Case Studies Segments 32,33,34. Case Study Process - Overview.

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Case Studies Segments 32,33,34

Transcript of Case Studies Segments 32,33,34. Case Study Process - Overview.

Page 1: Case Studies Segments 32,33,34. Case Study Process - Overview.

Case StudiesSegments 32,33,34

Page 2: Case Studies Segments 32,33,34. Case Study Process - Overview.

Case Study Process - Overview

Page 3: Case Studies Segments 32,33,34. Case Study Process - Overview.

CASE STUDY PROCESS - PLAN

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2 PART DEFINITION OF CASE STUDIES1) A case study is an empirical inquiry that:

Investigates a contemporary phenomenon in depth and within the real-life context, especially when

The boundaries between phenomenon and context are not clearly evident.

2) The case study inquiry: Copes with the technically distinctive situation in which there will be many

more variables of interest than data points, and as one result Relies on multiple sources of evidence, with data needing to converge in a

triangulating fashion, and as another result Benefits from the prior development of theoretical propositions to guide data

collection and analysis

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Case study process - design

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5 components of case study design• For case studies, five components of a research design are especially

important:1. A study’s questions

2. A study’s propositions

3. A study’s units of analysis

4. The logic linking the data to the propositions

5. The criteria for interpreting the findings

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Illustration of Case Study Topics

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How to generalize from case studies

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Basic types of designs for case studies

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Case study design -prepare

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Example TOC of case study protocol – innovative law enforcement practices

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Case Study Protocol – question levels

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Design v. Data Collection: different units of analysis

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Case study Design - Collect

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Six sources of evidence

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Convergence / non-convergence of multiple sources of evidence

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Maintaining a chain of evidence

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Case Study Design -Analyze

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4 analysis strategies1. Relying on theoretical

propositions (does your data fit the theory you started with?)

2. Developing a case description (used only when the case study was originally descriptively planned)

3. Use both qualitative and quantitative data (if the data is analyzed both ways)

4. Examine rival expectations

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5 analytical techniques1. Pattern matching – compare empirically based patterns with

predicted ones

2. Explanation building – create a causal link from the ‘what’ to the ‘why’

3. Time-series analysis – look a the same thing(s) again & again over time

4. Logic models – stipulate a chain of events over an extended period of time

5. Cross-case synthesis – merge two cases together to create a stronger conclusion

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Case Study Design - Share