LEADER 05523nam 2200697Ia 450 001 9910830817303321 005 20230207214447.0 010 $a1-283-59278-9 010 $a9786613905239 010 $a1-118-49001-0 010 $a1-118-49002-9 035 $a(CKB)2670000000236996 035 $a(EBL)1011367 035 $a(SSID)ssj0000706070 035 $a(PQKBManifestationID)11940636 035 $a(PQKBTitleCode)TC0000706070 035 $a(PQKBWorkID)10626840 035 $a(PQKB)11479648 035 $a(MiAaPQ)EBC1011367 035 $a(OCoLC)809043258 035 $a(EXLCZ)992670000000236996 100 $a19960917d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSurvey measurement and process quality$b[electronic resource] /$fedited by Lars Lyberg ... [et al.] 210 $aNew York $cWiley$dc1997 215 $a1 online resource (807 p.) 225 1 $aWiley Series in Probability and Statistics 225 0$aWiley series in probability and statistics.$pApplied probability and statistics 300 $a"A Wiley-Interscience publication." 311 $a0-471-16559-X 320 $aIncludes bibliographical references and index. 327 $aSurvey Measurement and Process Quality; Contents; Contributors; Preface; INTRODUCTION; Measurement Error in Surveys: A Historical Perspective; SECTION A. QUESTIONNAIRE DESIGN; 1. Questionnaire Design: The Rocky Road from Concepts to Answers; 2. From Theoretical Concept to Survey Question; 3. Why Are There so Few Formal Measuring Instruments in Social and Political Research?; 4. Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations; 5. Reducing Question Order Effects: The Operation of Buffer Items 327 $a6. Designing Rating Scales for Effective Measurement in Surveys7. Towards a Theory of Self-Administered Questionnaire Design; SECTION B. DATA COLLECTION; 8. Data Collection Methods and Survey Quality: An Overview; 9. The Effect of New Data Collection Technologies on Survey Data Quality; 10. Developing a Speech Recognition Application for Survey Research; 11. Evalauting Interviewer Use of CAPI Technology; 12. The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study 327 $a13. Effects of Interview Mode on Sensitive Questions in a Fertility Survey14. Children as Respondents: Methods for Improving Data Quality; SECTION C. POST SURVEY PROCESSING AND OPERATIONS; 15. Some Aspects of Post-Survey Processing; 16. Integrated Control Systems for Survey Processing; 17. Using Expert Systems to Model and Improve Survey Classification Processes; 18. Editing of Survey Data: How Much Is Enough?; 19. The Quality of Occupational Coding in the United Kingdom; SECTION D. QUALITY ASSESSMENT AND CONTROL; 20. Survey Measurement and Process Improvement: Concepts and Integration 327 $a21. Continuous Quality Improvement in Statistical Agencies22. Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies; 23. Improving the Comparability of Estimates Across Business Surveys; 24. Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment; 25. CATI Site Management in a Survey of Service Quality; 26. Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data; SECTION E. ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION 327 $a27. A Review of Measurement Error Effects on the Analysis of Survey Data28. Categorical Data Analysis and Misclassification; 29. Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data; 30. Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data; 31. Identifying and Adjusting for Recall Error with Application to Fertility Surveys; 32. Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments 327 $a33. Variance Estimation Under Stratified Two-Phase Sampling with Applications to Measurement Bias 330 $aAn in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processingSurvey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis.The book's five sections discuss a broad range 410 0$aWiley Series in Probability and Statistics 606 $aSocial sciences$xStatistical methods 606 $aSurveys$xMethodology 606 $aSocial sciences$xResearch$xEvaluation 606 $aSurveys$xEvaluation 615 0$aSocial sciences$xStatistical methods. 615 0$aSurveys$xMethodology. 615 0$aSocial sciences$xResearch$xEvaluation. 615 0$aSurveys$xEvaluation. 676 $a300.723 676 $a300/.723 701 $aLyberg$b Lars$0117253 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830817303321 996 $aSurvey measurement and process quality$93940485 997 $aUNINA