Field Experiments
Design, Analysis, and Interpretation
Published on 29. May 2012
Book
Paperback/Softback
512 pages
978-0-393-97995-4 (ISBN)
Description
Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 241 mm
Width: 159 mm
Thickness: 25 mm
Weight
724 gr
ISBN-13
978-0-393-97995-4 (9780393979954)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Alan S. Gerber is Professor of Political Science and Director of the Center for the Study of American Politics at Yale University where he teaches courses on experimental methods, statistics, and American politics. His experimental research has appeared in numerous academic journals including the leading journals in political science. Donald P. Green is Professor of Political Science at Columbia University, and the former director of Yale University's Institution for Social and Policy Research. He is the author of numerous articles and several scholarly books on voter turnout, party identification, and experimental methods, including Get Out the Vote: How to Increase Voter Turnout (with Alan S. Gerber).
Content
Preface Chapter 1: Introduction
Chapter 2: Causal Inference and Experimentation
Chapter 3: Sampling Distributions, Statistical Inference, and Hypothesis Testing
Chapter 4: Using Covariates in Experimental Design and Analysis
Chapter 5: One-Sided Noncompliance
Chapter 6: Two-Sided Noncompliance
Chapter 7: Attrition
Chapter 8: Interference between Experimental Units
Chapter 9: Heterogeneous Treatment Effects
Chapter 10: Mediation
Chapter 11: Integration of Research Findings
Chapter 12: Instructive Examples of Experimental Design
Chapter 13: Writing an Experimental Proposal, Research Report, and Journal Article
Appendix A: Protection of Human Subjects
Appendix B: Suggested Field Experiments for Class Projects
Chapter 2: Causal Inference and Experimentation
Chapter 3: Sampling Distributions, Statistical Inference, and Hypothesis Testing
Chapter 4: Using Covariates in Experimental Design and Analysis
Chapter 5: One-Sided Noncompliance
Chapter 6: Two-Sided Noncompliance
Chapter 7: Attrition
Chapter 8: Interference between Experimental Units
Chapter 9: Heterogeneous Treatment Effects
Chapter 10: Mediation
Chapter 11: Integration of Research Findings
Chapter 12: Instructive Examples of Experimental Design
Chapter 13: Writing an Experimental Proposal, Research Report, and Journal Article
Appendix A: Protection of Human Subjects
Appendix B: Suggested Field Experiments for Class Projects