04525nam 2200673Ia 450 991013322220332120170814181806.01-283-25773-497866132577341-118-03699-91-118-03700-61-118-03698-0(CKB)3400000000015953(EBL)697942(OCoLC)816862066(SSID)ssj0000540552(PQKBManifestationID)11385834(PQKBTitleCode)TC0000540552(PQKBWorkID)10585773(PQKB)11110059(MiAaPQ)EBC697942(EXLCZ)99340000000001595320101129d2011 uy 0engur|n|---|||||txtccrQuestion evaluation methods[electronic resource] contributing to the science of data quality /edited by Jennifer Madans ... [et al.]Hoboken, N.J. John Wiley & Sonsc20111 online resource (380 p.)Wiley series in survey methodologyDescription based upon print version of record.0-470-76948-3 Includes bibliographical references and index.QUESTION 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 Interviewing7: 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 Design13: 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 Approach18: 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; INDEXInsightful 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 evWiley series in survey methodology.QuestionnairesDesignSampling (Statistics)EvaluationSocial surveysEvaluationSocial surveysMethodologyElectronic books.QuestionnairesDesign.Sampling (Statistics)Evaluation.Social surveysEvaluation.Social surveysMethodology.301.072/3Madans Jennifer H961467MiAaPQMiAaPQMiAaPQBOOK9910133222203321Question evaluation methods2179708UNINA