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Carles Boix, Susan C. Stokes
£121.00
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The Oxford Handbook of Political Methodology
Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier
898 pages
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246x171mm
978-0-19-928654-6
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Hardback
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21 August 2008
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This item is printed to order and supplied on a firm sale basis. Items which are printed to order are normally despatched and charged within 5-10 days.
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- The Oxford Handbooks of Political Science are the essential guide to the state of political science today
- The only fully comprehensive ten-volume survey of the whole discipline
- Not just a review of the discipline, but a major contribution to it
- Engagingly written by an illustrious team of international contributors
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Political methodology has changed dramatically in the past thirty years. Not only have new methods and techniques been developed, but the Political Methodology Society and the Qualitative Methods Section of the American Political Science Association have engaged in ongoing research and training programs that have advanced both quantitative and qualitative methodology. The Oxford Handbook of Political Methodology is designed to reflect these developments.It provides comprehensive overviews and critiques of all the key specific methodologies.
The volume emphasises three things. Firstly, techniques should be the servants of improved data collection, measurement, conceptualization, and the understanding of meanings and the
identification of causal relationship in social science research. Techniques will be described with the aim of showing how they contribute to these tasks, and the emphasis will be upon developing good research designs-not upon simply using sophisticated techniques.
Second, there are many different ways that these tasks can be undertaken in the social sciences through description and modeling, case-study and large-n designs, and quantitative and qualitative research.
Third, techniques can cut across boundaries and be useful for many different kinds of researchers. The chapter authors ask how their methods can be used by, or at least inform, the work of those outside those areas where they are usually employed. For example, those describing
large-n statistical techniques should ask how their methods might at least inform, if not sometimes be adopted by, those doing case studies or interpretive work, and we want those explaining how to do comparative historical work or process tracing to explain how it could inform those doing time-series studies.Readership: Scholars and students of political science especially those interested in political methodology, comparative politics, political behavior and political economy.
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Edited by Janet M. Box-Steffensmeier, Vernal Riffe Professor of Political Science & Director of the Program in Statistics and Methodology, Ohio State University, Henry E. Brady, Professor of Political Science and Public Policy, University of California, Berkeley, and David Collier, Professor of Political Science, University of California, Berkeley Contributors:
Janet Box-Steffensmeier, Ohio State University
Henry Brady, UC Berkeley
David Collier, UC Berkeley
John Gerring, Boston University
James Johnson, University of Rochestser
Gary Goertz,
University of Arizona
Keith T. Poole, UC San Diego
Simon Jackman, Stanford University
David Freeman, UC Berkeley
Jasjeet Sekhon, UC Berkeley
John E. Jackson, University of Michigan
Andrew D. Martin, Washington University in St Louis
Nathaniel Beck, New York University
Robert Franzese, University of Michigan
Jude Hayes, University of Illinois, Urbana
Bradford Stephen Jones, University of Arizona
Michael Alvarez, California Institute of Technology
Wendy K. Cho, Northwestern University, Urbana
Charles Manski, Northwestern University, Evanston
Richard Johnston, University of British Columbia
Jonathan
Golub, University of Reading
Jon Pevehouse, University of Wisconsin
Bernhard Kittel, University of Amsterdam
Andrew Bennett, Georgetown University
James Mahoney, Brown University
Charles Ragin, University of Arizona
Brian Rathburn, McGill University
Kenneth Bollen, University of North Carolina
Sophia Rabe-Hesketh, UC Berkeley
John Aldrich, Duke University
James E. Alt, Harvard University
Arthur Lupia, University of Michigan
Peter Hedstrom, Nuffield College, University of Oxford
Scott E. Page, University of Michigan
Becky Morton, New York University
Kenneth Williams, Michigan State University
Donald Green, Yale University
Alan Gerber, Yale University
Colin Elman, Arizona State University
Charles Franklin, University of Wisconsin
Michael Lewis-Beck, University of Iowa
David Laitin, Stanford University
Michael Coppedge, University of Notre Dame
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"This Handbook contains an extraordinary collection of magisterial articles by many of the best methodological minds in political science. Prominent statisticians, econometricians, and sociologists who have taken an interest in our inferential problems are also well represented. The range is broad and substantive, with quantitative, qualitative, formal-theoretic, historical, and mixed methods discussed in relation to all the empirical subfields of the discipline. Every sect will find something to its taste, and those who celebrate the methodological diversity of the profession will have a feast. The articles are written to be accessible, and graduate students will find no better place to begin developing their own methodological judgment. This book
is a splendid achievement." - Christopher H. Achen, Roger Williams Straus Professor of Social Sciences, Princeton University
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Part I: Introduction
1: Janet Box-Steffensmeier, Henry Brady, David Collier: Political Science Methodology
2: Russell Hardin: Normative Methodology
Part II: Approaches to Social Science Methodology
3: Mark Bevir: Meta-methodology: Clearing the Underbrush
4: Scott de Marchi and Scott E. Page: Agent-based Modeling
Part III: Concepts and Measurement
5: Gary Goertz: Concepts, Theories, and Numbers: A Checklist for Constructing, Evaluating, and Using Concepts or Quantitative Measures
6: Simon Jackman: Measurement
7: David Collier, Jody LaPorte, and Jason Seawright: Typologies: Forming Concepts and Creating Catagorical Variables
8: Charles C. Ragin: Measurement versus Calibration: A Set-theoretic Approach
9: Keith T. Poole: The Evolving Influence of Psychometrics in Political Science
Part IV: Causality and Explanation in Social Research
10: Henry E. Brady: Causation and Explanation in Social Science
11: Jasjeet S.Sekhon: The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods
12: David A. Freedman: On Types of Scientific Enquiry: The Role of Qualitative Reasoning
13: Peter Hedstrom: Studying Mechanisms to Strengthen Causal Inferences in Quantitative Research
Part V: Experiments, Quasi-experiments and Natural Experiments
14: Rebecca B. Morton and Kenneth C. Williams: Experimentation in Political Science
15: Alan S. Gerber and Donald P. Green: Field Experiments and Natural Experiments
Part VI: Quantitative Tools for Descriptive and Causal Inference: General Methods
16: Richard Johnston: Survey Methodology
17: John E. Jackson: Endogeneity and Structural Equation Estimation in Political Science
18: Kenneth A. Bollen, Sophia Rabe-Hesketh, and Anders Skrondal: Structural Equation Models
19: Jon C. Pevehouse and Jason D. Brozek: Time-series Analysis
20: Nathaniel Beck: Time-series Cross-section Methods
21: Andrew D. Martin: Bayesian Analysis
Part VII: Quantitative Tools for Descriptive and Causal Inference: Special Topics
22: Garrett Glasgow and R. Michael Alvarez: Discrete Choice Methods
23: Jonathan Golub: Survival Analysis
24: Wendy K. Tam Cho and Charles F. Manski: Cross-level/Ecological Inference
25: Robert J. Franzese Jr, and Jude C. Hays: Empirical Models of Spatial Interdependence
26: Bradford S. Jones: Multilevel Models
Part VIII: Qualitative Tools for Descriptive and Causal Inference
27: Jack S. Levy: Counterfactuals and Case Studies
28: John Gerring: Case Selection for Case-study Analysis: Qualitative and Quantitative Techniques
29: Brian C. Rathbun: Interviewing and Qualitative Field Methods: Pragmatism and Practicalities
30: Andrew Bennett: Process Tracing: A Bayesian Perspective
31: Benoit Rihoux: Case-oriented Configurational Research: Qualitative Comparative Analysis (QCA), Fuzzy Sets, and Related Techniques
32: James Mahoney and P. Larkin Terrie: Comparative-historical Analysis in Contemporary Political Science
33: James D. Fearon and David D. Laitin: Integrating Qualitative and Quantitative Methods
Part IX: Organizations, Institutions, and Movements in the Field of Methodology
34: David Collier and Colin Elman: Qualitative and Multimethod Research: Organizations, Publication, and Reflections on Integration
35: Charles H. Franklin: Quantitative Methodology
36: Michael S. Lewis-Beck: Forty Years of Publishing in Quantitative Methodology
37: John H. Aldrich, James E. Alt, and Arthur Lupia: The EITM Approach: Origins and Interpretations
Index
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