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Methodologies of case studies
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Palgrave Connect (Online service)
Methodologies of case studies
Record Type:
Electronic resources : Monograph/item
Title/Author:
Methodologies of case studies/ Ingo Rohlfing.
Author:
Rohlfing, Ingo.
Published:
Basingstoke :Palgrave Macmillan, : 2012.,
Description:
1 v. ;22 cm.;
Subject:
Qualitative research - Methodology. -
Online resource:
An electronic book accessible through the World Wide Web; click for information
ISBN:
9781137271327 (electronic bk.)
Methodologies of case studies
Rohlfing, Ingo.
Methodologies of case studies
[electronic resource] /Ingo Rohlfing. - Basingstoke :Palgrave Macmillan,2012. - 1 v. ;22 cm. - Research methods series.
Introduction -- Case, Case Study, and Causality: Core Concepts and Fundamentals -- Types of Case Study and Case Selection -- Forms and Problems of Comparisons -- Enhancing Causal Inference in Comparisons -- Process Tracing: Theory, Temporality, and Method -- From Evidence to Inference: Uses of Sources and Counterfactuals -- Frequentist and Bayesian Causal Inference in Tests of Hypotheses -- External Validity: Challenges and Strategies -- Conclusion: Guided by Theory, Moving Forward Step by Step --.
Case Studies and Causal Inference delivers a self-contained and balanced discussion of the case study method on the basis of an integrative, but clear-cut framework for small-n research. It deals with case studies that develop new hypotheses for hitherto unexplained phenomena, perform classic hypothesis testing, and address puzzles in order to refine existing hypotheses. The framework further covers small-n research concerned with a range of causal effects (correlations and set relations), causal mechanisms, and the integration of both in causal explanations. By applying the framework to all steps in the research process, Rohlfing demonstrates how it can contribute to the rigor of empirical case studies and the advancement of social science theory. On the methodological side, the integrative perspective forms the basis for improving the case study method in multiple directions. Throughout the book, arguments are illustrated with numerous empirical examples from political science, public administration, and sociology.
Electronic reproduction.
Basingstoke, England :
Palgrave Macmillan,
2012.
Mode of access: World Wide Web.
ISBN: 9781137271327 (electronic bk.)
Source: 386697Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:
193219
Qualitative research
--Methodology.Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: H62
Dewey Class. No.: 001.433
Methodologies of case studies
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Introduction -- Case, Case Study, and Causality: Core Concepts and Fundamentals -- Types of Case Study and Case Selection -- Forms and Problems of Comparisons -- Enhancing Causal Inference in Comparisons -- Process Tracing: Theory, Temporality, and Method -- From Evidence to Inference: Uses of Sources and Counterfactuals -- Frequentist and Bayesian Causal Inference in Tests of Hypotheses -- External Validity: Challenges and Strategies -- Conclusion: Guided by Theory, Moving Forward Step by Step --.
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Case Studies and Causal Inference delivers a self-contained and balanced discussion of the case study method on the basis of an integrative, but clear-cut framework for small-n research. It deals with case studies that develop new hypotheses for hitherto unexplained phenomena, perform classic hypothesis testing, and address puzzles in order to refine existing hypotheses. The framework further covers small-n research concerned with a range of causal effects (correlations and set relations), causal mechanisms, and the integration of both in causal explanations. By applying the framework to all steps in the research process, Rohlfing demonstrates how it can contribute to the rigor of empirical case studies and the advancement of social science theory. On the methodological side, the integrative perspective forms the basis for improving the case study method in multiple directions. Throughout the book, arguments are illustrated with numerous empirical examples from political science, public administration, and sociology.
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