جزییات کتاب
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 codingCognitive interviewingItem response theoryLatent class analysisSplit-sample experimentsMultitrait-multimethod experimentsField-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 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.Content: Chapter 1 Introduction (pages 1–4): Jennifer Madans, Kristen Miller, Aaron Maitland and Gordon WillisChapter 2 Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions (pages 5–21): Floyd J. FowlerChapter 3 Response 1 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions (pages 23–39): Nora Cate Schaeffer and Jennifer DykemaChapter 4 Response 2 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions (pages 41–48): Alisu Schoua?GlusbergChapter 5 Cognitive Interviewing (pages 49–75): Kristen MillerChapter 6 Response 1 to Miller's Chapter: Cognitive Interviewing (pages 77–91): Gordon WillisChapter 7 Response 2 to Miller's Chapter: Cognitive Interviewing (pages 93–102): Frederick G. ConradChapter 8 Applying Item Response Theory for Questionnaire Evaluation (pages 103–123): Bryce B. ReeveChapter 9 Response 1 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation (pages 125–135): Ron D. HaysChapter 10 Response 2 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation (pages 137–150): Clyde Tucker, Brian Meekins, Jennifer Edgar and Paul P. BiemerChapter 11 Some Issues in the Application of Latent Class Models for Questionnaire Design (pages 151–185): Paul P. Biemer and Marcus BerzofskyChapter 12 Response 1 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design (pages 187–197): Frauke KreuterChapter 13 Response 2 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design (pages 199–212): Janet A. Harkness and Timothy P. JohnsonChapter 14 Experiments for Evaluating Survey Questions (pages 213–238): Jon A. KrosnickChapter 15 Response 1 to Krosnick's Chapter: Experiments for Evaluating Survey Questions (pages 239–251): Johnny BlairChapter 16 Response 2 to Krosnick's Chapter: Experiments for Evaluating Survey Questions (pages 253–262): Theresa DeMaio and Stephanie WillsonChapter 17 Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach (pages 263–293): Duane F. AlwinChapter 18 Response to Alwin's Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach (pages 295–318): Peter Ph. MohlerChapter 19 Using Field Tests to Evaluate Federal Statistical Survey Questionnaires (pages 319–344): Brian A. Harris?Kojetin and James M. Dahlhamer