Question Evaluation Methods
Contributing to the Science of Data Quality
Published on 15. July 2011
368 pages
978-1-118-03698-3 (ISBN)
Description
Insightful observations on common question evaluation methodsand best practices for data collection in survey research
Featuring contributions from leading researchers andacademicians in the field of survey research, QuestionEvaluation Methods: Contributing to the Science of Data Qualitysheds light on question response error and introduces aninterdisciplinary, cross-method approach that is essential foradvancing knowledge about data quality and ensuring the credibilityof conclusions drawn from surveys and censuses. Offering a varietyof expert analyses of question evaluation methods, the bookprovides recommendations and best practices for researchers workingwith data in the health and social sciences.
Based on a workshop held at the National Center for HealthStatistics (NCHS), this book presents and compares various questionevaluation methods that are used in modern-day data collection andanalysis. Each section includes an introduction to a method by aleading authority in the field, followed by responses from otherexperts that outline related strengths, weaknesses, and underlyingassumptions. Topics covered include:
* Behavior coding
* Cognitive interviewing
* Item response theory
* Latent class analysis
* Split-sample experiments
* Multitrait-multimethod experiments
* Field-based data methods
A concluding discussion identifies common themes across thepresented material and their relevance to the future of surveymethods, data analysis, and the production of Federal statistics.Together, the methods presented in this book offer researchersvarious scientific approaches to evaluating survey quality toensure that the responses to these questions result in reliable,high-quality data.
Question Evaluation Methods is a valuable supplement for courseson questionnaire design, survey methods, and evaluation methods atthe upper-undergraduate and graduate levels. it also serves as areference for government statisticians, survey methodologists, andresearchers and practitioners who carry out survey research in theareas of the social and health sciences.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Newark
United States
Publishing group
John Wiley & Sons
Illustrations
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
File size
3,57 MB
ISBN-13
978-1-118-03698-3 (9781118036983)
Schweitzer Classification
Other editions
Additional editions
Jennifer Madans | Kristen Miller | Aaron Maitland
Question Evaluation Methods
Contributing to the Science of Data Quality
Book
08/2011
Wiley
€96.50
Shipment within 10-20 days
Persons
JENNIFER MADANS, PhD, is Associate Director for Science atthe National Center for Health Statistics (NCHS). She has publishednumerous papers in the areas of health status measurement, chronicdisease epidemiology, and aging.
KRISTEN MILLER, PhD, is Director of the Question DesignResearch Laboratory at the NCHS. She currently oversees thequestion evaluation research program and designs and implementsresearch projects on data quality and comparability in the healthsciences.
AARON MAITLAND, MS, is Statistician at the QuestionDesign Research Laboratory at the NCHS, where he is theadministrator of Q-Bank, the agency's online database of questionevaluation reports for Federal surveys.
GORDON WILLIS, PhD, is a Cognitive Psychologist at theApplied Research Program in the Division of Cancer Control andPopulation Sciences at the National Cancer Institute. Dr. Willishas more than twenty years of experience in planning, conducting,and reporting of all phases of cognitive laboratory research.
Content
Contributors ix
Preface xi
1 Introduction 1
Jennifer Madans, Kristen Miller, Aaron Maitland, and GordonWillis
I BEHAVIOR CODING 5
2 Coding the Behavior of Interviewers and Respondents toEvaluate Survey Questions 7
Floyd J. Fowler, Jr.
3 Response 1 to Fowler's Chapter: Coding the Behaviorof Interviewers and Respondents to Evaluate Survey Questions23
Nora Cate Schaeffer and Jennifer Dykema
4 Response 2 to Fowler's Chapter: Coding the Behaviorof Interviewers and Respondents to Evaluate Survey Questions41
Alisú Schoua-Glusberg
II COGNITIVE INTERVIEWING 49
5 Cognitive Interviewing 51
Kristen Miller
6 Response 1 to Miller's Chapter: CognitiveInterviewing 77
Gordon Willis
7 Response 2 to Miller's Chapter: CognitiveInterviewing 93
Frederick G. Conrad
III ITEM RESPONSE THEORY 103
8 Applying Item Response Theory for Questionnaire Evaluation105
Bryce B. Reeve
9 Response 1 to Reeve's Chapter: Applying Item ResponseTheory for Questionnaire Evaluation 125
Ron D. Hays
10 Response 2 to Reeve's Chapter: Applying ItemResponse 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 forQuestionnaire Design 153
Paul P. Biemer and Marcus Berzofsky
12 Response 1 to Biemer and Berzofsky's Chapter: SomeIssues in the Application of Latent Class Models for QuestionnaireDesign 187
Frauke Kreuter
13 Response 2 to Biemer and Berzofsky's Chapter: SomeIssues in the Application of Latent Class Models for QuestionnaireDesign 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 forEvaluating Survey Questions 239
Johnny Blair
16 Response 2 to Krosnick's Chapter: Experiments forEvaluating Survey Questions 253
Theresa DeMaio and Stephanie Willson
VI MULTITRAIT-MULTIMETHOD EXPERIMENTS 263
17 Evaluating the Reliability and Validity of SurveyInterview Data Using the MTMM Approach 265
Duane F. Alwin
18 Response to Alwin's Chapter: Evaluating theReliability and Validity of Survey Interview Data Using the MTMMApproach 295
Peter Ph. Mohler
VII FIELD-BASED DATA METHODS 319
19 Using Field Tests to Evaluate Federal Statistical SurveyQuestionnaires 321
Brian A. Harris-Kojetin and James M. Dahlhamer
Index 345
