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Social Science Methodology A Unified Framework

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ISBN-10: 0521132770

ISBN-13: 9780521132770

Edition: 2nd 2011 (Revised)

Authors: John Gerring

List price: $58.95
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Description:

John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the vast and diverse field of methodology in a way that is clear, concise and…    
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Book details

List price: $58.95
Edition: 2nd
Copyright year: 2011
Publisher: Cambridge University Press
Publication date: 12/15/2011
Binding: Paperback
Pages: 518
Size: 6.93" wide x 9.76" long x 0.94" tall
Weight: 2.442
Language: English

John Gerring is Professor of Political Science at Boston University, where he teaches courses on methodology and comparative politics. He has published several books including Social Science Methodology: A Criterial Framework (Cambridge University Press, 2001), Case Study Research: Principles and Practices (Cambridge University Press, 2007) and A Centripetal Theory of Democratic Governance (Cambridge University Press, 2008). He served as a fellow of the School of Social Science at the Institute for Advanced Study (Princeton, New Jersey), as a member of The National Academy of Sciences' Committee on the Evaluation of USAID Programs to Support the Development of Democracy, as President of the…    

Preface
A unified framework
General:
Beginnings
Arguments
Analyses
Description:
Concepts
Descriptive arguments
Measurements
Causation:
Causal arguments
Causal analyses
Causal strategies: X and Y
Causal strategies: beyond X and Y
Varying approaches to causal inference
Conclusions:
Unity and plurality
Setting standards
Postscript: justifications
Appendix: a few words on style