Case design, case selection, types of case studies Flashcards
Why is it important to select cases purposefully in qualitative research?
- To avoid selection bias and faulty generalisations
- Random sampling is often not an option in qualitative research, due to the small number of cases or because it is theoretically not desirable
- The cases you choose determine the answer you get
Case selection on the dependent variable
Can lead to jumping to conclusions that any characteristic that the selected cases share is a cause. It can be useful for the development of new theories or the indentification of plausible causal variables.
Types of case study designs
- Case-centred case studies
- Theory centered case studies
Case-centred case studies
- The aim is to describe, explain, interpret, and/or understand a single case as an end in itself and not as a way for developing broader theoretical generalisations
- Should still be theory-guided
- Mainly uses within-case evidence
- Usually Y-centred
- More deterministic way of understanding causal relations
- Often focuses on rare events
Theory centred case studies
- A case study is theory centred when it contributes to the advancement of a general theory
- Exploratory/hypothesis generating or modifying case study
- Confirmatory/hypothesis testing case studies
Hypothesis building
No existing theory you build on
1. Formulating concepts
2. Selecting case
3. Exploratory empirical analysis
4. Formulating hypothesis
Hypothesis testing
(No) theory to build on
1. Formulating concepts
2. Formulating hypothesis
3. Selecting cases
4. Confirmatory empirical analysis
5. Evaluating hypothesis
Theory based case selection strategies
- Most similar (different outcome) case study design
- Most different (same outcome) case study design
- Crucial case study designs
a. Most likely case study design
b. Least likely case study design
Distribution based case selection strategies
- Typical case study design
- Diverse case study design
- Extreme case study design
- Deviant case study design (partly theory-based as well)
- Influential case study design
Hypothesis modifying
Theory to build on
1. Formulating concepts
2. Choosing hypothesis for modification
3. Selecting cases
4. Exploratory empirical analysis
5. Refining hypothesis
How to choose a case for case study analysis?
- Useful variation on the dimensions of theoretical interest in X and Y
- Represenativeness (external validity)
- There is a theoretical or empirical puzzle
Most similar (different outcome) case studies
Look at cases that are most similar on most of the independent variables, but have a different outcome and one different independent variable. This one different independent variable would then be the causal factor.
1. Objective for case selection is variation
2. Selection of at least 2 cases
3. Used to identify and test causal effects between X and Y
4. Identification of most similar cases is done through crosstabulation for small-N studies (two criterias and select cases from that). For large-N studies matching strategies vs. control variable approach.
Most different (similar outcome) case study designs
Same outcome with very different cases. The cases differ on everything, except for one independent variable. This is then the factor that makes it so the outcome is the same.
1. Objective for case selection is variation
2. Selection of at least 2 cases
3. Used to identify and test causal effects between X and Y
4. Identification of most similar cases is done through crosstabulation for small-N studies (two criterias and select cases from that). For large-N studies matching strategies vs. control variable approach.
Crucial case study designs
Based on most-likely or least-likely study designs. They can be useful for testing theories (exploratory research design).
1. Objective for case selection is (un)representativeness.
2. Based on the assumption that most cases are more important for testing theories than others
3. Best to test hypotheses of the necessary/sufficient condition type
4. Sinatra inference; If I can make it there, I can make it anywhere. Least likely cases would be used to confirm a theory, most likely cases would be used to disconfirm a theory (Reverse Sinatra).
5. Identifying most/least likely cases is based on prior theoretical expectations as how how X and Y should relate, and scope conditions (subset of cases to which theory applies) the original theory states.
Typical case study
Focuses on a case that is an example of a stable cross-case relationship.
1. Objective for case selection is representativeness.
2. Puzzle of interest is within-case. It is the identification of causal mechanism, validation of a causal mechanism or disconfirmation of a causal mechanism.
3. Typical cases are identified by a theoretically expected score on X and Y and have a high representativeness of other cases in the population for small-N studies. For large-N studies they are identified by a random selection of cases based on the smallest possible distance between the predicted value and the actually measured value.