Rethinking Social Inquiry: Diverse Tools, Shared Standards

Rethinking Social Inquiry: Diverse Tools, Shared Standards

Hardcover(Second Edition)

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Product Details

ISBN-13: 9781442203433
Publisher: Rowman & Littlefield Publishers, Inc.
Publication date: 09/16/2010
Edition description: Second Edition
Pages: 428
Product dimensions: 6.40(w) x 9.30(h) x 1.20(d)

About the Author

Henry E. Brady is dean of the Goldman School of Public Policy and Class of 1941 Monroe Deutsch Professor of Political Science and Public Policy at the University of California at Berkeley. He is currently president of the American Political Science Association. David Collier is Robson Professor of Political Science at the University of California at Berkeley.

Table of Contents

Introduction to the Second Edition: A Sea Change in Political Methodology

Part I: A Debate on Methodology
A. Framing the Debate
1. Refocusing the Discussion of Methodology
2. The Quest for Standards: King, Keohane, and Verba's Designing Social Inquiry

B. Critiques of the Quantitative Template
3. Doing Good and Doing Better: How Far Does the Quantitative Template Get Us?
4. Some Unfulfilled Promises of Quantitative Imperialism
5. How Inference in the Social (but Not the Physical) Sciences Neglects Theoretical Anomaly

C. Linking the Quantitative and Qualitative Traditions
6. Bridging the Quantitative-Qualitative Divide
7. The Importance of Research Design

D. Diverse Tools, Shared Standards
8. Critiques, Responses, and Trade-Offs: Drawing Together the Debate
9. Sources of Leverage in Causal Inference: Toward an Alternative View of Methodology

Part II. Causal Inference: Old Dilemmas, New Tools

Introduction to Part II

E. Qualitative Tools for Causal Inference
10. Process Tracing and Causal Inference
11. On Types of Scientific Inquiry: The Role of Qualitative Reasoning
12. Data-Set Observations versus Causal-Process Observations: The 2000 U.S. Presidential Election
Addendum: Teaching Process Tracing

F. Quantitative Tools for Causal Inference
13. Regression-Based Inference: A Case Study in Failed Causal Assessment
14. Design-Based Inference: Beyond the Pitfalls of Regression Analysis?


Reading Group Guide

—Simple, straightforward presentation of complex material with a minimum of technical jargon and mathematical notation

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