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＜電子ブック＞
Quantitative Psychology Research : The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 / edited by L. Andries van der Ark, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, Sy-Miin Chow
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 140)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
本文言語	英語
大きさ	IX, 387 p. 79 illus., 30 illus. in color : online resource
著者標目	van der Ark, L. Andries editor Bolt, Daniel M editor Wang, Wen-Chung editor Douglas, Jeffrey A editor Chow, Sy-Miin editor SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Psychometrics LCSH:Psychology -- Methodology  全ての件名で検索 FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Psychometrics FREE:Psychological Methods
一般注記	Item Response Theory -- Test Data -- Factor Analysis -- Structural Equation Modeling -- Cognitive Diagnostic Modeling -- Propensity Scores -- Multilevel Modeling -- Mediation Analysis -- Time Series These research articles from the 79th Annual Meeting of the Psychometric Society (IMPS) cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 79th annual meeting took place in Madison, WI between July 21nd and 25th, 2014. Previous volumes to showcase work from the Psychometric Society’s Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013) and Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society  (Springer, 2015) HTTP:URL=https://doi.org/10.1007/978-3-319-19977-1

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