Survey Nonresponse
1st Edition
Published on 31. October 2001
Book
Hardback
520 pages
978-0-471-39627-7 (ISBN)
Description
A compendium of up-to-date research in survey nonresponse Survey Nonresponse compiles theoretical and empirical research by noted experts to provide a current review of the field. It covers the behavioral underpinnings of non-response, its impact on the error structure of survey estimates, and current methods of adjusting the estimation process to account for nonresponse.
The volume combines literatures from social science and statistics to present a complete picture of modern methods of design and estimation in the face of missing survey data. The book is divided into four sections that discuss these fundamental issues:
Alternative perspectives on causes and consequences of nonresponse
Current theory and practice in survey protocols to reduce nonresponse rates
How nonresponse varies systematically by various design features
Statistical inference accounting for nonresponse
Survey Nonresponse can be used as a supplementary text for graduate students in survey methodology courses, or as a reference for researchers and professionals. It offers a balanced approach, up-to-date research, and thoroughly modern thinking on this vital subject.
This title has been named the 2011 American Association for Public Opinion Research Award winner. It is the Association's lifetime achievement award.
The volume combines literatures from social science and statistics to present a complete picture of modern methods of design and estimation in the face of missing survey data. The book is divided into four sections that discuss these fundamental issues:
Alternative perspectives on causes and consequences of nonresponse
Current theory and practice in survey protocols to reduce nonresponse rates
How nonresponse varies systematically by various design features
Statistical inference accounting for nonresponse
Survey Nonresponse can be used as a supplementary text for graduate students in survey methodology courses, or as a reference for researchers and professionals. It offers a balanced approach, up-to-date research, and thoroughly modern thinking on this vital subject.
This title has been named the 2011 American Association for Public Opinion Research Award winner. It is the Association's lifetime achievement award.
Reviews / Votes
"This volume provides current nonresponse literature to survey practitioners, and could prove to be a good reference book for graduate students in survey research and methodology." (Journal of the American Statistical Association, June 2004) "Suitable as a supplementary text for graduate students in survey methodology courses, and as a reference for researchers and professionals." (Reference & Research Book News, February 2002)"...another product of the Survey Research Methodology Section of the American Statistical Association...This book is an outgrowth of the International Conference on Survey Nonresponse..."Technometrics, Vol. 44, No. 3, August 2002)
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
Charts: 9 B&W, 0 Color; Photos: 3 B&W, 0 Color; Tables: 65 B&W, 0 Color; Graphs: 10 B&W, 0 Color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 32 mm
Weight
938 gr
ISBN-13
978-0-471-39627-7 (9780471396277)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
ROBERT M. GROVES, PhD, is a professor and a senior research scientist at the University of Michigan. He is also Director of the Joint Program in Survey Methodology, a consortium of the University of Maryland, University of Michigan, and Westat.
DON A. DILLMAN, PhD, is Professor of Sociology and Rural Sociology at Washington State University, a senior scientist for the Gallup Organization, and previously a senior survey methodologist at the U. S. Census Bureau.
JOHN L. ELTINGE, PhD, is a senior mathematical statistician at the U. S. Bureau of Labor Statistics and an associate professor in the Department of Statistics at Texas A&M University.
RODERICK J. A. LITTLE, PhD, is Professor and Chair of Biostatistics in the School of Public Health at the University of Michigan and a senior research scientist at its Institute for Social Research.
DON A. DILLMAN, PhD, is Professor of Sociology and Rural Sociology at Washington State University, a senior scientist for the Gallup Organization, and previously a senior survey methodologist at the U. S. Census Bureau.
JOHN L. ELTINGE, PhD, is a senior mathematical statistician at the U. S. Bureau of Labor Statistics and an associate professor in the Department of Statistics at Texas A&M University.
RODERICK J. A. LITTLE, PhD, is Professor and Chair of Biostatistics in the School of Public Health at the University of Michigan and a senior research scientist at its Institute for Social Research.
Content
Contributors.
Preface.
PART I. PERSPECTIVES ON NONRESPONSE.
Survey Nonresponse in Design, Data Collection, and Analysis (D. Dillman, et al.).
Developing Nonresponse Standards (T. Smith).
Trends in Household Survey Nonresponse: A Longitudinal and International Comparison (E. de Leeuw and W. de Heer).
Culture and Survey Nonresponse (T. Johnson, et al.).
To Answer or Not to Answer: Decision Processes Related to Survey Item Nonresponse (P. Beatty and D. Herrmann).
The Causes of No-Opinion Response to Attitude Measures in Surveys: They Are Rarely What They Appear to Be (J. Krosnick).
PART II: IMPACTS OF SURVEY DESIGN ON NONRESPONSE.
The Influence of Interviewers' Attitude and Behavior on Household Survey Nonresponse: An International Comparison (J. Hox and E. de Leeuw).
Persuading Reluctant Recipients in Telephone Surveys (W. Dijkstra and J. Smit).
The Effects of Extended Interviewer Efforts on Nonresponse Bias (P. Lynn, et al.).
Effect of Item Nonresponse on Nonresponse Error and Inference (R. Mason, et al.).
The Use of Incentives to Reduce Nonresponse in Household Surveys (E. Singer).
The Influence of Alternative Visual Designs on Respondents' Performance with Branching Instructions in Self-Administered Questionnaires (C. Redline and D. Dillman).
PART III: NONRESPONSE IN DIVERSE TYPES OF SURVEYS.
Evaluating Nonresponse Error in Mail Surveys (D. Moore and J. Tarnai).
Understanding Unit and Item Nonresponse in Business Surveys (D. Willimack, et al.).
Nonresponse in Web Surveys (V. Vehovar, et al.).
Nonresponse in Exit Polls: A Conprehensive Analysis (D. Merkle and M. Edelman).
Nonresponse in the Second Wave of Longitudinal Household Surveys (J. Lepkowski and M. Couper).
PART IV: STATISTICAL INFERENCE ACCOUNTING FOR NONRESPONSE.
Weighting Nonresponse Adjustments Based on Auxiliary Information (J. Bethlehem).
Poststratification and Weighting Adjustments (A. Gelman and J. Carlin).
Replication Methods for Variance Estimation in Complex Surveys with Imputed Data (J. Shao).
Variance Estimation from Survey Data under Single Imputation (H. Lee, et al.).
Large-Scale Imputation for Complex Surveys (D. Marker, et al.).
A Congenial Overview and Investigation of Multiple Imputation Inferences under Uncongeniality (X. Meng).
Multivariate Imputation of Coarsened Survey Data on Household Wealth (S. Heeringa, et al.).
Modeling Nonignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling (D. Brownstone, et al.).
Using Matched Substitutes to Adjust for Nonignorable Nonresponse through Multiple Imputations (D. Rubin and E. Zanutto).
Using Administrative Records to Impute for Nonresponse (E. Zanutto and A. Zaslavsky).
Imputation for Wave Nonresponse: Existing Methods and a Time Series Approach (D. Pfeffermann and G. Nathan).
Diagnostics for the Practical Effects of Nonresponse Adjustment Methods (J. Eltinge).
References.
Index.
Preface.
PART I. PERSPECTIVES ON NONRESPONSE.
Survey Nonresponse in Design, Data Collection, and Analysis (D. Dillman, et al.).
Developing Nonresponse Standards (T. Smith).
Trends in Household Survey Nonresponse: A Longitudinal and International Comparison (E. de Leeuw and W. de Heer).
Culture and Survey Nonresponse (T. Johnson, et al.).
To Answer or Not to Answer: Decision Processes Related to Survey Item Nonresponse (P. Beatty and D. Herrmann).
The Causes of No-Opinion Response to Attitude Measures in Surveys: They Are Rarely What They Appear to Be (J. Krosnick).
PART II: IMPACTS OF SURVEY DESIGN ON NONRESPONSE.
The Influence of Interviewers' Attitude and Behavior on Household Survey Nonresponse: An International Comparison (J. Hox and E. de Leeuw).
Persuading Reluctant Recipients in Telephone Surveys (W. Dijkstra and J. Smit).
The Effects of Extended Interviewer Efforts on Nonresponse Bias (P. Lynn, et al.).
Effect of Item Nonresponse on Nonresponse Error and Inference (R. Mason, et al.).
The Use of Incentives to Reduce Nonresponse in Household Surveys (E. Singer).
The Influence of Alternative Visual Designs on Respondents' Performance with Branching Instructions in Self-Administered Questionnaires (C. Redline and D. Dillman).
PART III: NONRESPONSE IN DIVERSE TYPES OF SURVEYS.
Evaluating Nonresponse Error in Mail Surveys (D. Moore and J. Tarnai).
Understanding Unit and Item Nonresponse in Business Surveys (D. Willimack, et al.).
Nonresponse in Web Surveys (V. Vehovar, et al.).
Nonresponse in Exit Polls: A Conprehensive Analysis (D. Merkle and M. Edelman).
Nonresponse in the Second Wave of Longitudinal Household Surveys (J. Lepkowski and M. Couper).
PART IV: STATISTICAL INFERENCE ACCOUNTING FOR NONRESPONSE.
Weighting Nonresponse Adjustments Based on Auxiliary Information (J. Bethlehem).
Poststratification and Weighting Adjustments (A. Gelman and J. Carlin).
Replication Methods for Variance Estimation in Complex Surveys with Imputed Data (J. Shao).
Variance Estimation from Survey Data under Single Imputation (H. Lee, et al.).
Large-Scale Imputation for Complex Surveys (D. Marker, et al.).
A Congenial Overview and Investigation of Multiple Imputation Inferences under Uncongeniality (X. Meng).
Multivariate Imputation of Coarsened Survey Data on Household Wealth (S. Heeringa, et al.).
Modeling Nonignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling (D. Brownstone, et al.).
Using Matched Substitutes to Adjust for Nonignorable Nonresponse through Multiple Imputations (D. Rubin and E. Zanutto).
Using Administrative Records to Impute for Nonresponse (E. Zanutto and A. Zaslavsky).
Imputation for Wave Nonresponse: Existing Methods and a Time Series Approach (D. Pfeffermann and G. Nathan).
Diagnostics for the Practical Effects of Nonresponse Adjustment Methods (J. Eltinge).
References.
Index.