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Book
xvii, 492 pages : illustrations ; 24 cm
  • Introduction
  • Causal inference and experimentation
  • Sampling distributions, statistical inference, and hypothesis testing
  • Using covariates in experimental design and analysis
  • One-sided noncompliance
  • Two-sided noncompliance
  • Attrition
  • Interference between experimental units
  • Mediation
  • Integration of research findings
  • Writing an experimental prospectus, research report, and journal article
  • Experimental challenges and opportunities.
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.
(source: Nielsen Book Data)9780393979954 20170424
Green Library
SOC-304-01
Book
xiii, 177 p. ; 24 cm.
  • List of Tables ix Preface xi Chapter One: Population-Based Survey Experiments A Hybrid Methodology for the Social Sciences 1 PART I: TREATMENTS FOR POPULATION-BASED EXPERIMENTAL DESIGNS 23 Chapter Two: Treatments to Improve Measurement 25 Chapter Three: Direct and Indirect Treatments 37 Chapter Four: Vignette Treatments 54 Chapter Five: Treatments in the Context of Games 68 PART II: EXECUTION AND ANALYSIS 81 Chapter Six: Execution of Population-Based Survey Experiments 83 Chapter Seven: Analysis of Population-Based Survey Experiments 108 PART III: SITUATING POPULATION-BASED SURVEY EXPERIMENTS 129 Chapter Eight: External Validity Reconsidered 131 Chapter Nine: More Than Just Another Method 155 Bibliography 161 Index 173.
  • (source: Nielsen Book Data)9780691144528 20160605
Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about causality. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies. Yet until now, there was no self-contained resource for social scientists seeking a concise and accessible overview of this methodology, its strengths and weaknesses, and the unique challenges it poses for implementation and analysis. Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples. Designed for social scientists across the disciplines, "Population-Based Survey Experiments" provides the first complete introduction to this methodology. It offers the most comprehensive treatment of the subject. It features a wealth of examples and practical advice. It reexamines issues of internal and external validity. It can be used in conjunction with downloadable data from online for design and analysis exercises in the classroom.
(source: Nielsen Book Data)9780691144528 20160605
Green Library
SOC-304-01