This is a really nice, accessible treatment of the Rubin causal model with specific applications to Political Science and Development. Students learn how to design randomized experiments, analyze the data, and interpret the findings. The book has a very good survey of randomized inference but where the book really excels is intent to treat and compliance. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. 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). Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Only a small fraction of the myriad statistical analytic methods are covered in this book, but my rough guess is that these methods cover 60%-80% of what you will read in the literature and what is needed for analysis of your own experiments. A brief, authoritative introduction to field experimentation in the social sciences. 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. This is a dummy description. Reviewed in the United States on September 30, 2015. Donald P. Green, ISBN: 978-0-393-97995-4 His experimental research has appeared in numerous academic journals including the leading journals in political science. Please try again. Your recently viewed items and featured recommendations, Select the department you want to search in, Field Experiments: Design, Analysis, and Interpretation. econometric and regression concepts) clearly. I highly recommend it, even if you are not learning about or planning to conduct field experiments. Econometric Analysis of Cross Section and Panel Data (The MIT Press), Data Analysis Using Regression and Multilevel/Hierarchical Models, Causality: Models, Reasoning and Inference. May 2012 Copyright © 2000-document.write(new Date().getFullYear()) by John Wiley & Sons, Inc., or related companies. A brief, authoritative introduction to field experimentation in the social sciences. The 13-digit and 10-digit formats both work. Something we hope you'll especially enjoy: FBA items qualify for FREE Shipping and . Fulfillment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfillment centers, and we directly pack, ship, and provide customer service for these products. Download Product Flyer is to download PDF in new tab. This is the most clearly written statistics book I have ever read. Access codes and supplements are not guaranteed with rentals. Alan S. Gerber, A brief, authoritative introduction to field experimentation in the social sciences. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. There's a problem loading this menu right now. Experimental Design and Statistical Analysis go hand in hand, and neither can be understood without the other. The mathematics is deep but explained very well. It also fills an important void in being really the only text on the design and analysis of experiments written for social scientists. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. THE book now on experimental design for the social sciences, Reviewed in the United States on March 16, 2017. Well written and accessible, Reviewed in the United States on June 16, 2014. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. There was an error retrieving your Wish Lists. Please choose a different delivery location. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Unable to add item to List. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. COVID-19 Discipline-Specific Online Teaching Resources, Peer Review & Editorial Office Management, The Editor's Role: Development & Innovation, People In Research: Interviews & Inspiration. Please try again. You are currently offline. Would you like to change to the Australia site? Download Product Flyer is to download PDF in new tab. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. This item cannot be shipped to your selected delivery location. Download Product Flyer is to download PDF in new tab. *Norton agency titles Find all the books, read about the author, and more. To get the free app, enter your mobile phone number. One of these items ships sooner than the other. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Reviewed in the United States on July 23, 2018. If you are interested in running social experiments this is the book to have! It's well written, concise and offers a rigorous first course in experimental methods that is essentially free from disciplinary jargon. W. W. Norton & Company; Illustrated Edition (May 29, 2012), Authoritative text on experimental methods for the social sciences. If you're a seller, Fulfillment by Amazon can help you grow your business. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Excellent. 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. A brief, authoritative introduction to field experimentation in the social sciences., Field Experiments, Design, Analysis, and Interpretation, Alan S Gerber, Donald P Green, 9780393979954 A brief, authoritative introduction to field experimentation in the social sciences. After viewing product detail pages, look here to find an easy way to navigate back to pages you are interested in. Mastering 'Metrics: The Path from Cause to Effect, Running Randomized Evaluations: A Practical Guide, More Than Good Intentions: Improving the Ways the World's Poor Borrow, Save, Farm, Learn, and Stay Healthy, Counterfactuals and Causal Inference: Methods And Principles For Social Research (Analytical Methods for Social Research), Natural Experiments in the Social Sciences: A Design-Based Approach (Strategies for Social Inquiry), Causal Inference in Statistics - A Primer. Some features of the site may not work correctly. This is a dummy description. Reviewed in the United States on August 30, 2019, Great book, selected as the textbook for one of my classes. On clicking this link, a new layer will be open. In a world where compliance is an real issue, this book provides very practical solutions. Experimental challenges and opportunities.