Redesigning Social Inquiry · Fuzzy Sets and Beyond by Ragin, Charles C. -- Read -- Imperial Library of Trantor

Index

Title Page Copyright Page Table of Contents Acknowledgements Introduction PART I - Set-Theoretic versus Correlational Connections

1: Set Relations in Social Research - Basics Concepts

The Nature of Set Relations Set-Theoretic Connections Are Asymmetrical Two Important Types of Set-Theoretic Relations How Correlational Methods Sometimes Miss Connections Qualitative Comparative Analysis and Explicit Connections Looking Ahead Practical Appendix: Constructing Truth Tables

2: Fuzzy Sets and Fuzzy-Set Relations

The Nature of Fuzzy Sets Using Fuzzy Sets: The Basics Fuzzy-Set Relations Looking Ahead Practical Appendix: Fuzzy-Set Relations

3: Evaluating Set Relations - Consistency and Coverage

Set-Theoretic Consistency Set-Theoretic Coverage Partitioning Coverage Looking Ahead

PART II - Calibration versus Measurement

4: Why Calibrate?

What Is Calibration? Common Measurement Practices in Quantitative Research Common Measurement Practices in Qualitative Research Fuzzy Sets: A Bridge between the Two Approaches Differences between Fuzzy Sets and Conventional Variables Looking Ahead

5: Calibrating Fuzzy Sets

Transforming Interval-Scale Variables into Fuzzy Sets The Direct Method of Calibration The Indirect Method of Calibration Using Calibrated Measures Conclusion Practical Appendix: Using fsQCA to Calibrate Fuzzy Sets (Direct Method)

PART III - Configurations of Conditions versus “Independent” Variables

6: Configurational Thinking

Configurational Thinking and Case-Oriented Research Configurations and Conventional Quantitative Analysis Assessing Degree of Membership in a Configuration Comparing Causal Recipes Practical Appendix: How to Assess a Causal Recipe

7: Configurational Analysis Using Fuzzy Sets and Truth Tables

Fuzzy Sets and Truth Tables The Correspondence between Vector Space Corners and Truth Table Rows The Distribution of Cases across Causal Combinations Assessing the Consistency of Fuzzy Subset Relations Analyzing the Truth Table Why Not Simply Dichotomize Fuzzy Sets? Conclusion Practical Appendix: The Fuzzy-Set Truth Table Procedure

PART IV - Analysis of Causal Complexity versus Analysis of Net Effects

Counterfactual Cases A Formal Approach to the Problem of Matched Cases Counterfactual Cases and Qualitative Comparative Analysis Contrasts with Conventional Quantitative Research

9: Easy versus Difficult Counterfactuals

Easy Counterfactuals and QCA Demonstration Counterfactual Analysis and Case-Oriented Research Practical Appendix: Deriving Intermediate Solutions Using fsQCA

10: The Limitations of Net-Effects Thinking

Net-Effects Thinking Problems with Net-Effects Thinking Shifting the Focus to Kinds of Cases Comparing Configurations Fuzzy Sets and Configurational Analysis Looking Ahead

11: Net Effects versus Configurations: - An Empirical Demonstration coauthored ...

A Net-Effects Analysis of the Bell Curve Data A Reanalysis of the Bell Curve Data Using fsQCA Discussion Practical Appendix: Calibrations Used in the Fuzzy-Set Analysis

REFERENCES