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Question Evaluation Methods
Contributing to the Science of Data Quality
von Jennifer Madans, Kristen Miller, Aaron Maitland und Gordon WillisInsightful 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.
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.
