{"product_id":"question-evaluation-methods-contributing-to-the-science-of-data-quality-paperback","title":"Question Evaluation Methods: Contributing to the Science of Data Quality - Paperback","description":"\u003cp\u003eby \u003cb\u003eJennifer Madans\u003c\/b\u003e (Author), \u003cb\u003eKristen Miller\u003c\/b\u003e (Author), \u003cb\u003eAaron Maitland\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInsightful observations on common question evaluation methods and best practices for data collection in survey research\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e\u003cp\u003eFeaturing contributions from leading researchers and academicians in the field of survey research, \u003ci\u003eQuestion Evaluation Methods: Contributing to the Science of Data Quality\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eBased 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: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eBehavior coding\u003c\/li\u003e \u003cli\u003eCognitive interviewing\u003c\/li\u003e \u003cli\u003eItem response theory\u003c\/li\u003e \u003cli\u003eLatent class analysis\u003c\/li\u003e \u003cli\u003eSplit-sample experiments\u003c\/li\u003e \u003cli\u003eMultitrait-multimethod experiments\u003c\/li\u003e \u003cli\u003eField-based data methods\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA 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.\u003c\/p\u003e \u003cp\u003eQuestion 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eInsightful observations on common question evaluation methods and best practices for data collection in survey research\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eFeaturing contributions from leading researchers and academicians in the field of survey research, \u003ci\u003eQuestion Evaluation Methods: Contributing to the Science of Data Quality\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eBased 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: \u003c\/p\u003e \u003cul\u003e \u003cli\u003e Behavior coding \u003c\/li\u003e \u003cli\u003e \u003cp\u003eCognitive interviewing\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eItem response theory\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eLatent class analysis\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSplit-sample experiments\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMultitrait-multimethod experiments\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eField-based data methods\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eQuestion Evaluation Methods\u003c\/i\u003e 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eJENNIFER MADANS, PhD, \u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eKRISTEN MILLER, PhD\u003c\/b\u003e, 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAARON MAITLAND, MS, \u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGORDON WILLIS, PhD, \u003c\/b\u003e 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 378\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.1 x 6.1 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 02, 2011\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51756084494624,"sku":"9780470769485","price":149.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/530a9ac3925bd90d6328c0643978fa75.webp?v=1780073722","url":"https:\/\/ebocreations.com\/products\/question-evaluation-methods-contributing-to-the-science-of-data-quality-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}