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Question Evaluation Methods
Contributing to the Science of Data Quality
Jennifer Madans (Author), Kristen Miller (Author), Aaron Maitland (Author), Gordon B. Willis (Author)
9780470769485, Wiley
Paperback / softback, published 12 August 2011
378 pages, Charts: 3 B&W, 0 Color; Drawings: 19 B&W, 0 Color; Screen captures: 0 B&W, 0 Color; Graphs: 10 B&W, 0 Color
23.4 x 15.8 x 2 cm, 0.549 kg
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: 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 methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.
Contributors ix Preface xi 1 Introduction 1 I BEHAVIOR CODING 5 2 Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 7 3 Response 1 to Fowler’s Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 23 4 Response 2 to Fowler’s Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 41 II COGNITIVE INTERVIEWING 49 5 Cognitive Interviewing 51 6 Response 1 to Miller’s Chapter: Cognitive Interviewing 77 7 Response 2 to Miller’s Chapter: Cognitive Interviewing 93 III ITEM RESPONSE THEORY 103 8 Applying Item Response Theory for Questionnaire Evaluation 105 9 Response 1 to Reeve’s Chapter: Applying Item Response Theory for Questionnaire Evaluation 125 10 Response 2 to Reeve’s Chapter: Applying Item Response Theory for Questionnaire Evaluation 137 IV LATENT CLASS ANALYSIS 151 11 Some Issues in the Application of Latent Class Models for Questionnaire Design 153 12 Response 1 to Biemer and Berzofsky’s Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 187 13 Response 2 to Biemer and Berzofsky’s Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 199 V SPLIT-SAMPLE EXPERIMENTS 213 14 Experiments for Evaluating Survey Questions 215 15 Response 1 to Krosnick’s Chapter: Experiments for Evaluating Survey Questions 239 16 Response 2 to Krosnick’s Chapter: Experiments for Evaluating Survey Questions 253 VI MULTITRAIT-MULTIMETHOD EXPERIMENTS 263 17 Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 265 18 Response to Alwin’s Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 295 VII FIELD-BASED DATA METHODS 319 19 Using Field Tests to Evaluate Federal Statistical Survey Questionnaires 321 Index 345
Jennifer Madans, Kristen Miller, Aaron Maitland, and Gordon Willis
Floyd J. Fowler, Jr.
Nora Cate Schaeffer and Jennifer Dykema
Alisú Schoua-Glusberg
Kristen Miller
Gordon Willis
Frederick G. Conrad
Bryce B. Reeve
Ron D. Hays
Clyde Tucker, Brian Meekins, Jennifer Edgar, and Paul P. Biemer
Paul P. Biemer and Marcus Berzofsky
Frauke Kreuter
Janet A. Harkness and Timothy P. Johnson
Jon A. Krosnick
Johnny Blair
Theresa DeMaio and Stephanie Willson
Duane F. Alwin
Peter Ph. Mohler
Brian A. Harris-Kojetin and James M. Dahlhamer
Subject Areas: Mathematics [PB]
