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

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Presentation on theme: "Case Studies Segments 32,33,34. Case Study Process - Overview."— Presentation transcript:

1 Case Studies Segments 32,33,34

2 Case Study Process - Overview

3 CASE STUDY PROCESS - PLAN

4 2 PART DEFINITION OF CASE STUDIES 1) 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

5 Case study process - design

6 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

7 Illustration of Case Study Topics

8 How to generalize from case studies

9 Basic types of designs for case studies

10 Case study design -prepare

11 Example TOC of case study protocol – innovative law enforcement practices

12 Case Study Protocol – question levels

13 Design v. Data Collection: different units of analysis

14 Case study Design - Collect

15 Six sources of evidence

16 Convergence / non-convergence of multiple sources of evidence

17 Maintaining a chain of evidence

18 Case Study Design -Analyze

19 4 analysis strategies 1. 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

20 5 analytical techniques 1. 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

21 Case Study Design - Share


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