|  | Madans, Jennifer / Miller, Kristen / Maitland, Aaron / Willis, Gordon
Question Evaluation Methods
Contributing to the Science of Data Quality
Wiley Series in Survey Methodology
 1. Auflage August 2011
69,90 Euro
2011. 378 Seiten, Softcover
ISBN 978-0-470-76948-5 - John Wiley & Sons
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| Kurzbeschreibung
Reliability and validity are the most important quality aspects of survey questions. Featuring contributions from prominent researchers in the field of survey methodology, Question Evaluation Methods supplies various points of views on common question evaluation methods and provides insightful observations on best practices for data collection that can be applied across the health and social sciences. A must-read for government statisticians, survey methodologists, researchers, and practitioners, this unique volume introduces an interdisciplinary, cross-method conversation that is essential for advancing knowledge about data quality and ensuring the quality of Federal statistics.
Aus dem Inhalt
Contributors ix
Preface xi
1 Introduction 1
Jennifer Madans, Kristen Miller, Aaron Maitland, and Gordon Willis
I BEHAVIOR CODING 5
2 Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 7
Floyd J. Fowler, Jr.
3 Response 1 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 23
Nora Cate Schaeffer and Jennifer Dykema
4 Response 2 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 41
Alisú Schoua-Glusberg
II COGNITIVE INTERVIEWING 49
5 Cognitive Interviewing 51
Kristen Miller
6 Response 1 to Miller's Chapter: Cognitive Interviewing 77
Gordon Willis
7 Response 2 to Miller's Chapter: Cognitive Interviewing 93
Frederick G. Conrad
III ITEM RESPONSE THEORY 103
8 Applying Item Response Theory for Questionnaire Evaluation 105
Bryce B. Reeve
9 Response 1 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation 125
Ron D. Hays
10 Response 2 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation 137
Clyde Tucker, Brian Meekins, Jennifer Edgar, and Paul P. Biemer
IV LATENT CLASS ANALYSIS 151
11 Some Issues in the Application of Latent Class Models for Questionnaire Design 153
Paul P. Biemer and Marcus Berzofsky
12 Response 1 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 187
Frauke Kreuter
13 Response 2 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 199
Janet A. Harkness and Timothy P. Johnson
V SPLIT-SAMPLE EXPERIMENTS 213
14 Experiments for Evaluating Survey Questions 215
Jon A. Krosnick
15 Response 1 to Krosnick's Chapter: Experiments for Evaluating Survey Questions 239
Johnny Blair
16 Response 2 to Krosnick's Chapter: Experiments for Evaluating Survey Questions 253
Theresa DeMaio and Stephanie Willson
VI MULTITRAIT-MULTIMETHOD EXPERIMENTS 263
17 Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 265
Duane F. Alwin
18 Response to Alwin's Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 295
Peter Ph. Mohler
VII FIELD-BASED DATA METHODS 319
19 Using Field Tests to Evaluate Federal Statistical Survey Questionnaires 321
Brian A. Harris-Kojetin and James M. Dahlhamer
Index 345
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