Question Evaluation Methods: Contributing to the Science of Data Quality
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About this ebook
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.
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Analysis of Health Surveys Rating: 0 out of 5 stars0 ratingsComplex Surveys: A Guide to Analysis Using R Rating: 0 out of 5 stars0 ratingsIntroduction to Survey Quality Rating: 0 out of 5 stars0 ratingsMethods for Testing and Evaluating Survey Questionnaires Rating: 0 out of 5 stars0 ratingsAdvances in Telephone Survey Methodology Rating: 0 out of 5 stars0 ratingsEnvisioning the Survey Interview of the Future Rating: 0 out of 5 stars0 ratingsDesigning and Conducting Business Surveys Rating: 0 out of 5 stars0 ratingsApplied Survey Methods: A Statistical Perspective Rating: 0 out of 5 stars0 ratingsQuestion Evaluation Methods: Contributing to the Science of Data Quality Rating: 0 out of 5 stars0 ratingsLatent Class Analysis of Survey Error Rating: 0 out of 5 stars0 ratingsNonresponse in Household Interview Surveys Rating: 0 out of 5 stars0 ratingsEstimation in Surveys with Nonresponse Rating: 0 out of 5 stars0 ratingsStatistical Disclosure Control Rating: 0 out of 5 stars0 ratingsStatistical Matching: Theory and Practice Rating: 0 out of 5 stars0 ratingsImproving Survey Response: Lessons Learned from the European Social Survey Rating: 0 out of 5 stars0 ratingsMethodology of Longitudinal Surveys Rating: 0 out of 5 stars0 ratingsAnalysis of Poverty Data by Small Area Estimation Rating: 0 out of 5 stars0 ratingsRegister-based Statistics: Statistical Methods for Administrative Data Rating: 0 out of 5 stars0 ratingsCognitive Interviewing Methodology Rating: 0 out of 5 stars0 ratingsTotal Survey Error in Practice Rating: 0 out of 5 stars0 ratingsOnline Panel Research: A Data Quality Perspective Rating: 0 out of 5 stars0 ratingsSmall Area Estimation Rating: 0 out of 5 stars0 ratingsAdvances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC) Rating: 0 out of 5 stars0 ratingsImplementation of Large-Scale Education Assessments Rating: 0 out of 5 stars0 ratings
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