Author(s): Lars E. Lyberg (Editor), Paul P. Biemer (Editor), Martin Collins (Editor), Edith D. de Leeuw (Editor), Cathryn Dippo (Editor), Norbert Schwarz (Editor), Dennis Trewin (Editor)
Publisher: Wiley-Interscience
Publication Date: 7 Mar. 1997
Edition: 1st
Language: English
Print length: 808 pages
ISBN-10: 047116559X
ISBN-13: 9780471165590
Book Description
An in-depth look at current issues, new research findings, andinterdisciplinary exchange in survey methodology andprocessing
Survey Measurement and Process Quality extends the marriage oftraditional survey issues and continuous quality improvementfurther than any other contemporary volume. It documents thecurrent state of the field, reports new research findings, andpromotes interdisciplinary exchange in questionnaire design, datacollection, data processing, quality assessment, and effects oferrors on estimation and analysis.
The book’s five sections discuss a broad range of issues and topicsin each of five major areas, including * Questionnaire design–conceptualization, design of rating scalesfor effective measurement, self-administered questionnaires, andmore * Data collection–new technology, interviewer effects, interviewmode, children as respondents * Post-survey processing and operations–modeling of classificationoperations, coding based on such systems, editing, integratingprocesses * Quality assessment and control–total quality management,developing current best methods, service quality, quality effortsacross organizations * Effects of misclassification on estimation, analysis, andinterpretation–misclassification and other measurement errors, newvariance estimators that account for measurement error, estimatorsof nonsampling error components in interview surveys
Survey Measurement and Process Quality is an indispensable resourcefor survey practitioners and managers as well as an excellentsupplemental text for undergraduate and graduate courses andspecial seminars.
Editorial Reviews
From the Inside Flap
An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processing
Survey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis.
The book’s five sections discuss a broad range of issues and topics in each of five major areas, including
Questionnaire design—conceptualization, design of rating scales for effective measurement, self-administered questionnaires, and more
Data collection—new technology, interviewer effects, interview mode, children as respondents
Post-survey processing and operations—modeling of classification operations, coding based on such systems, editing, integrating processes
Quality assessment and control—total quality management, developing current best methods, service quality, quality efforts across organizations
Effects of misclassification on estimation, analysis, and interpretation—misclassification and other measurement errors, new variance estimators that account for measurement error, estimators of nonsampling error components in interview surveys
Survey Measurement and Process Quality is an indispensable resource for survey practitioners and managers as well as an excellent supplemental text for undergraduate and graduate courses and special seminars.
From the Back Cover
An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processing
Survey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis.
The book’s five sections discuss a broad range of issues and topics in each of five major areas, including
Questionnaire design―conceptualization, design of rating scales for effective measurement, self-administered questionnaires, and more
Data collection―new technology, interviewer effects, interview mode, children as respondents
Post-survey processing and operations―modeling of classification operations, coding based on such systems, editing, integrating processes
Quality assessment and control―total quality management, developing current best methods, service quality, quality efforts across organizations
Effects of misclassification on estimation, analysis, and interpretation―misclassification and other measurement errors, new variance estimators that account for measurement error, estimators of nonsampling error components in interview surveys
Survey Measurement and Process Quality is an indispensable resource for survey practitioners and managers as well as an excellent supplemental text for undergraduate and graduate courses and special seminars.
About the Author
Lars E. Lyberg, PhD, is Chief Scientist at Statistics Sweden. They both have co-edited, with others, Measurement Errors in Surveys, Survey Measurement and Process Quality, and Telephone Survey Methodology – all published by Wiley.
Paul P. Biemer is a distinguished Fellow at RTI International, and Assistant Director for Survey Research at the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.
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