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Question Evaluation Methods

Contributing to the Science of Data Quality
BuchKartoniert, Paperback
378 Seiten
Englisch
Wiley & Sonserschienen am12.08.20111. Auflage
* More than twenty notable survey methodology researchers from around the world have gathered to contribute valuable insight on the role of question evaluation methods in improving data quality.mehr
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Produkt

Klappentext* More than twenty notable survey methodology researchers from around the world have gathered to contribute valuable insight on the role of question evaluation methods in improving data quality.
Details
ISBN/GTIN978-0-470-76948-5
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2011
Erscheinungsdatum12.08.2011
Auflage1. Auflage
Seiten378 Seiten
SpracheEnglisch
Artikel-Nr.11762631

Inhalt/Kritik

Inhaltsverzeichnis
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 345mehr

Autor

JENNIFER MADANS, PhD, is Associate Director for Science at the National Center for Health Statistics (NCHS). She has published numerous papers in the areas of health status measurement, chronic disease epidemiology, and aging.

KRISTEN MILLER, PhD, is Director of the Question Design Research Laboratory at the NCHS. She currently oversees the question evaluation research program and designs and implements research projects on data quality and comparability in the health sciences.

AARON MAITLAND, MS, is Statistician at the Question Design Research Laboratory at the NCHS, where he is the administrator of Q-Bank, the agency's online database of question evaluation reports for Federal surveys.

GORDON WILLIS, PhD, is a Cognitive Psychologist at the Applied Research Program in the Division of Cancer Control and Population Sciences at the National Cancer Institute. Dr. Willis has more than twenty years of experience in planning, conducting, and reporting of all phases of cognitive laboratory research.
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