Importance of case study method in social research

Case study method is one of the methods of investigation. Originally case method was used in medicine. The physician used to maintain a record of treatment and health conditions of each patient. The cause-effect relationship is established and exceptions there to are also noted down. The basic unit of case study is a case — a particular one of its kind. It may be a single business unit or a whole group of business units in an area or a single producer or a group of producers or a single consumer or a group of consumers and so on.
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The case study approach

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Case Study Research - Definition, Methods, Example

A case study involves an up-close, in-depth, and detailed examination of a particular case or cases, within a real-world context. Generally, a case study can highlight nearly any individual, group, organization, event, belief system, or action. Case study research has been extensively practiced in both the social and natural sciences. As with other social science methods, no single research design dominates case study research. Case studies can use at least four types of designs. First, there may be a "no theory first" type of case study design, which is closely connected to Kathleen M.
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The importance of case studies in social research

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.
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For instance, patterns might develop in the data. Although descriptive statistics help us digest data, they do not allow us to reach a conclusion as regards to any hypotheses that we have developed. Overall, descriptive statistics quantitatively explains structures of a data set. On the other hand, there is a technique that looks at a large population and takes a small sample of that population and makes generalizations within that population that was drawn, this would be known as inferential Statistics. This process is very helpful when it could be very troublesome or unlikely to examine each member of an entire population.
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