Quantifying the qualitative : information theory for comparative case analysis

By:

Drozdova, Katya

Contributor(s):

Gaubatz, Kurt Taylor

Material type: Text

9781483392479
1483392473

Subject(s):

DDC classification:

300.72 DRO

Contents:

Enhancing Small-n Analysis: Information Theory and the Method of Structured-Focused Comparison -- The Information Revolution -- Case Selection -- The Information Method: If You Can Count, You Can Do It -- Information Metrics at Work: Three Examples -- Sensitivity Analysis: Entropy, Inference, and Error -- The QCA Connection -- Conclusion.

Summary: With clear, step-by-step examples and inclusion of techniques that can be applied to a variety of settings, this book lays out a systematic approach to comparative case analysis based on fundamental insights of information theory

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	300.72 DRO (Browse shelf(Opens below))	Available		015486

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Previous	300.72 BER Qualitative research methods for the social sciences	300.72 CHA Constructing grounded theory /	300.72 DEV Research design in social research	300.72 DRO Quantifying the qualitative : information theory for comparative case analysis	300.72 INT IBM SPSS for introductory statistics : use and interpretation	300.72 NUR Nurtured by knowledge : learning to do participatory action-research	300.72 RES Research methods in the social sciences	Next

Includes index

Enhancing Small-n Analysis: Information Theory and the Method of Structured-Focused Comparison --
The Information Revolution --
Case Selection --
The Information Method: If You Can Count, You Can Do It --
Information Metrics at Work: Three Examples --
Sensitivity Analysis: Entropy, Inference, and Error --
The QCA Connection --
Conclusion.

With clear, step-by-step examples and inclusion of techniques that can be applied to a variety of settings, this book lays out a systematic approach to comparative case analysis based on fundamental insights of information theory

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