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E-grāmata: Science of Web Surveys

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(Vice President, Westat, USA), (Professor, University of Michigan, USA), (Professor, University of Michigan, USA)
  • Formāts: PDF+DRM
  • Izdošanas datums: 29-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • Valoda: eng
  • ISBN-13: 9780199344048
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Science of Web SurveysPalielināt
  • Formāts: PDF+DRM
  • Izdošanas datums: 29-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • Valoda: eng
  • ISBN-13: 9780199344048
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The development and widespread use of Web surveys have resulted in an outpouring of research on their design. In this volume, Tourangeau, Conrad, and Couper provide a comprehensive summary and synthesis of the literature on this increasingly popular method of data collection. The book includes new integration of the authors' work with other important research on Web surveys, including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection. Adopting the total survey error framework, the book examines sampling and coverage issues, nonresponse, measurement, and the issues involved in combining modes. In addition, the concluding chapter provides a model for understanding the errors in estimates that combine data collected in more than one mode.

Web surveys have several important characteristics that affect their ability to collect accurate survey data. Discussing these in detail, the authors address basic design decisions from input widgets to background colors. They additionally focus on the visual character of Web surveys, on their ability to automatically interact with respondents, and on the Web as a method of self-administration. The Science of Web Surveys is relevant for those with the practical goal of improving their own surveys and those with an interest in understanding an increasingly important method of data collection.

Recenzijas

The book is rich with recommendations and tips, scientific evidence and examples of Web surveys, and challenges facing the future of the science ... Those interested in research on Web surverys will find many useful suggesttions for future research in this book ... The greatest strength of The Science of Web Surverys, however, is its plethora and synthesis of current scientific evidence on chapter topics, many times including the authors' own studies. Almost every practical tip, recommendation, and solution to Web surveys in the book is supported by research evidence. * Ajlina Karamehic-Muratovic, PsychCritiques *

Preface vii
1 Introduction
1(10)
1.1 The Total Survey Error Approach
2(3)
1.2 Roadmap of the Book
5(4)
1.3 The Purpose and Scope of the Book
9(2)
2 Sampling and Coverage Issues for Web Surveys
11(25)
2.1 Types of Web Surveys and the Use of Probability Sampling
11(7)
2.2 Coverage Issues for Web Surveys
18(5)
2.3 Statistical Corrections for Coverage and Sampling Bias
23(11)
2.4 Summary
34(2)
3 Nonresponse in Web Surveys
36(21)
3.1 Denning Nonresponse and Nonresponse Error in Web Surveys
37(1)
3.2 Nonresponse Error in Web Surveys
38(2)
3.3 Response and Participation Rates in Web Surveys
40(3)
3.4 Factors Affecting Participation in Web Surveys
43(5)
3.5 Nonresponse in Mixed-Mode Surveys
48(3)
3.6 Factors Affecting Breakoffs in Web Surveys
51(2)
3.7 Item Nonresponse in Web Surveys
53(2)
3.8 Summary
55(2)
4 Introduction to Measurement and Design in Web Surveys
57(20)
4.1 Measurement Error in Web Surveys
58(1)
4.2 Measurement Features of Web Surveys
59(2)
4.3 Choice of Broad Design Approaches
61(1)
4.4 The Look and Feel of the Web Survey
62(6)
4.5 Navigation Conventions
68(1)
4.6 Choice of Response Formats
69(3)
4.7 Grid or Matrix Questions
72(4)
4.8 Summary
76(1)
5 The Web as a Visual Medium
77(22)
5.1 Interpreting Visual Features of Web Questionnaires
77(11)
5.2 The Impact of Images
88(5)
5.3 The Concept of Visibility
93(5)
5.4 Summary
98(1)
6 Interactive Features and Measurement Error
99(30)
6.1 Dimensions of Interactivity
100(1)
6.2 Responsive, Machine-Like Features
101(18)
6.2.1 Progress Indicators
102(8)
6.2.2 Running Tallies
110(1)
6.2.3 Visual Analog Scales
111(2)
6.2.4 Interactive Grids
113(2)
6.2.5 Online Definitions
115(4)
6.3 Human-Like Interactive Features
119(7)
6.4 Summary
126(3)
7 Measurement Error on the Web and in Other Modes of Data Collection
129(22)
7.1 Conceptual Schemes for Understanding Mode Effects
129(3)
7.2 Web Surveys as a Method of Self-Administration
132(14)
7.3 Web Surveys and Cognitive Burden
146(3)
7.4 Summary
149(2)
8 Summary and Conclusions
151(22)
8.1 Non-Observation Errors in Web Surveys
151(7)
8.2 Observation Errors
158(4)
8.3 A Model for Mode Effects
162(6)
8.4 Recommendations for Web Surveys
168(3)
8.5 The Future of Web Surveys
171(2)
References 173(16)
Author Index 189(6)
Subject Index 195
Roger Tourangeau is a Vice President and Associate Director at Westat, one of the largest survey firms in the U.S. Before joining Westat, he was Research Professor at the University of Michigan's Survey Research Center and the Director of the Joint Program in Survey Methodology at the University of Maryland. He has been a survey methodologist for nearly 30 years. He is an author on more than 60 research articles, many of them on the design of web surveys.

Frederick G. Conrad is a Research Professor in the Survey Research Center at the University of Michigan and the Joint Program in Survey Methodology (JPSM) at the University of Maryland. He is the Director of the Michigan Program in Survey Methodology and JPSM. He is co-author or editor of several books and numerous articles on survey methodology. His research focuses on interaction between people and between people and technology in survey data collection.

Mick P. Couper is a Research Professor in the Survey Research Center at the University of Michigan and in the Joint Program in Survey Methodology (JPSM). He has been doing surveys and research on surveys for over 25 years. He is author or co-author of several books and numerous articles on survey methodology. His research focuses on the application of technology to the survey process, survey nonresponse, and alternative modes of survey data collection.
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