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Measurement Errors in Surveys by Paul P. Biemer


Measurement Errors in Surveys by Paul P. Biemer

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. This book will be an aid to survey statisticians and to research workers who must work with survey data. Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis.

About the Author

PAUL P. BIEMER, PhD, is Chief Scientist at the Research Triangle Institute in North Carolina. ROBERT M. GROVES, PhD, is Program Director (Senior Research Scientist) in the Survey Research Center of the University of Michigan, where he also serves as Director in the Institute for Social Research and Professor of Sociology. LARS E. LYBERG, PhD, is Chief Scientist at Statistics Sweden in Stockholm. NANCY A. MATHIOWETZ, PhD, is Special Assistant Director for Statistical Design, Methodology, and Standards at the U.S. Bureau of the Census. SEYMOUR SUDMAN, PhD, is the Walter A. Stellner Professor of Marketing and Deputy Director of the Survey Research Laboratory at the University of Illinois, Urbana-Champaign.

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Book Info

Publication date

3rd September 2004


Paul P. Biemer

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John Wiley & Sons Inc an imprint of John Wiley and Sons Ltd


760 pages


Probability & statistics



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