or in parallel. The themes generated from qualitative data were compared and then summarized. The individual cases were presented mostly as a narrative description. Quantitative data were integrated into the qualitative description with tables and graphs. Qualitative and quantitative data were also presented as a narrative description.

Cross-case analyses

Of the multiple-case studies, 5 carried out cross-case analyses. 15 - 17 , 20 , 22 Three studies described the cross-case analysis using qualitative data. Two studies reported a combination of qualitative and quantitative data for the cross-case analysis. In each multiple-case study, the individual cases were contrasted to identify the differences and similarities between the cases. One study did not specify whether a within-case or a cross-case analysis was conducted. 23

Confirmation or contradiction of data

This section describes confirmation or contradiction through qualitative and quantitative data. 1 , 4 Qualitative and quantitative data were reported separately, with little connection between them. As a result, the conclusions on neither the comparisons nor the contradictions could be clearly determined.

Confirmation or contradiction among qualitative data

In 3 studies, the consistency of the results of different types of qualitative data was highlighted. 16 , 19 , 21 In particular, documentation and interviews or interviews and observations were contrasted:

• Confirmation between interviews and documentation: The data from these sources corroborated the existence of a common vision for an NP-led clinic. 19
• Confirmation among interviews and observation: NPs experienced pressure to find and maintain their position within the existing system. Nurse practitioners and general practitioners performed complete episodes of care, each without collaborative interaction. 21
• Contradiction among interviews and documentation: For example, interviewees mentioned that differentiating the scope of practice between NPs and physicians is difficult as there are too many areas of overlap. However, a clear description of the scope of practice for the 2 roles was provided. 21

Confirmation through a combination of qualitative and quantitative data

Both types of data showed that NPs and general practitioners wanted to have more time in common to discuss patient cases and engage in personal exchanges. 21 In addition, the qualitative and quantitative data confirmed the individual progression of NPs from less competent to more competent. 16 One study pointed out that qualitative and quantitative data obtained similar results for the cases. 20 For example, integrating NPs improved patient access by increasing appointment availability.

Contradiction through a combination of qualitative and quantitative data

Although questionnaire results indicated that NPs and general practitioners experienced high levels of collaboration and satisfaction with the collaborative relationship, the qualitative results drew a more ambivalent picture of NPs’ and general practitioners’ experiences with collaboration. 21

Research Question and Design

The studies included in this scoping review evidenced various research questions. The recommended formats (ie, how or why questions) were not applied consistently. Therefore, no case study design should be applied because the research question is the major guide for determining the research design. 2 Furthermore, case definitions and designs were applied variably. The lack of standardization is reflected in differences in the reporting of these case studies. Generally, case study research is viewed as allowing much more freedom and flexibility. 5 , 24 However, this flexibility and the lack of uniform specifications lead to confusion.

Methodologic Triangulation

Methodologic triangulation, as described in the literature, can be somewhat confusing as it can refer to either data-collection methods or research designs. 6 , 8 For example, methodologic triangulation can allude to qualitative and quantitative methods, indicating a paradigmatic connection. Methodologic triangulation can also point to qualitative and quantitative data-collection methods, analysis, and interpretation without specific philosophical stances. 6 , 8 Regarding “data-collection methods with no philosophical stances,” we would recommend using the wording “data source triangulation” instead. Thus, the demarcation between the method and the data-collection procedures will be clearer.

Within-Method and Between/Across-Method Triangulation

Yin 1 advocated the use of multiple sources of evidence so that a case or cases can be investigated more comprehensively and accurately. Most studies included multiple data-collection procedures. Five studies employed a variety of qualitative data-collection procedures, and 3 studies used qualitative and quantitative data-collection procedures (mixed methods). In contrast, no study contained 2 or more quantitative data-collection procedures. In particular, quantitative data-collection procedures—such as validated, reliable questionnaires, scales, or assessments—were not used exhaustively. The prerequisites for using multiple data-collection procedures are availability, the knowledge and skill of the researcher, and sufficient financial funds. 1 To meet these prerequisites, research teams consisting of members with different levels of training and experience are necessary. Multidisciplinary research teams need to be aware of the strengths and weaknesses of different data sources and collection procedures. 1

Qualitative methods of analysis and results

When using multiple data sources and analysis methods, it is necessary to present the results in a coherent manner. Although the importance of multiple data sources and analysis has been emphasized, 1 , 5 the description of triangulation has tended to be brief. Thus, traceability of the research process is not always ensured. The sparse description of the data-analysis triangulation procedure may be due to the limited number of words in publications or the complexity involved in merging the different data sources.

Only a few concrete recommendations regarding the operationalization of the data-analysis triangulation with the qualitative data process were found. 25 A total of 3 approaches have been proposed 25 : (1) the intuitive approach, in which researchers intuitively connect information from different data sources; (2) the procedural approach, in which each comparative or contrasting step in triangulation is documented to ensure transparency and replicability; and (3) the intersubjective approach, which necessitates a group of researchers agreeing on the steps in the triangulation process. For each case study, one of these 3 approaches needs to be selected, carefully carried out, and documented. Thus, in-depth examination of the data can take place. Farmer et al 25 concluded that most researchers take the intuitive approach; therefore, triangulation is not clearly articulated. This trend is also evident in our scoping review.

Mixed-methods analysis and results

Few studies in this scoping review used a combination of qualitative and quantitative analysis. However, creating a comprehensive stand-alone picture of a case from both qualitative and quantitative methods is challenging. Findings derived from different data types may not automatically coalesce into a coherent whole. 4 O’Cathain et al 26 described 3 techniques for combining the results of qualitative and quantitative methods: (1) developing a triangulation protocol; (2) following a thread by selecting a theme from 1 component and following it across the other components; and (3) developing a mixed-methods matrix.

The most detailed description of the conducting of triangulation is the triangulation protocol. The triangulation protocol takes place at the interpretation stage of the research process. 26 This protocol was developed for multiple qualitative data but can also be applied to a combination of qualitative and quantitative data. 25 , 26 It is possible to determine agreement, partial agreement, “silence,” or dissonance between the results of qualitative and quantitative data. The protocol is intended to bring together the various themes from the qualitative and quantitative results and identify overarching meta-themes. 25 , 26

The “following a thread” technique is used in the analysis stage of the research process. To begin, each data source is analyzed to identify the most important themes that need further investigation. Subsequently, the research team selects 1 theme from 1 data source and follows it up in the other data source, thereby creating a thread. The individual steps of this technique are not specified. 26 , 27

A mixed-methods matrix is used at the end of the analysis. 26 All the data collected on a defined case are examined together in 1 large matrix, paying attention to cases rather than variables or themes. In a mixed-methods matrix (eg, a table), the rows represent the cases for which both qualitative and quantitative data exist. The columns show the findings for each case. This technique allows the research team to look for congruency, surprises, and paradoxes among the findings as well as patterns across multiple cases. In our review, we identified only one of these 3 approaches in the study by Roots and MacDonald. 20 These authors mentioned that a causal network analysis was performed using a matrix. However, no further details were given, and reference was made to a later publication. We could not find this publication.

Case Studies in Nursing Research and Recommendations

Because it focused on the implementation of NPs in primary health care, the setting of this scoping review was narrow. However, triangulation is essential for research in this area. This type of research was found to provide a good basis for understanding methodologic and data-analysis triangulation. Despite the lack of traceability in the description of the data and methodological triangulation, we believe that case studies are an appropriate design for exploring new nursing roles in existing health care systems. This is evidenced by the fact that case study research is widely used in many social science disciplines as well as in professional practice. 1 To strengthen this research method and increase the traceability in the research process, we recommend using the reporting guideline and reporting checklist by Rodgers et al. 9 This reporting checklist needs to be complemented with methodologic and data-analysis triangulation. A procedural approach needs to be followed in which each comparative step of the triangulation is documented. 25 A triangulation protocol or a mixed-methods matrix can be used for this purpose. 26 If there is a word limit in a publication, the triangulation protocol or mixed-methods matrix needs to be identified. A schematic representation of methodologic and data-analysis triangulation in case studies can be found in Figure 2 .

Schematic representation of methodologic and data-analysis triangulation in case studies (own work).

Limitations

This study suffered from several limitations that must be acknowledged. Given the nature of scoping reviews, we did not analyze the evidence reported in the studies. However, 2 reviewers independently reviewed all the full-text reports with respect to the inclusion criteria. The focus on the primary care setting with NPs (master’s degree) was very narrow, and only a few studies qualified. Thus, possible important methodological aspects that would have contributed to answering the questions were omitted. Studies describing the triangulation of 2 or more quantitative data-collection procedures could not be included in this scoping review due to the inclusion and exclusion criteria.

Conclusions

Given the various processes described for methodologic and data-analysis triangulation, we can conclude that triangulation in case studies is poorly standardized. Consequently, the traceability of the research process is not always given. Triangulation is complicated by the confusion of terminology. To advance case study research in nursing, we encourage authors to reflect critically on methodologic and data-analysis triangulation and use existing tools, such as the triangulation protocol or mixed-methods matrix and the reporting guideline checklist by Rodgers et al, 9 to ensure more transparent reporting.

Supplemental Material

Acknowledgments.

The authors thank Simona Aeschlimann for her support during the screening process.

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

Supplemental Material: Supplemental material for this article is available online.

What is historical case study?  

Insight from top 5 papers.

Historical case study is a research method that has its roots in various disciplines such as criminology, medicine, psychology, and social sciences. It is widely used in political and cultural studies, sociology, and educational research [1] . This method involves analyzing historical cases to understand patterns, introduce new entities, and explain phenomena in the natural and social sciences [2] [3] . Historical case studies can be used to support claims about science and generate knowledge in history education [5] . In the specific context of managing a portfolio of visitor attractions, historical case studies can explore the challenges faced and the overall appeal of historic palaces as tourist attractions [4] . Overall, historical case study is a valuable approach for understanding and explaining complex phenomena in various fields of study.

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Case studies have significantly influenced modern anthropological research by providing a nuanced framework for understanding complex social phenomena. They allow researchers to move beyond normative accounts and engage with the dynamic processes that shape human behavior, as highlighted by Gluckman's pivotal approach, which emphasized tracking sequences of events rather than static structures. This methodological shift has encouraged anthropologists to critically examine implicit assumptions within modern culture, fostering new perspectives on hegemonic values. Furthermore, case studies facilitate interdisciplinary approaches, integrating diverse methodologies and epistemologies, which enrich the analysis of cultural contexts, as seen in their application to intercultural theology. However, challenges such as reliability and transferability remain, necessitating careful consideration of the ethical implications and contextual factors influencing research outcomes, particularly in sensitive environments like prisons. Overall, case studies have become essential tools for anthropologists, promoting a deeper understanding of the complexities of human societies.

A case study is a research method that delves into a specific subject within its real-life context, aiming to understand the intricacies of the case by asking "how" and "why" questions . Originating from fields like criminology, medicine, and psychology, the case study approach is widely utilized in social sciences, political and cultural studies, sociology, and educational research . It involves investigating a bounded system, such as an individual, group, or program, to gain a holistic understanding of the subject matter and its related contextual position . By providing real-world examples and experiences, case studies enable researchers, students, and practitioners to explore complex issues, strategies, and challenges faced by organizations in various contexts, such as entering the Chinese market or conducting experiments in industrial settings .

Historical study refers to the examination of past events, people, places, and phenomena to gain insights into their significance and impact. It plays a crucial role in various fields, such as conservation, epidemiology, academic disciplines like technical communication, and even innovative learning methods like augmented reality for history education. In conservation practices, conducting a historical study is essential to understand the authenticity and values associated with heritage buildings . In epidemiology, historical cohort studies are utilized to analyze disease outcomes and exposure effects, despite potential biases and data challenges . Academic programs, like technical communication, incorporate historical study to engage students and foster a sense of community among practitioners, with varying emphasis across different programs . Additionally, innovative history learning methods, such as using augmented reality, leverage historical study to enhance educational experiences and engage learners .

A case study in qualitative analysis focuses on a single bounded system or case, emphasizing rich illustration, vicarious experience, uniqueness, and support for theorization rather than statistical generalization or representativeness of a broader population . Qualitative case study methodology is a valuable tool for studying complex phenomena within their contexts, aiding in theory development, program evaluation, and intervention design . Case study research designs, popular in business and management, involve in-depth investigations of specific phenomena within real-life contexts, emphasizing the importance of the researcher's embedded role for a comprehensive understanding . Additionally, case studies in healthcare settings, like the Recommended Summary Plan for Emergency Care and Treatment (ReSPECT), involve engaging patients in treatment discussions, with incomplete conversations often attributed to mismatches between clinical priorities and patient/family needs .

A case study is a research method that involves investigating a subject area and its contextual position . It allows for a holistic understanding of a thing within real-life contexts from the perspective of those involved . Case studies are used to study social movements and movement-related processes, distinguishing them from other research strategies . The case study method has historical origins in applied and natural sciences and is widely used in social science, political and cultural studies, sociology, and educational research . Case studies are crucial research tools that work in dialogue with other methodologies to identify real-world challenges and understand the systemic complexity of specific instances . They can elaborate on findings from other research, offer caveats, or raise new research questions . Overall, case studies are a method of inquiry that allows for a deep understanding of individual cases and are suited to research that asks "how" and "why" questions .

Trending Questions

Taxpayer education in South Africa involves multiple stakeholders, each playing a crucial role in enhancing tax literacy and compliance. Understanding these stakeholders is essential for developing effective educational initiatives. ## Key Stakeholders in Taxpayer Education - **South African Revenue Service (SARS)**: As the primary tax authority, SARS is responsible for implementing educational programs aimed at improving taxpayer knowledge and compliance. They recognize the need for taxpayer enculturation and awareness initiatives to foster a positive perception of taxation. - **Educational Institutions**: Schools are pivotal in integrating basic tax education into the curriculum. By teaching students about taxation, future taxpayers can make informed decisions regarding their tax affairs, ultimately improving compliance rates. - **Parents and Community Leaders**: These stakeholders influence the educational environment and can advocate for the inclusion of tax education in schools. Their involvement is crucial for fostering a culture of tax compliance within communities. - **Tax Practitioners and Professional Bodies**: They provide specialized training and resources for tax education, ensuring that both current and future tax professionals are well-equipped to navigate the tax system. While these stakeholders are integral to taxpayer education, challenges remain, such as varying levels of engagement and resource allocation, which can hinder the effectiveness of educational initiatives.

The Philippines has indeed contributed to the International Monetary Fund (IMF) through its participation in various structural adjustment programs (SAPs) and adherence to IMF policies. However, the impact of these contributions has been contentious, often leading to economic challenges rather than benefits. ## Contributions to the IMF - The Philippines has engaged with the IMF by accepting loans and implementing SAPs, which include liberalization and privatization measures aimed at economic efficiency. - These contributions are part of the broader context of international financial cooperation, where the Philippines has sought assistance to stabilize its economy during crises. ## Economic Impact - Despite the contributions, the implementation of IMF policies has often resulted in adverse economic outcomes, such as reduced government spending on essential services and increased poverty levels. - The reliance on foreign aid and IMF loans has led to a lack of confidence in local governance, as citizens perceive these funds as insufficiently managed. In contrast, some argue that the Philippines should focus on alternative development strategies that do not rely on IMF loans, emphasizing local resource mobilization and sustainable economic practices.

The linguistic landscape in the Philippines faces several critical issues that impact education, cultural identity, and communication. These challenges stem from historical influences, policy inconsistencies, and the complexities of multilingualism. Below are the key issues identified in the literature. ## 1. Educational Policy and Implementation - The English Language Education (ELE) system struggles with alignment and coherence in curriculum and assessment, leading to inadequate learning outcomes for students. - The focus on English often undermines mother-tongue literacy, creating a gap in cultural identity and local language proficiency. ## 2. Multilingualism and Language Contact - The Philippines is home to 171 languages, complicating the linguistic situation due to dialect chaining and lexical borrowing, which challenge effective communication and education. - The coexistence of multiple languages can lead to confusion and hinder the development of a cohesive national identity. ## 3. Globalization and Language Use - Globalization pressures the education system to produce graduates proficient in English for international competitiveness, often at the expense of local languages. - The rise of international schools emphasizes English, potentially marginalizing native languages and cultures. ## 4. Quality of Education - There are significant disparities in educational quality across public and private institutions, with many public schools lacking resources and trained faculty. - The focus on English as a medium of instruction does not guarantee effective learning outcomes, as evidenced by poor student performance. ## 5. Sociolinguistic Dynamics - The influence of colonial history continues to shape language attitudes and usage, complicating the relationship between English and local languages. - Issues of identity and power dynamics in language use can lead to social stratification, affecting communication and access to opportunities. While these issues present significant challenges, they also highlight the need for a balanced approach that values both English proficiency and the preservation of local languages, fostering a more inclusive educational environment.

Misconceptions in education are complex phenomena that arise from students' pre-existing beliefs and intuitive understandings, often conflicting with scientific knowledge. Various theories have been proposed to explain these misconceptions, highlighting their origins and persistence despite formal education. ## Theoretical Frameworks - **Constructivist Approach**: This theory posits that misconceptions are a result of students' attempts to assimilate new information into their existing cognitive frameworks, leading to "deformant assimilation" as described by Piaget. - **Behaviorism and Ausubel's Theory**: These frameworks suggest that misconceptions can be addressed through reinforcement and meaningful learning, although they are less effective in explaining the hierarchical nature of misconceptions. ## Types of Misconceptions - **Classificational Execution Misconceptions**: These occur when students misclassify geometric concepts, failing to align with expert definitions. - **Theoretical Execution Misconceptions**: These involve misunderstandings of definitions and properties within a subject area. ## Pedagogical Implications - Addressing misconceptions requires making them visible in the learning process and creating cognitive conflicts to challenge students' preconceptions. While these theories provide valuable insights, some argue that misconceptions may also stem from broader epistemological issues, suggesting a need for interdisciplinary approaches to fully understand and address them.

Private higher education institutions can navigate economic crises through strategic adjustments in funding, tuition policies, and operational practices. ## Tuition Fee Adjustments - Institutions often increase tuition fees in response to economic downturns. For instance, Italian universities raised fees by an average of 27% during the 2008 financial crisis, influenced by competition and institutional reputation. - High competition can mitigate fee increases, suggesting that institutions must balance financial needs with market positioning. ## Diversification of Funding - A shift towards public-private funding models can provide resilience. Historical analysis indicates that counter-cyclical public funding can enhance educational quality and equity, rather than merely substituting private resources. - In countries like Chile and Mexico, the commercialization of higher education has led to challenges, emphasizing the need for regulatory frameworks to ensure quality amidst neoliberal reforms. ## Quality Assurance and Regulation - The unregulated growth of private institutions raises concerns about educational quality. Effective accreditation mechanisms are essential to maintain standards and public trust during crises. While these strategies can bolster resilience, the reliance on increased tuition and privatization may also exacerbate inequalities, necessitating a balanced approach to funding and quality assurance in higher education.

Engaging Archaeology: 25 Case Studies in Research Practice

Scholarship and Practice of Undergraduate Research Journal

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Student research showdown: a research communication competition.

Student researchers are rarely trained to explain their work to a general audience but must do so throughout their careers. To assist undergraduate researchers in building this skill, the Student Research Showdown—a research video and presentation competition—was created at the University of Texas at Austin. Students create brief videos on which their peers vote, and the top video creators face off with presentations and are awarded prizes by a panel of judges. Students reflect on their experiential learning as they construct a narrative that disseminates their findings, communicates impact, and serves as a sharable testament to their success. Indirect measures indicate that students improve their research communication skills by participating in this event.

Social and Human Capital Influences on Undergraduate Researchers’ Disciplinary Identity: The Case of Social and Natural Scientists

Disciplinary identity, or connection to a particular academic discipline, is constructed through a developmental process across a scholar’s academic life course. Using unique data from an online survey of students at four different types of colleges and universities, this study investigates the extent to which disciplinary identity among undergraduate researchers is connected to their human and social capital and differs between social and natural scientists. Disciplinary identity for natural scientists is correlated with mentoring, being a first-generation student, and having a disability, whereas disciplinary identity for social scientists is correlated with only one factor: grit. Implications for institutions and undergraduate programs desiring to enhance the connection between students and their fields of study are discussed.

Leveraging the Role of Library Partnerships to Understand Undergraduate Research Contributions to Humanities Scholarship: A Case Study

The library and the Undergraduate Research Opportunity Program at the University of Michigan partnered in an investigation of student-faculty research collaboration in the humanities. The authors found that providing early opportunities for undergraduates to collaborate on such projects was highly beneficial for both students and faculty mentors. Students contributed and gained invaluable skills in an experience they stated was more meaningful than that of a conventional classroom, whereas faculty mentors could juggle multiple projects, benefit from students’ technological skills, and articulate the salience of their research processes and their work. The authors also discuss the role of the library as a crucial catalyst in changing the perception of the humanities at higher education institutions, particularly as it exposes students to research projects and professions within the library.

Knowledge Makers: Indigenous Undergraduate Researchers and Research

As higher education institutions seek to provide further scope for diversity in their practices, there is space opening up for Indigenous undergraduate research. This article reflects on the Knowledge Makers program, an Indigenous undergraduate research initiative based in British Columbia, Canada. The Knowledge Makers program shows what is possible when an Indigenous approach is used to mentor Indigenous undergraduate students and offers promising practices for increasing Indigenous researchers and research, such as drawing on the knowledge of Indigenous ancestors, valuing Indigenous research methodologies, using a strengths-based approach, performing research as a type of service, and committing to legacy.

Undergraduate Research Highlights – Spring 2019

Establishing a statewide celebration of undergraduate research: history and lessons learned.

The Florida Undergraduate Research Conference (FURC) is an annual multidisciplinary conference that enables student scholars to present their research, network with other students, and attend professional development seminars. FURC has been held since 2011 and has featured more than 2,100 student presentations with participation from a broad array of institutions within the state. Survey data indicate that FURC is the first conference presentation for the majority of participants and that participation in the conference is associated with several positive outcomes. This article describes the history, structure, and planning of the conference and as well provides survey and outcome data that may assist other states and geographic areas as they consider forming their own conferences.

Learning “Scholarship as Conversation” by Writing Book Reviews

The ability of undergraduate students to write for scholarly audiences is contingent upon their capacity to recognize that scholarship is a kind of conversation. For a student, writing an academic book review is a near ideal yet generally underutilized opportunity to learn this lesson. Through analysis of previously published book reviews coproduced with students, the authors identify actionable practices to transform the process of writing book reviews from an undervalued, lone activity into a viable form of undergraduate research. Publishing coauthored book reviews may aid students seeking admission to graduate school and faculty seeking promotion. In the end, writing book reviews with students is an opportunity for faculty and librarians to pass along the important lesson that scholarship is an important, inclusive conversation.

A Peer Research Consultant Program: Feasibility and Outcomes

The authors discuss their study of the Peer Research Consultant (PRC) program at California State University, San Bernardino. During the 2016–2017 academic year, 13 courses, with 853 students enrolled, participated in the PRC program. Program participants completed pre and post-measures assessing demographic information, perceptions of skill level, and perceived gains following program participation. Students who participated in the PRC program showed an increase in overall course grades (M = 3.11) compared to those who did not (M = 2.82; p < 0.05). Similar findings were observed among under-represented minority (URM) students who participated (M = 3.05) and those who did not (M = 2.73, p < 0.05). Program participants reported high satisfaction with the program and improved confidence in skills

Introduction – Spring 2019

Table of contents – spring 2019.

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A distributed coordination approach for enhancing protection system adaptability in active distribution networks.

1. Introduction

• Proposal of an adaptive communication-based protection scheme that leverages distributed coordination and under-voltage criteria. This scheme enhances the effectiveness of protection systems in active distribution networks.
• Despite its communication dependence, the proposed scheme only requires a one-byte data exchange of element information between neighboring agents to ensure coordinated operation. This significantly reduces bandwidth requirements.
• The scheme empowers non-adaptive protection equipment to exhibit adaptive characteristics. This is verified through real-time testing in a Controller Hardware-In-the-Loop (CHIL) experimental setup, considering the primary fault behavior of inverter-based resources (IBRs).

2. Background

2.1. fault behavior and modeling of inverter-based resources.

• Voltage support during fault events: IBRs are expected to remain connected to support voltage during fault events. For instance, in certain countries, inverters must adhere to the ride-through curves defined in IEEE 1547-2018 [ 26 ].
• Dynamic limitation of fault current: to ensure the safety of inverters due to their reduced thermal capabilities, a dynamic limitation of fault current is employed [ 27 ].

2.2. Fault Direction Estimation Algorithms

2.3. graph theory, 2.4. optimal protection coordination, 3. proposed protection scheme, 3.1. distributed protection coordination.

3.2. Fault Detection and Direction Estimation Algorithm

3.3. online coordination algorithm, 4. real-time simulation test bed, 4.1. experimental setup, 4.2. study cases, 5. test results and discussion, 6. conclusions, author contributions, data availability statement, acknowledgments, conflicts of interest, nomenclature.

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Acevedo-Iles, M.; Romero-Quete, D.; Cortes, C.A. A Distributed Coordination Approach for Enhancing Protection System Adaptability in Active Distribution Networks. Energies 2024 , 17 , 4338. https://doi.org/10.3390/en17174338

Acevedo-Iles M, Romero-Quete D, Cortes CA. A Distributed Coordination Approach for Enhancing Protection System Adaptability in Active Distribution Networks. Energies . 2024; 17(17):4338. https://doi.org/10.3390/en17174338

Acevedo-Iles, Manuel, David Romero-Quete, and Camilo A. Cortes. 2024. "A Distributed Coordination Approach for Enhancing Protection System Adaptability in Active Distribution Networks" Energies 17, no. 17: 4338. https://doi.org/10.3390/en17174338

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