Sources Of Measurement Error In Surveys
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Measurement Errors in Surveys
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.
A Study of Selected Nonsampling Errors in the 1991 Survey of Recent College Graduates
Author: John Michael Brick
language: en
Publisher: U.S. Government Printing Office
Release Date: 1994
The 1991 Survey of Recent College Graduates (RCG:91) is the sixth study in a series begun in 1976. The series provides data on the occupational and educational outcomes of recent bachelor's and master's graduates one year after graduation. The survey was conducted by Westat, Inc. in a two-stage sample involving 400 institutions of higher education and 18,000 graduates contacted by telephone. Along with estimates, reports on the RCG typically include standard errors of the estimates, indicating the nature and size of sampling error. Errors due to nonsampling error are often not included in estimated standard errors, but this report examines nonsampling errors and their impact on the estimates from the RCG:91. The major sources of nonsampling errors are nonresponse, random measurement errors, and systematic errors due to interviewers. Each source is discussed, and ways to estimate the potential consequences of nonsampling errors are explored. Nine figures, 19 tables, and 3 exhibits present statistical information. Eight appendixes contain supplemental and detailed information about the conduct of the survey. (SLD)
Nonsampling Error in Social Surveys
A welcome and much-needed addition to the literature on survey data quality in social research, McNabb’s book examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse error, and interviewer error. Offering the only comprehensive and non-technical treatment available, the book’s focus on controlling error shows readers how to eliminate the opportunity for error to occur, and features revealing examples of past and current efforts to control the incidence and effects of nonsampling error. Most importantly, it gives readers the tools they need to understand, identify, address, and prevent the most prevalent and difficult-to-control types of survey errors.