Question Evaluation Methods
Published on 26. July 2011
Software
Other digital
378 pages
978-1-118-03700-3 (ISBN)
Description
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 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 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.
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 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.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 250 mm
Width: 150 mm
Thickness: 15 mm
Weight
666 gr
ISBN-13
978-1-118-03700-3 (9781118037003)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jennifer Madans | Kristen Miller | Aaron Maitland
Question Evaluation Methods
Contributing to the Science of Data Quality
E-Book
10/2011
Wiley
€84.99
Available for download
Jennifer Madans | Kristen Miller | Aaron Maitland
Question Evaluation Methods
Contributing to the Science of Data Quality
E-Book
07/2011
Wiley
€81.99
Available for download
Person
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.
Content
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 Alisu 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