LEADER 04525nam 2200673Ia 450 001 9910133222203321 005 20170814181806.0 010 $a1-283-25773-4 010 $a9786613257734 010 $a1-118-03699-9 010 $a1-118-03700-6 010 $a1-118-03698-0 035 $a(CKB)3400000000015953 035 $a(EBL)697942 035 $a(OCoLC)816862066 035 $a(SSID)ssj0000540552 035 $a(PQKBManifestationID)11385834 035 $a(PQKBTitleCode)TC0000540552 035 $a(PQKBWorkID)10585773 035 $a(PQKB)11110059 035 $a(MiAaPQ)EBC697942 035 $a(EXLCZ)993400000000015953 100 $a20101129d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aQuestion evaluation methods$b[electronic resource] $econtributing to the science of data quality /$fedited by Jennifer Madans ... [et al.] 210 $aHoboken, N.J. $cJohn Wiley & Sons$dc2011 215 $a1 online resource (380 p.) 225 1 $aWiley series in survey methodology 300 $aDescription based upon print version of record. 311 $a0-470-76948-3 320 $aIncludes bibliographical references and index. 327 $aQUESTION EVALUATION METHODS: Contributing to the Science of Data Quality; CONTENTS; CONTRIBUTORS; PREFACE; 1: Introduction; PART I: Behavior Coding; 2: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions; 3: Response 1 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions; 4: Response 2 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions; PART II: Cognitive Interviewing; 5: Cognitive Interviewing; 6: Response 1 to Miller's Chapter: Cognitive Interviewing 327 $a7: Response 2 to Miller's Chapter: Cognitive InterviewingPART III: Item Response Theory; 8: Applying Item Response Theory for Questionnaire Evaluation; 9: Response 1 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation; 10: Response 2 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation; PART IV: Latent Class Analysis; 11: Some Issues in the Application of Latent Class Models for Questionnaire Design; 12: Response 1 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 327 $a13: Response 2 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire DesignPART V: Split-Sample Experiments; 14: Experiments for Evaluating Survey Questions; 15: Response 1 to Krosnick's Chapter: Experiments for Evaluating Survey Questions; 16: Response 2 to Krosnick's Chapter: Experiments for Evaluating Survey Questions; PART VI: Multitrait-Multimethod Experiments; 17: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 327 $a18: Response to Alwin's Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM ApproachPART VII: Field-Based Data Methods; 19: Using Field Tests to Evaluate Federal Statistical Survey Questionnaires; INDEX 330 $aInsightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question ev 410 0$aWiley series in survey methodology. 606 $aQuestionnaires$xDesign 606 $aSampling (Statistics)$xEvaluation 606 $aSocial surveys$xEvaluation 606 $aSocial surveys$xMethodology 608 $aElectronic books. 615 0$aQuestionnaires$xDesign. 615 0$aSampling (Statistics)$xEvaluation. 615 0$aSocial surveys$xEvaluation. 615 0$aSocial surveys$xMethodology. 676 $a301.072/3 701 $aMadans$b Jennifer H$0961467 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910133222203321 996 $aQuestion evaluation methods$92179708 997 $aUNINA