A Tale of Two Cultures : : Qualitative and Quantitative Research in the Social Sciences / / Gary Goertz, James Mahoney.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
• VerfasserIn: Goertz, Gary,; Mahoney, James,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2012]; ©2013
• Year of Publication: 2012
• Edition: Core Textbook
• Language: English
• Physical Description: 1 online resource (248 p.) :; 17 line illus. 17 tables.

Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.

Table of Contents

Frontmatter -- Contents -- Preface -- Chapter 1. Introduction -- Chapter 2. Mathematical Prelude: A Selective Introduction to Logic and Set Theory for Social Scientists -- PART I. Causal Models and Inference -- Chapter 3. Causes-of-Effects versus Effects-of-Causes -- Chapter 4. Causal Models -- Chapter 5. Asymmetry -- Chapter 6. Hume's Two Definitions of Cause -- PART II. Within-Case Analysis -- Chapter 7. Within-Case versus Cross-Case Causal Analysis -- Chapter 8. Causal Mechanisms and Process Tracing -- Chapter 9. Counterfactuals -- PART III. Concepts and Measurement -- Chapter 10. Concepts: Definitions, Indicators, and Error -- Chapter 11. Meaning and Measurement -- Chapter 12. Semantics, Statistics, and Data Transformations -- Chapter 13. Conceptual Opposites and Typologies -- PART IV. Research Design and Generalization -- Chapter 14. Case Selection and Hypothesis Testing -- Chapter 15. Generalizations -- Chapter 16. Scope -- Chapter 17. Conclusion -- Appendix -- Name Index -- Subject Index