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Rethinking Social Inquiry: Diverse Tools, Shared Standards 豆 9.2分
资源最后更新于 2020-09-12 16:10:37
作者:Henry Brady
出版社:Rowman & Littlefield Publishers
出版日期:2010-01
ISBN:9781442203440
文件格式: pdf
标签: 方法论 社会学 methodology 社会科学 政治学 研究方法 政治社会学 Sociology
简介· · · · · ·
With innovative new chapters on process tracing, regression analysis, and natural experiments, the second edition of Rethinking Social Inquiry further extends the reach of this path-breaking book. The original debate with King, Keohane, and Verba_now updated_remains central to the volume, and the new material illuminates evolving discussions of essential methodological tools. T...
目录
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?
Glossary
Bibliography
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?
Glossary
Bibliography