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Understanding the Case Study Method in Sociology
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Table of Contents
Definition and purpose of case studies, types of case studies, methodological approaches in case studies.
- Advantages of Case Study Methods
- Limitations of Case Study Methods
- Applications of Case Study Methods in Sociology
The case study method is a research strategy often employed in the social sciences, including sociology, to investigate a phenomenon within its real-life context. This approach allows for a deep, multifaceted exploration of complex issues, making it an invaluable tool for sociologists. By focusing on a single case or a small number of cases, researchers can gather detailed and nuanced data, which can then be used to develop or test theories. This essay will provide an overview of the case study method, its applications, advantages, and limitations, and illustrate how it can be used effectively in sociological research.
Understanding Case Studies
A case study is an in-depth examination of a single instance or event—a ‘case’—which could be an individual, group, organization, community, or even a nation. The case study method is not confined to a particular type of data collection or analysis but rather encompasses a variety of techniques to gather comprehensive information about the case in question. This method is particularly useful for studying phenomena in their natural settings, allowing researchers to capture the complexities and intricacies of social life.
Purpose and Importance
The primary purpose of a case study is to gain a deep understanding of the subject under investigation. Case studies are particularly effective in exploring new or under-researched areas where the boundaries between the phenomenon and context are not clearly evident. They enable researchers to explore the ‘how’ and ‘why’ questions, providing insights that might not be achievable through other research methods. By focusing on specific instances, case studies can reveal the underlying mechanisms and processes that drive social phenomena, offering rich, qualitative insights that can inform broader sociological theories and practices.
Exploratory Case Studies
Exploratory case studies are conducted to identify research questions and hypotheses for further study. They are often the preliminary step in a research project, providing a basis for developing more detailed research plans. These case studies are useful for gathering initial data and insights, which can help shape the direction of future research.
Descriptive Case Studies
Descriptive case studies aim to provide a detailed, accurate account of the case under investigation. These studies focus on describing the characteristics and context of the case, often with the goal of illustrating the application of theories in real-life scenarios. Descriptive case studies are valuable for presenting a comprehensive picture of the phenomenon, enabling a better understanding of its complexity.
Explanatory Case Studies
Explanatory case studies are used to explore causation and uncover the underlying mechanisms of a phenomenon. These studies seek to explain the ‘how’ and ‘why’ questions, providing insights into the causal relationships and processes at play. Explanatory case studies are particularly useful in testing hypotheses and theories, offering a detailed examination of the factors that contribute to a specific outcome.
Intrinsic Case Studies
Intrinsic case studies are conducted when the researcher has a genuine interest in the case itself, rather than in generalizing findings to other cases. These studies focus on understanding the unique aspects and significance of the specific case, often highlighting its distinctiveness and individuality. Intrinsic case studies are valuable for exploring cases that are particularly unusual or noteworthy, providing insights that might not be applicable to other contexts.
Instrumental Case Studies
Instrumental case studies are conducted to gain a broader understanding of a particular issue or phenomenon. The case is used as a tool to provide insights into a larger question or theory. In these studies, the case itself is of secondary interest, serving as a means to an end. Instrumental case studies are useful for illustrating broader theoretical concepts and for drawing generalizable conclusions from specific instances.
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Conducting Case Study Research in Sociology
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A case study is a research method that relies on a single case rather than a population or sample. When researchers focus on a single case, they can make detailed observations over a long period of time, something that cannot be done with large samples without costing a lot of money. Case studies are also useful in the early stages of research when the goal is to explore ideas, test, and perfect measurement instruments, and to prepare for a larger study. The case study research method is popular not just within the field of sociology, but also within the fields of anthropology, psychology, education, political science, clinical science, social work, and administrative science.
Overview of the Case Study Research Method
A case study is unique within the social sciences for its focus of study on a single entity, which can be a person, group or organization, event, action, or situation. It is also unique in that, as a focus of research, a case is chosen for specific reasons, rather than randomly , as is usually done when conducting empirical research. Often, when researchers use the case study method, they focus on a case that is exceptional in some way because it is possible to learn a lot about social relationships and social forces when studying those things that deviate from norms. In doing so, a researcher is often able, through their study, to test the validity of the social theory, or to create new theories using the grounded theory method .
The first case studies in the social sciences were likely conducted by Pierre Guillaume Frédéric Le Play, a 19th-century French sociologist and economist who studied family budgets. The method has been used in sociology, psychology, and anthropology since the early 20th century.
Within sociology, case studies are typically conducted with qualitative research methods . They are considered micro rather than macro in nature , and one cannot necessarily generalize the findings of a case study to other situations. However, this is not a limitation of the method, but a strength. Through a case study based on ethnographic observation and interviews, among other methods, sociologists can illuminate otherwise hard to see and understand social relations, structures, and processes. In doing so, the findings of case studies often stimulate further research.
Types and Forms of Case Studies
There are three primary types of case studies: key cases, outlier cases, and local knowledge cases.
- Key cases are those which are chosen because the researcher has a particular interest in it or the circumstances surrounding it.
- Outlier cases are those that are chosen because the case stands out from other events, organizations, or situations, for some reason, and social scientists recognize that we can learn a lot from those things that differ from the norm .
- Finally, a researcher may decide to conduct a local knowledge case study when they already have amassed a usable amount of information about a given topic, person, organization, or event, and so is well-poised to conduct a study of it.
Within these types, a case study may take four different forms: illustrative, exploratory, cumulative, and critical.
- Illustrative case studies are descriptive in nature and designed to shed light on a particular situation, set of circumstances, and the social relations and processes that are embedded in them. They are useful in bringing to light something about which most people are not aware of.
- Exploratory case studies are also often known as pilot studies . This type of case study is typically used when a researcher wants to identify research questions and methods of study for a large, complex study. They are useful for clarifying the research process, which can help a researcher make the best use of time and resources in the larger study that will follow it.
- Cumulative case studies are those in which a researcher pulls together already completed case studies on a particular topic. They are useful in helping researchers to make generalizations from studies that have something in common.
- Critical instance case studies are conducted when a researcher wants to understand what happened with a unique event and/or to challenge commonly held assumptions about it that may be faulty due to a lack of critical understanding.
Whatever type and form of case study you decide to conduct, it's important to first identify the purpose, goals, and approach for conducting methodologically sound research.
- Definition of Idiographic and Nomothetic
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- What Is a Snowball Sample in Sociology?
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- Pilot Study in Research
- Understanding Secondary Data and How to Use It in Research
- All About Marxist Sociology
- Definition of a Hypothesis
- Defining Unobtrusive Measures in Sociology Experiments
- Positivism in the Study of Sociology
- Understanding Path Analysis
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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.
Research question | Case study |
---|---|
What are the ecological effects of wolf reintroduction? | Case study of wolf reintroduction in Yellowstone National Park |
How do populist politicians use narratives about history to gain support? | Case studies of Hungarian prime minister Viktor Orbán and US president Donald Trump |
How can teachers implement active learning strategies in mixed-level classrooms? | Case study of a local school that promotes active learning |
What are the main advantages and disadvantages of wind farms for rural communities? | Case studies of three rural wind farm development projects in different parts of the country |
How are viral marketing strategies changing the relationship between companies and consumers? | Case study of the iPhone X marketing campaign |
How do experiences of work in the gig economy differ by gender, race and age? | Case studies of Deliveroo and Uber drivers in London |
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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
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- Implicit bias
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Case Study Methods
- Jacques Hamel - University of Montreal, Canada
- Stephane Dufour - University of Montreal, Canada
- Dominic Fortin - University of Montreal, Canada
- Description
The use of the case study goes back to the beginnings of social science research and is still one of the most common forms of qualitative research. This book is a handy introduction to understanding, researching, and doing case studies in the social sciences and related fields. In this brief monograph, Jacques Hamel outlines several differing traditions of case study research—the Chicago School of Sociology, the anthropological case studies of Malinowski and others, and the French Le Play school tradition. Hamel shows how each developed, changed, and has been practiced over time. Practical suggestions are included for doing case study research and a comprehensive bibliography on case study methods in social science allows for further exploration.
ISBN: 9780803954168 | Paperback | Suggested Retail Price: $42.00 | Bookstore Price: $33.60 |
ISBN: 9781544304571 | Electronic Version | Suggested Retail Price: $36.00 | Bookstore Price: $28.80 |
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Detailed text, more suited to PG level students and those wanting a more 'philosophical' text. This book was originally published in French. It is a thought provoking book, and worthy of extended reading, but not really suitable for many UG level students. I have certainly found it to be a book which outlines concepts and sets out the parameters and contexts for using case studies. Intriguing indeed!
The Case Study in Social Research History, Methods and Applications
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The Case Study in Social Research proposes and develops an innovative, rigorous, and up to date methodological clarification of the case study approach in the social sciences to consistently and consciously apply it to different fields of social research. It aspires to provide the reader not with a set of prescriptive rules, but rather with a ‘methodological awareness’ of the complexity and peculiarity of applying a case study, so that they may carefully evaluate the limits and potential of conducting this type of investigation. What is case study research in the sociological field really? How do we carry out a social inquiry of this type? How does it differ from other social research approaches? In answering these questions, this book leads the reader on a historical, epistemological, technical, and applicative path in the methodology of social research, by examining all aspects of the case study approach. The aim is to respond to as-yet still equivocal and misunderstood methodological issues, and provide a systematic illustration and exemplification of the case study approach, beginning from its sociological and methodological roots, its research design, and on through to its preparation and administration. Space is also dedicated to specifically and practically understanding the differences between the case study and the other social research approaches, with which it is often confused in literature, such as ethnographic research, grounded theory, or qualitative research. This book is suitable for upper level undergraduate and postgraduate students in the social sciences, and as a supplementary textbook to primary methods texts, as well as for social researchers, and other practitioners and academics with a firm grounding in social research methodologies.
Table of Contents
Barbara Sena is Associate Professor of Sociology in the Department of Letters, Philosophy, Communication at the University of Bergamo, Italy, where she teaches sociology and research methods in bachelor’s and master's degree courses and in the doctoral school.
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Case Study: Types, Advantages And Disadvantages
Case Study: Types, Advantages And Disadvantages
Case study is both method and tool for research. Case study is the intensive study of a phenomenon, but it gives subjective information rather than objective. It gives detailed knowledge about the phenomena and is not able to generalize beyond the knowledge.
Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization. According to its design, case study research method can be divided into three categories: explanatory, descriptive and exploratory.
Explanatory case studies aim to answer ‘how’ or ‘why’ questions with little control on behalf of the researcher over occurrence of events. This type of case study focuses on phenomena within the contexts of real-life situations.
Descriptive case studies aim to analyze the sequence of interpersonal events after a certain amount of time has passed. Case studies belonging to this category usually describe culture or sub-culture, and they attempt to discover the key phenomena.
Exploratory case studies aim to find answers to the questions of ‘what’ or ‘who’. Exploratory case study data collection method is often accompanied by additional data collection method(s) such as interviews, questionnaires, experiments etc.
DEFINITION OF CASE STUDY
The case study or case history method is not a newer thing, but it is a linear descendent of very ancient methods of sociological description and generalization namely, the ‘parable’, the ‘allegory’, the ‘story’ and the ‘novel’.
According to P.V. Young . “A fairly exhaustive study of a person or group is called a life of case history.”
Thus, the case study is more intensive in nature; the field of study is comparatively limited but has more depth in it.
![case study methods in sociology case study methods in sociology](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBqISG0kyUumajNtRft4TCGn01-pcKBvwzfne9Hskz2GBvBpt1owF2YNjFnCkDpIIshPVMjvif39SS4cjNL1pbM8C9u7zyDj8fiQWlWdQZc0dPxUCbW6RFuOendhkPUn1ksGN6s30W4Ew/w682-h551/Diagram-of-the-possible-types-of-case-study-research-and-their-related-generalizations.png)
TYPES OF CASE STUDY
Six types of case studies are conducted which are as follows:
Community Studies: The community study is a careful description and analysis of a group of people living together in a particular geographic location in a corporative way. The community study deals with such elements of the community as location, appearance, prevailing economic activity, climate and natural sources, historical development, how the people live, the social structure, goals and life values, an evaluation of the social institutions within the community that meet the human needs etc. Such studies are case studies, with the community serving as the case under investigation.
Casual Comparative Studies: Another type of study seeks to find the answers to the problems through the analysis of casual relationships. What factors seem to be associated with certain occurrences, conditions or types of behaviour? By the methodology of descriptive research, the relative importance of these factors may be investigated.
Activity Analysis: The analysis of the activities or processes that an individual is called upon to perform is important, both in industry and in various types of social agencies. This process of analysis is appropriate in any field of work and at all levels of responsibility. In social system, the roles of superintendent, the principal, the teacher and the custodian have been carefully analyzed to discover what these individuals do and need to be able to do.
Content or Document Analysis: Content analysis, sometimes known as document analysis. Deals with the systematic examination of current records or documents as sources of data. In documentary analysis, the following may be used as sources of data: official records and reports, printed forms, text-books, reference books, letters, autobiographies diaries, pictures, films and cartoons etc . But in using documentary sources, one must bear in mind the fact that data appearing in print is not necessarily trustworthy. This content or document analysis should serve a useful purpose in research, adding important knowledge to a field to study or yielding information that is helpful in evaluating and improving social or educational practices.
A Follow-up Study: A follow-up study investigates individuals who have left an institution after having completed programme, a treatment or a course of study, to know what has been the impact of the institutions and its programme upon them. By examining their status or seeking their opinions, one may get some idea of the adequacy or inadequacy of the institutes programme. Studies of this type enable an institution to evaluate various aspects of its programme in the light of actual results.
Trend Studies: The trend or predictive study is an interesting application of the descriptive method. In essence, it is based upon a longitudinal consideration of recorded data, indicating what has been happening in the past, what does the present situation reveal and on the basis of these data, what will be likely to happen in the future.
Whatever type of case study is to conduct, it’s important to first identify the purpose, goals, and approach for conducting methodologically sound research.
ADVANTAGES OF CASE STUDY
The main points of advantages of case study are given below:
Formation of valid hypothesis: Case study helps in formulating valid hypothesis. Once the various cases are extensively studied and analyze, the researcher can deduce various generalizations, which may be developed into useful hypotheses. It is admitted by all that the study of relevant literature and case study form the only potent sources of hypothesis.
Useful in framing questionnaires and schedules: Case study is of great help in framing questionnaires, schedules or other forms. When a questionnaire is prepared after thorough case study the peculiarities of the group as well as individual units, become known also the type of response likely to be available, liking and aversions of the people. This helps in getting prompt response.
Sampling: Case study is of help in the stratification of the sample. By studying the individual units the researcher can put them in definite classes or types and thereby facilitate the perfect stratification of the sample.
Location of deviant cases: The case study makes it possible to locate deviant cases. There exists a general tendency to ignore them, but for scientific analysis, they are very important. The analysis of such cases is of valuable help in clarifying the theory itself.
Study of process: In cases where the problem under study constitutes a process and not one incident e.g. courtship process, clique formation etc., case study is the appropriate method as the case data is essential for valid study of such problems.
Enlarges experience: The range of personal experience of the researcher is enlarged by the case study on the other hand in statistical methods a narrow range of topics is selected, and the researcher’s knowledge is restricted to the particular aspect only.
Qualitative analysis in actual situation: Case study enables the establishment of the significance of the recorded data when the individual is alive and later on within the life of the classes of individuals. The researcher has the opportunity to come into contact with different classes of people and he is in a position to watch their life and hear their experiences. This provides him with an opportunity to acquire experiences of such life situations which he is never expected to lead.
This discussion highlights the advantages of the case data in social research. Social scientists developed the techniques to make it more perfect and remove the chances of bias.
LIMITATIONS/DISADVANTAGES OF CASE STUDY METHOD
Subjective bias: Research subjectivity in collecting data for supporting or refuting a particular explanation, personal view of investigation influences the findings and conclusion of the study.
Problem of objectivity: Due to excessive association with the social unit under investigation the researcher may develop self-justificatory data which are far from being factual.
Difficulty in comparison: Because of wide variations among human beings in terms of their response and behaviour, attitudes and values, social setting and circumstances, etc., the researcher actually finds it difficult to trace out two social units which are identical in all respects. This hinders proper comparison of cases.
A time, energy and money consuming method: The preparation of a case history involves a lot of time and expenditure of human energy, therefore, there is every possibility that most of the cases may get stray. Due to such difficulties, only a few researchers can afford to case study method.
Time span: Long time span may be another factor that is likely to distort the information provided by the social unit to the researcher.
Unreliable source material: The two major sources of case study are: Personal documents and life history. But in both these cases, the records or the own experience of the social units may not present a true picture. On the contrary, the social unit may try to suppress his unpleasant facts or add colour to them. As a result, the conclusions drawn do not give a true picture and dependable findings.
Scope for wrong conclusions: The case study is laden with inaccurate observation, wrong inferences, faulty reporting, memory failure, repression or omission of unpleasant facts in an unconscious manner, dramatization of facts, more imaginary description, and difficulty in choosing a case typical of the group. All these problems provide the researcher with every possibility of drawing wrong conclusions and errors.
Case studies are complex because they generally involve multiple sources of data, may include multiple cases within a study and produce large amounts of data for analysis. Researchers from many disciplines use the case study method to build upon theory, to produce new theory, to dispute or challenge theory, to explain a situation, to provide a basis to apply solutions to situations, to explore, or to describe an object or phenomenon. The advantages of the case study method are its applicability to real-life, contemporary, human situations and its public accessibility through written reports. Case study results relate directly to the common readers everyday experience and facilitate an understanding of complex real-life situations.
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Research Methodology Methods and Techniques~C. R. Kothari (p.113) - Link
Fundamental of Research Methodology and Statistics~Yogesh Kumar Singh (Chapter–10: Case Study Method p. 147) - Link
Social Research Methods: Qualitative and Quantitative Approaches~W. Lawrence Neuman (p.42) - Link
The Basics of Social Research~Earl Babbie (p.280) - Link
Social Science Research Principles, Methods, and Practices~Anol Bhattacherjee (93) - Link
PREPARING A CASE STUDY: A Guide for Designing and Conducting a Case Study for Evaluation Input - Link
A Case in Case Study Methodology - Link
Case Study Method - Link1 & Link 2
Unit-4 Case Study - Link
Case study as a research method - Link
Case_Study~Tanya Sammut-Bonnici and John McGee - Link
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2.2 Research Methods
Learning objectives.
By the end of this section, you should be able to:
- Recall the 6 Steps of the Scientific Method
- Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis.
- Explain the appropriateness of specific research approaches for specific topics.
Sociologists examine the social world, see a problem or interesting pattern, and set out to study it. They use research methods to design a study. Planning the research design is a key step in any sociological study. Sociologists generally choose from widely used methods of social investigation: primary source data collection such as survey, participant observation, ethnography, case study, unobtrusive observations, experiment, and secondary data analysis , or use of existing sources. Every research method comes with plusses and minuses, and the topic of study strongly influences which method or methods are put to use. When you are conducting research think about the best way to gather or obtain knowledge about your topic, think of yourself as an architect. An architect needs a blueprint to build a house, as a sociologist your blueprint is your research design including your data collection method.
When entering a particular social environment, a researcher must be careful. There are times to remain anonymous and times to be overt. There are times to conduct interviews and times to simply observe. Some participants need to be thoroughly informed; others should not know they are being observed. A researcher wouldn’t stroll into a crime-ridden neighborhood at midnight, calling out, “Any gang members around?”
Making sociologists’ presence invisible is not always realistic for other reasons. That option is not available to a researcher studying prison behaviors, early education, or the Ku Klux Klan. Researchers can’t just stroll into prisons, kindergarten classrooms, or Klan meetings and unobtrusively observe behaviors or attract attention. In situations like these, other methods are needed. Researchers choose methods that best suit their study topics, protect research participants or subjects, and that fit with their overall approaches to research.
As a research method, a survey collects data from subjects who respond to a series of questions about behaviors and opinions, often in the form of a questionnaire or an interview. The survey is one of the most widely used scientific research methods. The standard survey format allows individuals a level of anonymity in which they can express personal ideas.
At some point, most people in the United States respond to some type of survey. The 2020 U.S. Census is an excellent example of a large-scale survey intended to gather sociological data. Since 1790, United States has conducted a survey consisting of six questions to received demographical data pertaining to residents. The questions pertain to the demographics of the residents who live in the United States. Currently, the Census is received by residents in the United Stated and five territories and consists of 12 questions.
Not all surveys are considered sociological research, however, and many surveys people commonly encounter focus on identifying marketing needs and strategies rather than testing a hypothesis or contributing to social science knowledge. Questions such as, “How many hot dogs do you eat in a month?” or “Were the staff helpful?” are not usually designed as scientific research. The Nielsen Ratings determine the popularity of television programming through scientific market research. However, polls conducted by television programs such as American Idol or So You Think You Can Dance cannot be generalized, because they are administered to an unrepresentative population, a specific show’s audience. You might receive polls through your cell phones or emails, from grocery stores, restaurants, and retail stores. They often provide you incentives for completing the survey.
Sociologists conduct surveys under controlled conditions for specific purposes. Surveys gather different types of information from people. While surveys are not great at capturing the ways people really behave in social situations, they are a great method for discovering how people feel, think, and act—or at least how they say they feel, think, and act. Surveys can track preferences for presidential candidates or reported individual behaviors (such as sleeping, driving, or texting habits) or information such as employment status, income, and education levels.
A survey targets a specific population , people who are the focus of a study, such as college athletes, international students, or teenagers living with type 1 (juvenile-onset) diabetes. Most researchers choose to survey a small sector of the population, or a sample , a manageable number of subjects who represent a larger population. The success of a study depends on how well a population is represented by the sample. In a random sample , every person in a population has the same chance of being chosen for the study. As a result, a Gallup Poll, if conducted as a nationwide random sampling, should be able to provide an accurate estimate of public opinion whether it contacts 2,000 or 10,000 people.
After selecting subjects, the researcher develops a specific plan to ask questions and record responses. It is important to inform subjects of the nature and purpose of the survey up front. If they agree to participate, researchers thank subjects and offer them a chance to see the results of the study if they are interested. The researcher presents the subjects with an instrument, which is a means of gathering the information.
A common instrument is a questionnaire. Subjects often answer a series of closed-ended questions . The researcher might ask yes-or-no or multiple-choice questions, allowing subjects to choose possible responses to each question. This kind of questionnaire collects quantitative data —data in numerical form that can be counted and statistically analyzed. Just count up the number of “yes” and “no” responses or correct answers, and chart them into percentages.
Questionnaires can also ask more complex questions with more complex answers—beyond “yes,” “no,” or checkbox options. These types of inquiries use open-ended questions that require short essay responses. Participants willing to take the time to write those answers might convey personal religious beliefs, political views, goals, or morals. The answers are subjective and vary from person to person. How do you plan to use your college education?
Some topics that investigate internal thought processes are impossible to observe directly and are difficult to discuss honestly in a public forum. People are more likely to share honest answers if they can respond to questions anonymously. This type of personal explanation is qualitative data —conveyed through words. Qualitative information is harder to organize and tabulate. The researcher will end up with a wide range of responses, some of which may be surprising. The benefit of written opinions, though, is the wealth of in-depth material that they provide.
An interview is a one-on-one conversation between the researcher and the subject, and it is a way of conducting surveys on a topic. However, participants are free to respond as they wish, without being limited by predetermined choices. In the back-and-forth conversation of an interview, a researcher can ask for clarification, spend more time on a subtopic, or ask additional questions. In an interview, a subject will ideally feel free to open up and answer questions that are often complex. There are no right or wrong answers. The subject might not even know how to answer the questions honestly.
Questions such as “How does society’s view of alcohol consumption influence your decision whether or not to take your first sip of alcohol?” or “Did you feel that the divorce of your parents would put a social stigma on your family?” involve so many factors that the answers are difficult to categorize. A researcher needs to avoid steering or prompting the subject to respond in a specific way; otherwise, the results will prove to be unreliable. The researcher will also benefit from gaining a subject’s trust, from empathizing or commiserating with a subject, and from listening without judgment.
Surveys often collect both quantitative and qualitative data. For example, a researcher interviewing people who are incarcerated might receive quantitative data, such as demographics – race, age, sex, that can be analyzed statistically. For example, the researcher might discover that 20 percent of incarcerated people are above the age of 50. The researcher might also collect qualitative data, such as why people take advantage of educational opportunities during their sentence and other explanatory information.
The survey can be carried out online, over the phone, by mail, or face-to-face. When researchers collect data outside a laboratory, library, or workplace setting, they are conducting field research, which is our next topic.
Field Research
The work of sociology rarely happens in limited, confined spaces. Rather, sociologists go out into the world. They meet subjects where they live, work, and play. Field research refers to gathering primary data from a natural environment. To conduct field research, the sociologist must be willing to step into new environments and observe, participate, or experience those worlds. In field work, the sociologists, rather than the subjects, are the ones out of their element.
The researcher interacts with or observes people and gathers data along the way. The key point in field research is that it takes place in the subject’s natural environment, whether it’s a coffee shop or tribal village, a homeless shelter or the DMV, a hospital, airport, mall, or beach resort.
While field research often begins in a specific setting , the study’s purpose is to observe specific behaviors in that setting. Field work is optimal for observing how people think and behave. It seeks to understand why they behave that way. However, researchers may struggle to narrow down cause and effect when there are so many variables floating around in a natural environment. And while field research looks for correlation, its small sample size does not allow for establishing a causal relationship between two variables. Indeed, much of the data gathered in sociology do not identify a cause and effect but a correlation .
Sociology in the Real World
Beyoncé and lady gaga as sociological subjects.
Sociologists have studied Lady Gaga and Beyoncé and their impact on music, movies, social media, fan participation, and social equality. In their studies, researchers have used several research methods including secondary analysis, participant observation, and surveys from concert participants.
In their study, Click, Lee & Holiday (2013) interviewed 45 Lady Gaga fans who utilized social media to communicate with the artist. These fans viewed Lady Gaga as a mirror of themselves and a source of inspiration. Like her, they embrace not being a part of mainstream culture. Many of Lady Gaga’s fans are members of the LGBTQ community. They see the “song “Born This Way” as a rallying cry and answer her calls for “Paws Up” with a physical expression of solidarity—outstretched arms and fingers bent and curled to resemble monster claws.”
Sascha Buchanan (2019) made use of participant observation to study the relationship between two fan groups, that of Beyoncé and that of Rihanna. She observed award shows sponsored by iHeartRadio, MTV EMA, and BET that pit one group against another as they competed for Best Fan Army, Biggest Fans, and FANdemonium. Buchanan argues that the media thus sustains a myth of rivalry between the two most commercially successful Black women vocal artists.
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Participant Observation
In 2000, a comic writer named Rodney Rothman wanted an insider’s view of white-collar work. He slipped into the sterile, high-rise offices of a New York “dot com” agency. Every day for two weeks, he pretended to work there. His main purpose was simply to see whether anyone would notice him or challenge his presence. No one did. The receptionist greeted him. The employees smiled and said good morning. Rothman was accepted as part of the team. He even went so far as to claim a desk, inform the receptionist of his whereabouts, and attend a meeting. He published an article about his experience in The New Yorker called “My Fake Job” (2000). Later, he was discredited for allegedly fabricating some details of the story and The New Yorker issued an apology. However, Rothman’s entertaining article still offered fascinating descriptions of the inside workings of a “dot com” company and exemplified the lengths to which a writer, or a sociologist, will go to uncover material.
Rothman had conducted a form of study called participant observation , in which researchers join people and participate in a group’s routine activities for the purpose of observing them within that context. This method lets researchers experience a specific aspect of social life. A researcher might go to great lengths to get a firsthand look into a trend, institution, or behavior. A researcher might work as a waitress in a diner, experience homelessness for several weeks, or ride along with police officers as they patrol their regular beat. Often, these researchers try to blend in seamlessly with the population they study, and they may not disclose their true identity or purpose if they feel it would compromise the results of their research.
At the beginning of a field study, researchers might have a question: “What really goes on in the kitchen of the most popular diner on campus?” or “What is it like to be homeless?” Participant observation is a useful method if the researcher wants to explore a certain environment from the inside.
Field researchers simply want to observe and learn. In such a setting, the researcher will be alert and open minded to whatever happens, recording all observations accurately. Soon, as patterns emerge, questions will become more specific, observations will lead to hypotheses, and hypotheses will guide the researcher in analyzing data and generating results.
In a study of small towns in the United States conducted by sociological researchers John S. Lynd and Helen Merrell Lynd, the team altered their purpose as they gathered data. They initially planned to focus their study on the role of religion in U.S. towns. As they gathered observations, they realized that the effect of industrialization and urbanization was the more relevant topic of this social group. The Lynds did not change their methods, but they revised the purpose of their study.
This shaped the structure of Middletown: A Study in Modern American Culture , their published results (Lynd & Lynd, 1929).
The Lynds were upfront about their mission. The townspeople of Muncie, Indiana, knew why the researchers were in their midst. But some sociologists prefer not to alert people to their presence. The main advantage of covert participant observation is that it allows the researcher access to authentic, natural behaviors of a group’s members. The challenge, however, is gaining access to a setting without disrupting the pattern of others’ behavior. Becoming an inside member of a group, organization, or subculture takes time and effort. Researchers must pretend to be something they are not. The process could involve role playing, making contacts, networking, or applying for a job.
Once inside a group, some researchers spend months or even years pretending to be one of the people they are observing. However, as observers, they cannot get too involved. They must keep their purpose in mind and apply the sociological perspective. That way, they illuminate social patterns that are often unrecognized. Because information gathered during participant observation is mostly qualitative, rather than quantitative, the end results are often descriptive or interpretive. The researcher might present findings in an article or book and describe what he or she witnessed and experienced.
This type of research is what journalist Barbara Ehrenreich conducted for her book Nickel and Dimed . One day over lunch with her editor, Ehrenreich mentioned an idea. How can people exist on minimum-wage work? How do low-income workers get by? she wondered. Someone should do a study . To her surprise, her editor responded, Why don’t you do it?
That’s how Ehrenreich found herself joining the ranks of the working class. For several months, she left her comfortable home and lived and worked among people who lacked, for the most part, higher education and marketable job skills. Undercover, she applied for and worked minimum wage jobs as a waitress, a cleaning woman, a nursing home aide, and a retail chain employee. During her participant observation, she used only her income from those jobs to pay for food, clothing, transportation, and shelter.
She discovered the obvious, that it’s almost impossible to get by on minimum wage work. She also experienced and observed attitudes many middle and upper-class people never think about. She witnessed firsthand the treatment of working class employees. She saw the extreme measures people take to make ends meet and to survive. She described fellow employees who held two or three jobs, worked seven days a week, lived in cars, could not pay to treat chronic health conditions, got randomly fired, submitted to drug tests, and moved in and out of homeless shelters. She brought aspects of that life to light, describing difficult working conditions and the poor treatment that low-wage workers suffer.
The book she wrote upon her return to her real life as a well-paid writer, has been widely read and used in many college classrooms.
Ethnography
Ethnography is the immersion of the researcher in the natural setting of an entire social community to observe and experience their everyday life and culture. The heart of an ethnographic study focuses on how subjects view their own social standing and how they understand themselves in relation to a social group.
An ethnographic study might observe, for example, a small U.S. fishing town, an Inuit community, a village in Thailand, a Buddhist monastery, a private boarding school, or an amusement park. These places all have borders. People live, work, study, or vacation within those borders. People are there for a certain reason and therefore behave in certain ways and respect certain cultural norms. An ethnographer would commit to spending a determined amount of time studying every aspect of the chosen place, taking in as much as possible.
A sociologist studying a tribe in the Amazon might watch the way villagers go about their daily lives and then write a paper about it. To observe a spiritual retreat center, an ethnographer might sign up for a retreat and attend as a guest for an extended stay, observe and record data, and collate the material into results.
Institutional Ethnography
Institutional ethnography is an extension of basic ethnographic research principles that focuses intentionally on everyday concrete social relationships. Developed by Canadian sociologist Dorothy E. Smith (1990), institutional ethnography is often considered a feminist-inspired approach to social analysis and primarily considers women’s experiences within male- dominated societies and power structures. Smith’s work is seen to challenge sociology’s exclusion of women, both academically and in the study of women’s lives (Fenstermaker, n.d.).
Historically, social science research tended to objectify women and ignore their experiences except as viewed from the male perspective. Modern feminists note that describing women, and other marginalized groups, as subordinates helps those in authority maintain their own dominant positions (Social Sciences and Humanities Research Council of Canada n.d.). Smith’s three major works explored what she called “the conceptual practices of power” and are still considered seminal works in feminist theory and ethnography (Fensternmaker n.d.).
Sociological Research
The making of middletown: a study in modern u.s. culture.
In 1924, a young married couple named Robert and Helen Lynd undertook an unprecedented ethnography: to apply sociological methods to the study of one U.S. city in order to discover what “ordinary” people in the United States did and believed. Choosing Muncie, Indiana (population about 30,000) as their subject, they moved to the small town and lived there for eighteen months.
Ethnographers had been examining other cultures for decades—groups considered minorities or outsiders—like gangs, immigrants, and the poor. But no one had studied the so-called average American.
Recording interviews and using surveys to gather data, the Lynds objectively described what they observed. Researching existing sources, they compared Muncie in 1890 to the Muncie they observed in 1924. Most Muncie adults, they found, had grown up on farms but now lived in homes inside the city. As a result, the Lynds focused their study on the impact of industrialization and urbanization.
They observed that Muncie was divided into business and working class groups. They defined business class as dealing with abstract concepts and symbols, while working class people used tools to create concrete objects. The two classes led different lives with different goals and hopes. However, the Lynds observed, mass production offered both classes the same amenities. Like wealthy families, the working class was now able to own radios, cars, washing machines, telephones, vacuum cleaners, and refrigerators. This was an emerging material reality of the 1920s.
As the Lynds worked, they divided their manuscript into six chapters: Getting a Living, Making a Home, Training the Young, Using Leisure, Engaging in Religious Practices, and Engaging in Community Activities.
When the study was completed, the Lynds encountered a big problem. The Rockefeller Foundation, which had commissioned the book, claimed it was useless and refused to publish it. The Lynds asked if they could seek a publisher themselves.
Middletown: A Study in Modern American Culture was not only published in 1929 but also became an instant bestseller, a status unheard of for a sociological study. The book sold out six printings in its first year of publication, and has never gone out of print (Caplow, Hicks, & Wattenberg. 2000).
Nothing like it had ever been done before. Middletown was reviewed on the front page of the New York Times. Readers in the 1920s and 1930s identified with the citizens of Muncie, Indiana, but they were equally fascinated by the sociological methods and the use of scientific data to define ordinary people in the United States. The book was proof that social data was important—and interesting—to the U.S. public.
Sometimes a researcher wants to study one specific person or event. A case study is an in-depth analysis of a single event, situation, or individual. To conduct a case study, a researcher examines existing sources like documents and archival records, conducts interviews, engages in direct observation and even participant observation, if possible.
Researchers might use this method to study a single case of a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study as a method is that while offering depth on a topic, it does not provide enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method.
However, case studies are useful when the single case is unique. In these instances, a single case study can contribute tremendous insight. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviors and movements of animals, and often invent their own language. There are only about one hundred cases of “feral children” in the world.
As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of “normal” growth and nurturing. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject.
At age three, a Ukranian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, and she ate raw meat and scraps. Five years later, a neighbor called authorities and reported seeing a girl who ran on all fours, barking. Officials brought Oxana into society, where she was cared for and taught some human behaviors, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice 2011). Case studies like this offer a way for sociologists to collect data that may not be obtained by any other method.
Experiments
You have probably tested some of your own personal social theories. “If I study at night and review in the morning, I’ll improve my retention skills.” Or, “If I stop drinking soda, I’ll feel better.” Cause and effect. If this, then that. When you test the theory, your results either prove or disprove your hypothesis.
One way researchers test social theories is by conducting an experiment , meaning they investigate relationships to test a hypothesis—a scientific approach.
There are two main types of experiments: lab-based experiments and natural or field experiments. In a lab setting, the research can be controlled so that more data can be recorded in a limited amount of time. In a natural or field- based experiment, the time it takes to gather the data cannot be controlled but the information might be considered more accurate since it was collected without interference or intervention by the researcher.
As a research method, either type of sociological experiment is useful for testing if-then statements: if a particular thing happens (cause), then another particular thing will result (effect). To set up a lab-based experiment, sociologists create artificial situations that allow them to manipulate variables.
Classically, the sociologist selects a set of people with similar characteristics, such as age, class, race, or education. Those people are divided into two groups. One is the experimental group and the other is the control group. The experimental group is exposed to the independent variable(s) and the control group is not. To test the benefits of tutoring, for example, the sociologist might provide tutoring to the experimental group of students but not to the control group. Then both groups would be tested for differences in performance to see if tutoring had an effect on the experimental group of students. As you can imagine, in a case like this, the researcher would not want to jeopardize the accomplishments of either group of students, so the setting would be somewhat artificial. The test would not be for a grade reflected on their permanent record of a student, for example.
And if a researcher told the students they would be observed as part of a study on measuring the effectiveness of tutoring, the students might not behave naturally. This is called the Hawthorne effect —which occurs when people change their behavior because they know they are being watched as part of a study. The Hawthorne effect is unavoidable in some research studies because sociologists have to make the purpose of the study known. Subjects must be aware that they are being observed, and a certain amount of artificiality may result (Sonnenfeld 1985).
A real-life example will help illustrate the process. In 1971, Frances Heussenstamm, a sociology professor at California State University at Los Angeles, had a theory about police prejudice. To test her theory, she conducted research. She chose fifteen students from three ethnic backgrounds: Black, White, and Hispanic. She chose students who routinely drove to and from campus along Los Angeles freeway routes, and who had had perfect driving records for longer than a year.
Next, she placed a Black Panther bumper sticker on each car. That sticker, a representation of a social value, was the independent variable. In the 1970s, the Black Panthers were a revolutionary group actively fighting racism. Heussenstamm asked the students to follow their normal driving patterns. She wanted to see whether seeming support for the Black Panthers would change how these good drivers were treated by the police patrolling the highways. The dependent variable would be the number of traffic stops/citations.
The first arrest, for an incorrect lane change, was made two hours after the experiment began. One participant was pulled over three times in three days. He quit the study. After seventeen days, the fifteen drivers had collected a total of thirty-three traffic citations. The research was halted. The funding to pay traffic fines had run out, and so had the enthusiasm of the participants (Heussenstamm, 1971).
Secondary Data Analysis
While sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data analysis . Secondary data does not result from firsthand research collected from primary sources, but are the already completed work of other researchers or data collected by an agency or organization. Sociologists might study works written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines, or organizational data from any period in history.
Using available information not only saves time and money but can also add depth to a study. Sociologists often interpret findings in a new way, a way that was not part of an author’s original purpose or intention. To study how women were encouraged to act and behave in the 1960s, for example, a researcher might watch movies, televisions shows, and situation comedies from that period. Or to research changes in behavior and attitudes due to the emergence of television in the late 1950s and early 1960s, a sociologist would rely on new interpretations of secondary data. Decades from now, researchers will most likely conduct similar studies on the advent of mobile phones, the Internet, or social media.
Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments and global groups, like the U.S. Bureau of Labor Statistics or the World Health Organization (WHO), publish studies with findings that are useful to sociologists. A public statistic like the foreclosure rate might be useful for studying the effects of a recession. A racial demographic profile might be compared with data on education funding to examine the resources accessible by different groups.
One of the advantages of secondary data like old movies or WHO statistics is that it is nonreactive research (or unobtrusive research), meaning that it does not involve direct contact with subjects and will not alter or influence people’s behaviors. Unlike studies requiring direct contact with people, using previously published data does not require entering a population and the investment and risks inherent in that research process.
Using available data does have its challenges. Public records are not always easy to access. A researcher will need to do some legwork to track them down and gain access to records. To guide the search through a vast library of materials and avoid wasting time reading unrelated sources, sociologists employ content analysis , applying a systematic approach to record and value information gleaned from secondary data as they relate to the study at hand.
Also, in some cases, there is no way to verify the accuracy of existing data. It is easy to count how many drunk drivers, for example, are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their GED later.
Another problem arises when data are unavailable in the exact form needed or do not survey the topic from the precise angle the researcher seeks. For example, the average salaries paid to professors at a public school is public record. But these figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they’ve been teaching.
When conducting content analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, when Robert S. Lynd and Helen Merrell Lynd gathered research in the 1920s, attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal insights about small U.S. communities. Today, it is an illustration of 1920s attitudes and values.
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Exploring Real-life Contexts: Types and Applications of Case Studies
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Table of Contents
Have you ever wondered how researchers uncover the intricate details of real-world phenomena? They often use a powerful tool called the case study . This method is like a high-resolution camera, zooming in on a subject to capture its essence in vivid detail. Case studies allow researchers to explore, explain, or describe a subject within its real-life context, revealing insights that might otherwise be lost in broader surveys or experiments. But not all case studies are created equal. They come in different types, each with a unique focus and purpose. Let’s dive into the world of case studies and discover how they help us understand complex issues one case at a time.
What is a case study?
At its core, a case study is an in-depth investigation of a single person, group, event, or community. It’s a research strategy that unpacks the dynamics of a case within its natural environment, often employing multiple sources of evidence. Case studies are particularly useful when the boundaries between the phenomenon being studied and its context are not clearly evident. They can offer a rich understanding of a subject, providing a nuanced perspective that quantitative methods may not capture.
Types of case studies
Case studies are not a one-size-fits-all approach. Depending on the research question and objectives, a case study can be classified into three main types: exploratory, explanatory, and descriptive. Each serves a distinct purpose, and choosing the right type is critical for achieving the research goals.
Exploratory case studies
Setting the stage for further research: Exploratory case studies are like the scouts of the research world. They are conducted when a researcher has identified a potential area of study but needs more information before developing a detailed research plan. These case studies help to identify questions, select measurement constructs, and develop hypotheses.
- When to use: Ideal in the early stages of a research project.
- Methods: Typically involves a flexible research design that can adapt as understanding deepens.
- Examples: A preliminary study of a start-up’s organizational culture or an initial look at a community affected by a new policy.
Explanatory case studies
Unraveling complexities: Explanatory case studies dig deeper into the causes and effects within a case. They are instrumental when a situation is too complex to be understood through a simple cause-and-effect analysis, and they typically address ‘how’ and ‘why’ questions.
- When to use: Suitable for clarifying complex interventions or processes.
- Methods: May employ longitudinal studies to observe outcomes over time.
- Examples: Investigating the success factors of a long-standing social program or analyzing the failure of a major construction project.
Descriptive case studies
Painting a detailed picture: Descriptive case studies are aptly named for their focus on describing the characteristics of a case within its context. These studies follow a structured protocol to ensure comprehensive coverage of all relevant aspects of the case.
- When to use: Ideal for providing a complete, systematic description of a phenomenon.
- Methods: Involves a detailed and in-depth approach, often with predefined data collection methods.
- Examples: A detailed account of a company’s approach to corporate social responsibility or the stages of development in a community-led conservation effort.
Conducting a case study
Embarking on a case study research project is not a decision to be taken lightly. It requires a systematic approach and a clear understanding of the research question. Here are the typical steps a researcher would follow:
Define and select the case
The first step is to identify and define the case that will be studied. This could be based on a unique characteristic, a representative quality, or a particular relevance to the research question. Once the case is selected, the researcher needs to explain why this case is important and what it can reveal about the larger issue.
Develop a theoretical framework
Next, a theoretical framework helps to guide the research. This involves reviewing the literature, identifying relevant theories, and formulating hypotheses or questions that the case study will address. This framework provides a lens through which the data will be interpreted.
Collect data
Data collection is a critical phase in case study research. Researchers may use interviews, observations, documents, and other sources to gather a full picture of the case. The data should be collected systematically and ethically, with a clear record of all sources and methods.
Analyze and interpret data
Once the data is collected, the researcher must organize, sift through, and make sense of it. This involves identifying patterns, crafting narratives, and drawing conclusions. The researcher must remain open to where the data leads, avoiding preconceived notions or biases.
Report findings
The final step is to communicate the findings to a broader audience. This involves crafting a narrative that is compelling and accessible, with clear explanations of how the data led to the conclusions. Visual aids, such as charts or diagrams, can help illustrate complex ideas.
Applications in various fields
Case studies are versatile and can be applied across numerous disciplines. In business, they can shed light on management practices or corporate strategies. In education, they can illustrate pedagogical approaches. In social sciences, they can offer insights into societal issues. And in health sciences, they can help understand patient experiences or treatment outcomes.
Challenges and considerations
While case studies are a valuable research method, they come with their own set of challenges. The depth of analysis required can be time-consuming and resource-intensive. Additionally, the findings from a single case may not be generalizable to other cases. Researchers must be careful to acknowledge these limitations and avoid overgeneralizations.
Case studies are a window into the complexities of real-life situations. They offer a depth of understanding that is invaluable for researchers across various fields. By selecting the appropriate type of case study and following a rigorous methodology, researchers can uncover the nuances and richness of any phenomenon they choose to explore.
What do you think? How might the insights gained from a well-conducted case study influence decisions in your field of interest? Can you think of a situation where a case study would be the ideal research approach?
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Research Methodologies & Methods
1 Logic of Inquiry in Social Research
- A Science of Society
- Comte’s Ideas on the Nature of Sociology
- Observation in Social Sciences
- Logical Understanding of Social Reality
2 Empirical Approach
- Empirical Approach
- Rules of Data Collection
- Cultural Relativism
- Problems Encountered in Data Collection
- Difference between Common Sense and Science
- What is Ethical?
- What is Normal?
- Understanding the Data Collected
- Managing Diversities in Social Research
- Problematising the Object of Study
- Conclusion: Return to Good Old Empirical Approach
3 Diverse Logic of Theory Building
- Concern with Theory in Sociology
- Concepts: Basic Elements of Theories
- Why Do We Need Theory?
- Hypothesis Description and Experimentation
- Controlled Experiment
- Designing an Experiment
- How to Test a Hypothesis
- Sensitivity to Alternative Explanations
- Rival Hypothesis Construction
- The Use and Scope of Social Science Theory
- Theory Building and Researcher’s Values
4 Theoretical Analysis
- Premises of Evolutionary and Functional Theories
- Critique of Evolutionary and Functional Theories
- Turning away from Functionalism
- What after Functionalism
- Post-modernism
- Trends other than Post-modernism
5 Issues of Epistemology
- Some Major Concerns of Epistemology
- Rationalism
- Phenomenology: Bracketing Experience
6 Philosophy of Social Science
- Foundations of Science
- Science, Modernity, and Sociology
- Rethinking Science
- Crisis in Foundation
7 Positivism and its Critique
- Heroic Science and Origin of Positivism
- Early Positivism
- Consolidation of Positivism
- Critiques of Positivism
8 Hermeneutics
- Methodological Disputes in the Social Sciences
- Tracing the History of Hermeneutics
- Hermeneutics and Sociology
- Philosophical Hermeneutics
- The Hermeneutics of Suspicion
- Phenomenology and Hermeneutics
9 Comparative Method
- Relationship with Common Sense; Interrogating Ideological Location
- The Historical Context
- Elements of the Comparative Approach
10 Feminist Approach
- Features of the Feminist Method
- Feminist Methods adopt the Reflexive Stance
- Feminist Discourse in India
11 Participatory Method
- Delineation of Key Features
12 Types of Research
- Basic and Applied Research
- Descriptive and Analytical Research
- Empirical and Exploratory Research
- Quantitative and Qualitative Research
- Explanatory (Causal) and Longitudinal Research
- Experimental and Evaluative Research
- Participatory Action Research
13 Methods of Research
- Evolutionary Method
- Comparative Method
- Historical Method
- Personal Documents
14 Elements of Research Design
- Structuring the Research Process
15 Sampling Methods and Estimation of Sample Size
- Classification of Sampling Methods
- Sample Size
16 Measures of Central Tendency
- Relationship between Mean, Mode, and Median
- Choosing a Measure of Central Tendency
17 Measures of Dispersion and Variability
- The Variance
- The Standard Deviation
- Coefficient of Variation
18 Statistical Inference- Tests of Hypothesis
- Statistical Inference
- Tests of Significance
19 Correlation and Regression
- Correlation
- Method of Calculating Correlation of Ungrouped Data
- Method Of Calculating Correlation Of Grouped Data
20 Survey Method
- Rationale of Survey Research Method
- History of Survey Research
- Defining Survey Research
- Sampling and Survey Techniques
- Operationalising Survey Research Tools
- Advantages and Weaknesses of Survey Research
21 Survey Design
- Preliminary Considerations
- Stages / Phases in Survey Research
- Formulation of Research Question
- Survey Research Designs
- Sampling Design
22 Survey Instrumentation
- Techniques/Instruments for Data Collection
- Questionnaire Construction
- Issues in Designing a Survey Instrument
23 Survey Execution and Data Analysis
- Problems and Issues in Executing Survey Research
- Data Analysis
- Ethical Issues in Survey Research
24 Field Research – I
- History of Field Research
- Ethnography
- Theme Selection
- Gaining Entry in the Field
- Key Informants
- Participant Observation
25 Field Research – II
- Interview its Types and Process
- Feminist and Postmodernist Perspectives on Interviewing
- Narrative Analysis
- Interpretation
- Case Study and its Types
- Life Histories
- Oral History
- PRA and RRA Techniques
26 Reliability, Validity and Triangulation
- Concepts of Reliability and Validity
- Three Types of “Reliability”
- Working Towards Reliability
- Procedural Validity
- Field Research as a Validity Check
- Method Appropriate Criteria
- Triangulation
- Ethical Considerations in Qualitative Research
27 Qualitative Data Formatting and Processing
- Qualitative Data Processing and Analysis
- Description
- Classification
- Making Connections
- Theoretical Coding
- Qualitative Content Analysis
28 Writing up Qualitative Data
- Problems of Writing Up
- Grasp and Then Render
- “Writing Down” and “Writing Up”
- Write Early
- Writing Styles
- First Draft
29 Using Internet and Word Processor
- What is Internet and How Does it Work?
- Internet Services
- Searching on the Web: Search Engines
- Accessing and Using Online Information
- Online Journals and Texts
- Statistical Reference Sites
- Data Sources
- Uses of E-mail Services in Research
30 Using SPSS for Data Analysis Contents
- Introduction
- Starting and Exiting SPSS
- Creating a Data File
- Univariate Analysis
- Bivariate Analysis
31 Using SPSS in Report Writing
- Why to Use SPSS
- Working with SPSS Output
- Copying SPSS Output to MS Word Document
32 Tabulation and Graphic Presentation- Case Studies
- Structure for Presentation of Research Findings
- Data Presentation: Editing, Coding, and Transcribing
- Case Studies
- Qualitative Data Analysis and Presentation through Software
- Types of ICT used for Research
33 Guidelines to Research Project Assignment
- Overview of Research Methodologies and Methods (MSO 002)
- Research Project Objectives
- Preparation for Research Project
- Stages of the Research Project
- Supervision During the Research Project
- Submission of Research Project
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GHG emission quantification and reduction pathway of subway shield tunnel engineering: a case study on Guangzhou Metro, China
- Research Article
- Published: 31 August 2024
Cite this article
- Huanyu Wu 1 , 2 , 3 ,
- Kehua Yang 1 , 2 ,
- Kunyang Chen ORCID: orcid.org/0000-0003-4406-4869 1 , 3 , 4 ,
- Wenwen Zhou 1 , 2 ,
- Tao Yu 5 &
- Kai Wang 6
The shield method is a commonly used construction technique in subway tunnel engineering. However, studies on greenhouse gas (GHG) emissions specifically in subway shield tunnel engineering are lacking. This study aims to investigate the GHG emission characteristics and GHG reduction pathways during the construction period of subway shield tunnels. Firstly, based on the life cycle assessment (LCA) method, a greenhouse gas (GHG) emission quantification model for the shield tunnel construction period was developed using a multi-level decomposition of construction. Then, the GHG emission level and intensity during the construction period of a case project are quantified, and its emission characteristics and GHG reduction potential points are assessed. Finally, a comprehensive path for GHG reduction in subway shield tunnel engineering is proposed. The research results indicate that constructing 1 km of subway shield tunnel can generate 19,294.28 t CO 2 eq. Among these, material production element dominates the emissions with a percentage of 89.05%, while transportation and mechanical construction elements contribute 1.81% and 9.14%, respectively. From the structure perspective, the main structure contributes 88.73% of total emissions, while the ancillary structure contributes 11.27%. Among them, the working shaft and tunnel segments are the main sources of emissions for the main structure, accounting for 23.65% and 65.08%, respectively. Connecting channel and end reinforcement are the main emission sources of the ancillary structures, accounting for 43.63% and 31.30%, respectively. These findings provide a scientific foundation for the environmentally friendly transformation of urban railway development regarding pursuing “carbon peaking and carbon neutrality” strategic goals.
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Data availability
The datasets on which the conclusions of the paper rely are presented in the Appendix.
Abbreviations
Greenhouse gas
Life cycle assessment
Life cycle inventory
Life cycle impact assessment
Carbon dioxide equivalent
International Organization for Standardization
Intergovernmental Panel on Climate Change
Global warming potential
Acidification potential
Eutrophication potential
Harm to human health
Photochemical oxidant production potential
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Acknowledgements
The authors would like to thank the Shenzhen Science and Technology Innovation Commission Project (No. 20220811111306001) and the Research Project of Shenzhen THSWARE Technology Co., Ltd.—Tunnel Engineering Carbon Emissions Calculation and GHG reduction Path Research (No. 2023238).
This work was financially supported by the Shenzhen Science and Technology Innovation Commission Project (No. 20220811111306001) and the Research Project of Shenzhen THSWARE Technology Co., Ltd.—Tunnel Engineering Carbon Emissions Calculation and GHG reduction Path Research (No. 2023238).
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College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China
Huanyu Wu, Kehua Yang, Kunyang Chen & Wenwen Zhou
Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen, 518061, China
Huanyu Wu, Kehua Yang & Wenwen Zhou
National Key Laboratory for Intelligent Construction and Maintenance of Extreme Environment Geotechnical and Tunnel Engineering, Shenzhen, 518061, China
Huanyu Wu & Kunyang Chen
Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Subway Station, Shenzhen, China
Kunyang Chen
Shenzhen TH SWARE Technology Co., Shenzhen, 518057, China
Shaanxi Railway Institute, Weinan, 714000, Shanxi, China
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All authors contributed to the study conception and design. Methodology and funding acquisition were handled by Huanyu Wu. Data collation and visualization were undertaken by Kunyang Chen, Kehua Yang, and Wenwen Zhou. The first draft of the manuscript was written by Huanyu Wu and Kehua Yang, and all authors commented on previous versions of the manuscript. Writing (review and editing) and conceptualization were performed by Kunyang Chen. Supervision and resources were provided by Tao Yu and Kai Wang. All authors read and approved the final manuscript.
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Correspondence to Kunyang Chen .
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Appendix 1 Calculation table of material production element
Material type | Consumption | Emission factors (kg CO eq/unit) | Attrition rate | GHG emissions (t CO eq) |
Aggregates, m | 77.82 | 3.27 | 0.2 | 0.26 |
Steel molding and scaffolding, t | 162.00 | 10.63 | 0.01 | 1.72 |
Cement mortar, m | 35.62 | 393.65 | 0.3 | 14.02 |
Sands, m | 15,586.37 | 3.51 | 0.5 | 54.71 |
Woods, m | 405.80 | 146.30 | 0.01 | 59.37 |
Ironware, t | 93.54 | 1700.00 | 0.15 | 159.02 |
Glass fiber reinforcement, t | 76.78 | 3940.00 | 0.17 | 302.51 |
Steel plates and tubes, t | 223.31 | 2400.00 | 0.17 | 535.95 |
Medium-sized steel, t | 1362.45 | 2365.00 | 0.17 | 3222.20 |
Concrete, m | 12,857.00 | 346.46 | 0.1 | 4454.47 |
Steel, t | 2266.00 | 2340.00 | 0.01 | 5302.44 |
42.5# cement, t | 16,222.94 | 735.00 | 0.1 | 11,923.86 |
Precast components, r (two-line) | 3875.00 | 7444.59 | 0.01 | 28,847.79 |
Total (t CO eq) | 54,878.32 |
- a Sourced from Standard for building carbon emission calculation: GB/T 51366-2019 ( n.d. ) and the local GaBi database
- b Sourced from literature calculations (Wang et al. 2019 ; Chen et al. 2022a , 2022b , 2022c )
Appendix 2 Calculation table of the transportation element
Types of materials transported | Consumption | Type of transport | GHG emissions (t CO eq) | |
Road transport | Rail transport | |||
Aggregates, m | 77.82 | 84 | - | 1.17 |
1:3 cement mortar, m | 35.62 | 50 | - | 0.32 |
Sands, m | 15,586.37 | 75 | - | 209.25 |
Woods, m | 405.80 | 47 | - | 3.41 |
Concrete, m | 12,857.00 | 50 | - | 115.07 |
Ironware, t | 162.00 | 134 | 1120 | 5.70 |
Glass fiber reinforcement, t | 93.54 | 134 | 1120 | 3.29 |
Steel plates and tubes, t | 76.78 | 134 | 1120 | 2.70 |
Medium-sized steel, t | 223.31 | 134 | 1120 | 7.86 |
Concrete, m | 1362.45 | 153 | - | 37.31 |
Steel, t | 2266.00 | 134 | 1120 | 79.73 |
42.5# cement, t | 16,222.94 | 120 | - | 348.47 |
Precast components, r (two-line) | 3875.00 | 537 | 1120 | 415.54 |
Total (t CO eq) | 1229.83 |
- The GHG emission factors for diesel lorries and rail transport are 0.179 and 0.010 kg CO 2 eq/(t·km), respectively ( Standard for building carbon emission calculation GB/T 51366-2019 ( n.d. ))
Appendix 3 Calculation table of mechanical construction element
Type of construction machinery | Diesel consumption, t | Petrol consumption, t | Electricity consumption, mW·h | GHG emissions (t CO eq) |
Protective structure machinery | 224.54 | 12.20 | 421.11 | 1069.52 |
Shield construction machinery | 211.10 | 10.87 | 1115.62 | 1582.54 |
Foundation pit excavation machinery | 187.92 | 21.23 | 48.31 | 682.75 |
Earth and stone transport | 194.65 | 10.43 | - | 633.14 |
Steel processing machinery | - | - | 318.12 | 255.83 |
Lifting and hoisting machinery | 153.10 | - | 165.84 | 607.37 |
Formwork processing machinery | - | - | 259.34 | 208.56 |
Pumping & draining machinery | - | - | 738.40 | 593.82 |
Total (t CO eq) | 971.31 | 54.73 | 3066.74 | 5633.53 |
- GHG emission factors of 3.096, 2.925, and 0.8042 (kg CO 2 eq/unit) for diesel, gasoline, and electric energy, respectively (Chen et al. 2022a , 2022b , 2022c )
Appendix 4. Table of GHG emissions by sub-project
Project | Sub-project type | M | T | O | Total (t CO eq) | |
Main construction |
| 35,835.54 | 724.54 | 3622.92 | 40,183.00 | 54,785.37 |
| 13,258.61 | 337.05 | 1006.71 | 14,602.37 | ||
Ancillary construction |
| 1734.15 | 54.81 | 388.41 | 2177.37 | 6956.31 |
| 2601.23 | 69.63 | 364.01 | 3034.87 | ||
| 1448.79 | 43.80 | 251.48 | 1744.07 | ||
Total (t CO eq) | 54,878.32 | 1229.83 | 5633.53 | 61,741.68 |
- M for material production; T for transportation; C for mechanical construction machinery
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Wu, H., Yang, K., Chen, K. et al. GHG emission quantification and reduction pathway of subway shield tunnel engineering: a case study on Guangzhou Metro, China. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-34826-1
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DOI : https://doi.org/10.1007/s11356-024-34826-1
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