1) Case – represents somehow the interesting topic of the study empirically (e.g. the role of the United States in the world economy)
2) Unit of analysis – is the actual source of information: individual, organizational document, artifact, for example (e.g. the capital flow between countries, an economic policy)
1) Cases:
A) Single cases – if case seems to represent a critical test to existing theory; rare or unique events -> Important to select case & unit of analysis properly
B) Multiple cases – if a “replication logic” is supposed to reveal support for theoretically
Similar results
Contrasting results for predictable reasons
-> Theoretical framework must identify clearly the conditions, when a particular phenomenon is likely to be found (i.) and when it is not likely (ii.)
-> Theoretical framework is the vehicle for generalizing to new cases; if empirical cases do not work as predicted, modifications must be made to the theory
-> Number of case replications depends upon the certainty wanted to achieve & richness of the underlying theoretical propositions
2) Units of analysis:
A) Holistic designs – include a single unit of analysis; if aim is to study the global nature of the phenomenon; when no logical sub-units can be pointed -> danger of abstractness
B) Embedded designs – include multiple units of analysis; study may include main & smaller units on different levels -> looking for consistent patterns of evidence across units, but within a case
Note: The flexibility of case study design is in selecting cases different from those initially identified, not in changing the purpose or objectives of the study to suit the cases
2) Unit of analysis – is the actual source of information: individual, organizational document, artifact, for example (e.g. the capital flow between countries, an economic policy)
1) Cases:
A) Single cases – if case seems to represent a critical test to existing theory; rare or unique events -> Important to select case & unit of analysis properly
B) Multiple cases – if a “replication logic” is supposed to reveal support for theoretically
Similar results
Contrasting results for predictable reasons
-> Theoretical framework must identify clearly the conditions, when a particular phenomenon is likely to be found (i.) and when it is not likely (ii.)
-> Theoretical framework is the vehicle for generalizing to new cases; if empirical cases do not work as predicted, modifications must be made to the theory
-> Number of case replications depends upon the certainty wanted to achieve & richness of the underlying theoretical propositions
2) Units of analysis:
A) Holistic designs – include a single unit of analysis; if aim is to study the global nature of the phenomenon; when no logical sub-units can be pointed -> danger of abstractness
B) Embedded designs – include multiple units of analysis; study may include main & smaller units on different levels -> looking for consistent patterns of evidence across units, but within a case
Note: The flexibility of case study design is in selecting cases different from those initially identified, not in changing the purpose or objectives of the study to suit the cases
Thanks