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A Tale of Two Cultures
Qualitative and Quantitative Research in the Social Sciences
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Gary Goertz
Language:
English
Published/Copyright:
2012
About this book
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.
Author / Editor information
Gary Goertz is professor of political science at the University of Notre Dame. His books include Social Science Concepts: A User's Guide (Princeton). James Mahoney is the Fitzgerald Professor of Economic History and professor of political science and sociology at Northwestern University. His books include Colonialism and Postcolonial Development: Spanish America in Comparative Perspective.
Reviews
"All in all the authors should be thanked for writing a very interesting and well-written book which will set the stage for a methodological debate that will enlighten us all."---Robert Klemmensen, Political Studies Review
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"A Tale of Two Cultures is an informative read for social scientists, especially those who find themselves specialized in one culture of research instead of the other (which of course) is most of us. If one is absent a background in either culture, Goertz and Mahoney provide clear examples to illustrate their arguments. Thus, those instructing research methods will find the book a particularly helpful teaching tool, even if some may take issue with the 'two culture' approach. After all, promoting appreciation and exchange of research methods through better understanding is indeed a worthy goal."---Maria Kuecken, LSE Review of Books
Topics
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Frontmatter
i -
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Contents
v -
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Preface
vii -
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Chapter 1. Introduction
1 -
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Chapter 2. Mathematical Prelude: A Selective Introduction to Logic and Set Theory for Social Scientists
16 - PART I. Causal Models and Inference
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Chapter 3. Causes-of-Effects versus Effects-of-Causes
41 -
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Chapter 4. Causal Models
51 -
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Chapter 5. Asymmetry
64 -
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Chapter 6. Hume’s Two Definitions of Cause
75 - PART II. Within-Case Analysis
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Chapter 7. Within-Case versus Cross-Case Causal Analysis
87 -
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Chapter 8. Causal Mechanisms and Process Tracing
100 -
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Chapter 9. Counterfactuals
115 - PART III. Concepts and Measurement
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Chapter 10. Concepts: Definitions, Indicators, and Error
127 -
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Chapter 11. Meaning and Measurement
139 -
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Chapter 12. Semantics, Statistics, and Data Transformations
150 -
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Chapter 13. Conceptual Opposites and Typologies
161 - PART IV. Research Design and Generalization
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Chapter 14. Case Selection and Hypothesis Testing
177 -
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Chapter 15. Generalizations
192 -
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Chapter 16. Scope
205 -
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Chapter 17. Conclusion
220 -
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Appendix
227 -
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Name Index
231 -
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Subject Index
235
Publishing information
Pages and Images/Illustrations in book
eBook published on:
June 16, 2015
eBook ISBN:
9781400845446
Edition:
Core Textbook
Pages and Images/Illustrations in book
eBook ISBN:
9781400845446
Keywords for this book
Qualitative research; Causality; Causal model; Causal inference; Social science; Variable (mathematics); Statistics; Inference; Hypothesis; Case study; Explanation; Measurement; Theory; Process tracing; Methodology; Statistical hypothesis testing; Statistic; Control variable; The Two Cultures; Authoritarianism; Logic; Economic development; Fuzzy logic; Result; Estimation; Regression analysis; Qualitative comparative analysis; Set theory; Political science; Semantics; Correlation and dependence; Latent variable; Asymmetry; Probability; Addition; Subset; Observational study; Probit; Equifinality; Philosopher; Constant conjunction; Standard deviation; Fuzzy set; Statistical population; Skewness; Princeton University Press; Hooke's law; Analogy; Prediction; Raw data; Illustration; Logit; Sociology; Philosophy; Bayesian; Skepticism; Statistical model; Reason; Quantity; Special case; Concept learning; Literature; Quantitative analyst; Average treatment effect; Suggestion; Level of measurement; Linear regression; Ideal type; Consideration; Observational error
Audience(s) for this book
For an expert adult audience, including professional development and academic research
