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Edith de Leeuw, Edith D. de Leeuw, Allyson L. Holbrook, Cour Kennedy, Courtney Kennedy, Paul Lavrakas...
Experimental Methods in Survey Research - Techniques That Combine Random Sampling With Random Assignment
English · Hardback
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Description
A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing
This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.
Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:
* Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity
* Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications
* Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation --featuring contributions from across a variety of disciplines in the social and behavioral sciences
* Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study
* Includes more than 20 types of original experiments carried out within probability sample surveys
* Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.
List of contents
List of Contributors xix
Preface by Dr. Judith Tanur xxv
About the Companion Website xxix
1 Probability Survey-Based Experimentation and the Balancing of Internal and External Validity Concerns 1
Paul J. Lavrakas, Courtney Kennedy, Edith D. de Leeuw, Brady T. West, Allyson L. Holbrook, and Michael W. Traugott
1.1 Validity Concerns in Survey Research 3
1.2 Survey Validity and Survey Error 5
1.3 Internal Validity 6
1.4 Threats to Internal Validity 8
1.5 External Validity 11
1.6 Pairing Experimental Designs with Probability Sampling 12
1.7 Some Thoughts on Conducting Experiments with Online Convenience Samples 12
1.8 The Contents of this Book 15
References 15
Part I Introduction to Section on Within-Unit Coverage 19
Paul J. Lavrakas and Edith D. de Leeuw
2 Within-Household Selection Methods: A Critical Review and Experimental Examination 23
Jolene D. Smyth, Kristen Olson, and Mathew Stange
2.1 Introduction 23
2.2 Within-Household Selection and Total Survey Error 24
2.3 Types of within-Household Selection Techniques 24
2.4 Within-Household Selection in Telephone Surveys 25
2.5 Within-Household Selection in Self-Administered Surveys 26
2.6 Methodological Requirements of Experimentally Studying Within-Household Selection Methods 27
2.7 Empirical Example 30
2.8 Data and Methods 31
2.9 Analysis Plan 34
2.10 Results 35
2.11 Discussion and Conclusions 40
References 42
3 Measuring within-Household Contamination: The Challenge of Interviewing More Than One Member of a Household 47
Colm O'Muircheartaigh, Stephen Smith, and Jaclyn S.Wong
3.1 Literature Review 47
3.2 Data and Methods 50
Investigators 53
Field/Project Directors 53
3.3 The Sequence of Analyses 55
3.4 Results 55
3.5 Effect on Standard Errors of the Estimates 57
3.6 Effect on Response Rates 58
3.7 Effect on Responses 61
3.8 Substantive Results 64
References 64
Part II Survey Experiments with Techniques to Reduce Nonresponse 67
Edith D. de Leeuw and Paul J. Lavrakas
4 Survey Experiments on Interactions and Nonresponse: A Case Study of Incentives and Modes 69
A. Bianchi and S. Biffignandi
4.1 Introduction 69
4.2 Literature Overview 70
4.3 Case Study: Examining the Interaction between Incentives and Mode 73
4.4 Concluding Remarks 83
Acknowledgments 85
References 86
5 Experiments on the Effects of Advance Letters in Surveys 89
Susanne Vogl, Jennifer A. Parsons, Linda K. Owens, and Paul J. Lavrakas
5.1 Introduction 89
5.2 State of the Art on Experimentation on the Effect of Advance Letters 93
5.3 Case Studies: Experimental Research on the Effect of Advance Letters 95
5.4 Case Study I: Violence against Men in Intimate Relationships 96
5.5 Case Study II: The Neighborhood Crime and Justice Study 100
5.6 Discussion 106
5.7 Research Agenda for the Future 107
References 108
Part III Overview of the Section on the Questionnaire 111
Allyson Holbrook and Michael W. Traugott
6 Experiments on the Design and Evaluation of Complex Survey Questions 113
Paul Beatty, Carol Cosenza, and Floyd J. Fowler Jr.
6.1 Question Construction: Dangling Qualifiers 115
6.2 Overall Meanings of Question Can Be Obscured by Detailed Words 117
6.3 Are Two Questions Better than One? 119
6.4 The Use of Multiple Ques
About the author
Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of Illinois-Chicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University. Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan. Courtney Kennedy, PhD, is Director of Survey Research at Pew Research Center in Washington, DC. Allyson L. Holbrook, PhD, is Professor of Public Administration and Psychology at the University of Illinois-Chicago. Edith D. de Leeuw, PhD, is Professor of Survey Methodology in the Department of Methodology and Statistics at Utrecht University. Brady T. West, PhD, is Research Associate Professor in the Survey Research Center at the University of Michigan-Ann Arbor.
Summary
A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing
This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.
Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:
* Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity
* Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications
* Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation --featuring contributions from across a variety of disciplines in the social and behavioral sciences
* Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study
* Includes more than 20 types of original experiments carried out within probability sample surveys
* Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.
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