Quantitative Psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
Van Der Ark, L. Andries, Wiberg, Marie, Culpepper, Steven A.
- 出版商: Springer
- 出版日期: 2018-08-02
- 售價: $6,780
- 貴賓價: 9.5 折 $6,441
- 語言: 英文
- 頁數: 430
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3319858793
- ISBN-13: 9783319858791
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This proceedings volume compiles and expands on selected and peer reviewed presentations given at the 81st Annual Meeting of the Psychometric Society (IMPS), organized by the University of North Carolina at Greensboro, and held in Asheville, North Carolina, July 11th to 17th, 2016. IMPS is one of the largest international meetings focusing on quantitative measurement in psychology, education, and the social sciences, both in terms of participants and number of presentations. The meeting built on the Psychometric Society's mission to share quantitative methods relevant to psychology, addressing a diverse set of psychometric topics including item response theory, factor analysis, structural equation modeling, time series analysis, mediation analysis, cognitive diagnostic models, and multi-level models. Selected presenters were invited to revise and expand their contributions and to have them peer reviewed and published in this proceedings volume.
Previous volumes to showcase work from the Psychometric Society's meetings are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (Springer, 2015), and Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (Springer, 2016).
Previous volumes to showcase work from the Psychometric Society's meetings are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (Springer, 2015), and Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (Springer, 2016).
作者簡介
L. Andries van der Ark is professor by special appointment in quantitative research methods at the Research Institute of Child Development and Education of the University of Amsterdam. His research interests include reliability analysis, nonparametric item response theory, Mokken scale analysis, and marginal models for the analysis of test and questionnaire data. Marie Wiberg is professor of statistics with a specialty in psychometrics at Umeå University in Sweden. Her research interests include test equating, applied statistics, large scale assessments, and psychometrics in general. Steven A. Culpepper is associate professor of statistics at the University of Illinois at Urbana-Champaign. His research interests include statistical modeling in the social sciences, Bayesian models and computation, cognitive diagnosis, and alternative standardized testing formats.
Jeffrey A. Douglas is a professor of statistics at the University of Illinois at Urbana-Champaign. He conducts research in latent variable analysis with a particular emphasis on item response models and cognitive diagnosis models with applications in educational testing.
Wen-Chung Wang is chair professor of educational and psychological measurement at the Educational University of Hong Kong. His research interests include Rasch measurement, item response theory, computerized adaptive testing, diagnostic classification models, and ipsative data analysis.
Jeffrey A. Douglas is a professor of statistics at the University of Illinois at Urbana-Champaign. He conducts research in latent variable analysis with a particular emphasis on item response models and cognitive diagnosis models with applications in educational testing.
Wen-Chung Wang is chair professor of educational and psychological measurement at the Educational University of Hong Kong. His research interests include Rasch measurement, item response theory, computerized adaptive testing, diagnostic classification models, and ipsative data analysis.
