What is a case study research design and methods?

What is a case study research design and methods?

A case study is a research approach that is used to generate an in-depth, multi-faceted understanding of a complex issue in its real-life context. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences.

How do you write a case study methodology?

1. Step 1: Select a case. 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.
2. Step 2: Build a theoretical framework.
3. Step 3: Collect your data.
4. Step 4: Describe and analyze the case.

What are the types of case?

In modern English, there are only three kinds of cases.

• Subjective Case.
• Objective Case.
• Possessive Case.

What is meant by a case study?

a case study can be defined as an intensive study about a person, a group of people or a unit, which is aimed to generalize over several units’.1 A case study has also been described as an intensive, systematic investigation of a single individual, group, community or some other unit in which the researcher examines in …

What are the sources of case study?

Case study evidence may come from six sources: documents, archival records, interviews, direct observation, participant-observation, and physical artifacts. Using these six sources calls for mastering different data collection procedures.

What is a good sample size?

A good maximum sample size is usually 10% as long as it does not exceed 1000. A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200,000, 10% would be 20,000.

What is the sample size formula?

n = N*X / (X + N – 1), where, X = Zα/22 *p*(1-p) / MOE2, and Zα/2 is the critical value of the Normal distribution at α/2 (e.g. for a confidence level of 95%, α is 0.05 and the critical value is 1.96), MOE is the margin of error, p is the sample proportion, and N is the population size.