Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2011
Genre:	Schulbücher
	Allg. Public Health / Evaluation & Research Methods / Evaluierung u. Researchmethoden / field-based assessments / Fragebogen / Gesundheits- u. Sozialwesen / Health & Social Care / item response theory / latent analysis / Methoden der Daten- u. Stichprobenerhebung / Public Health General / Statistics / Statistik / Survey design / Survey Research Methods & Sampling mehr...
ISBN:	9780470769485
EAN-Code:	9780470769485
Verlag:	Wiley
Einband:	Kartoniert
Sprache:	English
Serie:	Wiley Series in Survey Methodology
Dimensionen:	H 234 mm / B 158 mm / D 20 mm
Gewicht:	549 gr
Seiten:	378
Illustration:	Charts: 3 B&W, 0 Color; Drawings: 19 B&W, 0 Color; Screen captures: 0 B&W, 0 Color; Graphs: 10 B&W, 0 Color
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.