Measurement Errors in Surveys (Wiley Series in Probability and Statistics)

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9780471692805: Measurement Errors in Surveys (Wiley Series in Probability and Statistics)
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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.

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Reflects emerging principles and trends. Documents the current state of measurement errors in surveys; reports new research findings; promotes interdisciplinary exchanges in numerous approaches in assessing, modeling and reducing measurement inaccuracies in surveys. Features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, the effects of measurement errors on estimation and data analysis.

From the Inside Flap:

The widespread use of surveys in fields as diverse as sociology, psychology, statistics, communication science, business, and economics makes the potential effects of measurement error as far-reaching as survey results themselves. 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. The book begins with an in-depth look at current issues in questionnaire design. Choice and presentation order of both questions and response alternatives are examined in detail. This section also compares the effects of questionnaire mode on cognitively designed questions. The results of research on the effects of context and question wording are probed as well. Special consideration is given to measurement error in business surveys. In studying respondents and responses, contributors consider recall error; differences in self vs. proxy responses; alternative approaches to obtaining personal history data; and item count techniques as a method of indirect questioning. Another section on interviewers and alternate means of data collection discusses the reduction of interviewer-related error through training; design and analysis of reinterview; and more. A case study examines the review of errors of direct observation in crop yield surveys. Contributors also outline factors affecting respondent-interviewer interaction—such as the role of conversation, interview style, interviewer behavior, and response behavior. The second part of Measurement Errors in Surveys develops a fundamental approach to measurement errors. Both bottom-up and top-down versions of total survey error are presented. Modeling measurement errors and their effects on estimation and data analysis are considered and a mixed model for analyzing measurement errors for dichotomous variables demonstrated. The book ends with several chapters on data analysis. Discussions center on measurement errors in cross-national surveys and regression estimation in the presence of response error. Chi-squared tests for complex survey data are offered. A final study examines the effects of measurement error on event history analysis.

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