Population-based survey experiments

著者

書誌事項

Population-based survey experiments

Diana C. Mutz

Princeton University Press, c2011

  • : hardback
  • : pbk

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注記

Bibliography: p. [161]-172

Includes index

内容説明・目次

巻冊次

: hardback ISBN 9780691144511

内容説明

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.

目次

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
巻冊次

: pbk ISBN 9780691144528

内容説明

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. * Offers the most comprehensive treatment of the subject * Features a wealth of examples and practical advice * Reexamines issues of internal and external validity * Can be used in conjunction with downloadable data from ExperimentCentral.org for design and analysis exercises in the classroom

目次

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

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