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New Developments in Quantitative Psychology : Presentations from the 77th Annual Psychometric Society Meeting / edited by Roger E. Millsap, L. Andries van der Ark, Daniel M. Bolt, Carol M. Woods
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 66)
版 | 1st ed. 2013. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2013 |
本文言語 | 英語 |
大きさ | IX, 506 p. 107 illus., 44 illus. in color : online resource |
著者標目 | Millsap, Roger E editor van der Ark, L. Andries editor Bolt, Daniel M editor Woods, Carol M editor SpringerLink (Online service) |
件 名 | LCSH:Social sciences -- Statistical methods
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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 | Preface -- The Effect of Response Model Misspecification and Uncertainty on the Psychometric Properties of Estimates -- Heterogeneous Populations and Multistage Test Design -- Backmatter The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology. The conference included workshops, invited talks by well-known scholars, and presentations of submitted papers and posters. It was hosted by the University of Nebraska-Lincoln and took place between the 9th and 12th of July, 2012. The chapters of this volume are based on presentations from the meeting and reflect the latest work in the field. Topics with a primarily measurement focus include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others. The papers in this volume will be especially useful for researchers (graduate students and other quantitative researchers) in thesocial sciences who use quantitative methods, particularly psychologists. Most readers will benefit from some prior knowledge of statistical methods in reading the chapters HTTP:URL=https://doi.org/10.1007/978-1-4614-9348-8 |
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Springer eBooks | 9781461493488 |
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EB00230413 |
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