Survey Measurement and Process Quality
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Survey Measurement and Process Quality

 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781118490020
Veröffentl:
2012
Einband:
E-Book
Seiten:
808
Autor:
Lars E. Lyberg
Serie:
Wiley Series in Probability and Statistics
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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.
An in-depth look at current issues, new research findings, andinterdisciplinary exchange in survey methodology andprocessingSurvey 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 surveysSurvey 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.
Partial table of contents:QUESTIONNAIRE DESIGN.From Theoretical Concept to Survey Question (J. Hox).Designing Rating Scales for Effective Measurement in Surveys (J.Krosnick & L. Fabrigar).DATA COLLECTION.Developing a Speech Recognition Application for Survey Research (B.Blyth).Children as Respondents: Methods for Improving Data Quality (J.Scott).POST SURVEY PROCESSING AND OPERATIONS.Integrated Control Systems for Survey Processing (J.Bethlehem).QUALITY ASSESSMENT AND CONTROL.Continuous Quality Improvement in Statistical Agencies (D.Morganstein & D. Marker).ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION.Categorical Data Analysis and Misclassification (J. Kuha & C.Skinner).Index.

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