Question Evaluation Methods Contributing to the Science of Data Quality

by Madans, Jennifer; Miller, Kristen; Maitland, Aaron; Willis, Gordon B.

• ISBN13: 9780470769485
• ISBN10: 0470769483
• Edition: 1st
• Format: Paperback
• Copyright: 2011-08-02
• Publisher: Wiley

Summary

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.

Author Biography

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.

Table of Contents

Contributors	p. ix
Preface	p. xi
Introduction	p. 1
Behavior Coding	p. 5
Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions	p. 7
Response 1 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions	p. 23
Response 2 to Fowler's Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions	p. 41
Cognitive Interviewing	p. 49
Cognitive Interviewing	p. 51
Response 1 to Miller's Chapter: Cognitive Interviewing	p. 77
Response 2 to Miller's Chapter: Cognitive Interviewing	p. 93
Item Response Theory	p. 103
Applying Item Response Theory for Questionnaire Evaluation	p. 105
Response 1 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation	p. 125
Response 2 to Reeve's Chapter: Applying Item Response Theory for Questionnaire Evaluation	p. 137
Latent Class Analysis	p. 151
Some Issues in the Application of Latent Class Models for Questionnaire Design	p. 153
Response 1 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design	p. 187
Response 2 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design	p. 199
Split-Sample Experiments	p. 213
Experiments for Evaluating Survey Questions	p. 215
Response 1 to Krosnick's Chapter: Experiments for Evaluating Survey Questions	p. 239
Response 2 to Krosnick's Chapter: Experiments for Evaluating Survey Questions	p. 253
Multitrait-Multimethod Experiments	p. 263
Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach	p. 265
Response to Alwin's Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach	p. 295
Field-Based Data Methods	p. 319
Using Field Tests to Evaluate Federal Statistical Survey Questionnaires	p. 321
Index	p. 345
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