Question evaluation methods : contributing to the science of data quality / edited by Jennifer Madans, Kristen Miller, Aaron Maitland (National Center for Health Statistics, Centers for Disease prevention, Hyattsville, Maryland), Gordon Willis (Applied Research Program, National Center Institute, Bethesda, Maryland)

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Wiley series in probability and statistics | Wiley Series in Survey Methodology Ser ; v.567 | Wiley Series in Survey MethodologyVerlag: Hoboken, N.J : John Wiley & Sons, [2011]Beschreibung: 1 Online-Ressource (xii, 364 Seiten) : IllustrationenISBN:

1283257734
9781118036983
9781283257732

Schlagwörter:

Andere physische Formen: 9780470769485 | 9781118036983 | 1283257149 | Erscheint auch als: Question evaluation methods. Druckausgabe. Hoboken, NJ : Wiley, 2011. XII, 364 S.DDC-Klassifikation:

301.0723
301.072/3 22

RVK: RVK: MR 2500LOC-Klassifikation:

HM537

Online-Ressourcen:

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Zusammenfassung: 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 evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences. Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior coding Cognitive interviewing Item response theory Latent class analysis Split-sample experiments Multitrait-multimethod experiments Field-based data methods A concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data. Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methodsZusammenfassung: Intro -- 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 Interviewing -- PART 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 Design -- PART 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 Approach.PPN: PPN: 809412802Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE

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