Question Evaluation Methods – Contributing to the Science of Data Quality
Contributing to the Science of Data Quality
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>Preface xi</p>
<p>1 Introduction 1<br /> Jennifer Madans, Kristen Miller, Aaron Maitland, and Gordon Willis</p>
<p>I BEHAVIOR CODING 5</p>
<p>2 Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 7<br /> Floyd J. Fowler, Jr.</p>
<p>3 Response 1 to Fowler s Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 23<br /> Nora Cate Schaeffer and Jennifer Dykema</p>
<p>4 Response 2 to Fowler s Chapter: Coding the Behavior of Interviewers and Respondents to Evaluate Survey Questions 41<br /> Alisú Schoua–Glusberg</p>
<p>II COGNITIVE INTERVIEWING 49</p>
<p>5 Cognitive Interviewing 51<br /> Kristen Miller</p>
<p>6 Response 1 to Miller s Chapter: Cognitive Interviewing 77<br /> Gordon Willis</p>
<p>7 Response 2 to Miller s Chapter: Cognitive Interviewing 93<br /> Frederick G. Conrad</p>
<p>III ITEM RESPONSE THEORY 103</p>
<p>8 Applying Item Response Theory for Questionnaire Evaluation 105<br /> Bryce B. Reeve</p>
<p>9 Response 1 to Reeve s Chapter: Applying Item Response Theory for Questionnaire Evaluation 125<br /> Ron D. Hays</p>
<p>10 Response 2 to Reeve s Chapter: Applying Item Response Theory for Questionnaire Evaluation 137<br /> Clyde Tucker, Brian Meekins, Jennifer Edgar, and Paul P. Biemer</p>
<p>IV LATENT CLASS ANALYSIS 151</p>
<p>11 Some Issues in the Application of Latent Class Models for Questionnaire Design 153<br /> Paul P. Biemer and Marcus Berzofsky</p>
<p>12 Response 1 to Biemer and Berzofsky s Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 187<br /> Frauke Kreuter</p>
<p>13 Response 2 to Biemer and Berzofsky s Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design 199<br /> Janet A. Harkness and Timothy P. Johnson</p>
<p>V SPLIT–SAMPLE EXPERIMENTS 213</p>
<p>14 Experiments for Evaluating Survey Questions 215<br /> Jon A. Krosnick</p>
<p>15 Response 1 to Krosnick s Chapter: Experiments for Evaluating Survey Questions 239<br /> Johnny Blair</p>
<p>16 Response 2 to Krosnick s Chapter: Experiments for Evaluating Survey Questions 253<br /> Theresa DeMaio and Stephanie Willson</p>
<p>VI MULTITRAIT–MULTIMETHOD EXPERIMENTS 263</p>
<p>17 Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 265<br /> Duane F. Alwin</p>
<p>18 Response to Alwin s Chapter: Evaluating the Reliability and Validity of Survey Interview Data Using the MTMM Approach 295<br /> Peter Ph. Mohler</p>
<p>VII FIELD–BASED DATA METHODS 319</p>
<p>19 Using Field Tests to Evaluate Federal Statistical Survey Questionnaires 321<br /> Brian A. Harris–Kojetin and James M. Dahlhamer</p>
<p>Index 345</p>
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