Question evaluation methods [[electronic resource] ] : contributing to the science of data quality / / edited by Jennifer Madans ... [et al.]

• Record Nr.: UNINA9910133222203321
• Pubbl/distr/stampa: Hoboken, N.J., : John Wiley & Sons, c2011
• ISBN: 1-283-25773-4; 9786613257734; 1-118-03699-9; 1-118-03700-6; 1-118-03698-0
• Descrizione fisica: 1 online resource (380 p.)
• Collana: Wiley series in survey methodology
• Altri autori (Persone): MadansJennifer H
• Disciplina: 301.072/3
• Soggetti: Questionnaires - Design; Sampling (Statistics) - Evaluation; Social surveys - Evaluation; Social surveys - Methodology; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 Interviewing; 7: 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; 13: 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; 18: 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
• Sommario/riassunto: Insightful 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