New Developments in Quantitative Psychology Presentations from the 77th Annual Psychometric Society Meeting /

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 b...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Millsap, Roger E. (Επιμελητής έκδοσης), van der Ark, L. Andries (Επιμελητής έκδοσης), Bolt, Daniel M. (Επιμελητής έκδοσης), Woods, Carol M. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
Σειρά:Springer Proceedings in Mathematics & Statistics, 66
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a New Developments in Quantitative Psychology  |h [electronic resource] :  |b Presentations from the 77th Annual Psychometric Society Meeting /  |c edited by Roger E. Millsap, L. Andries van der Ark, Daniel M. Bolt, Carol M. Woods. 
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505 0 |a Preface -- The Effect of Response Model Misspecification and Uncertainty on the Psychometric Properties of Estimates -- Heterogeneous Populations and Multistage Test Design -- Backmatter. 
520 |a 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 the social sciences who use quantitative methods, particularly psychologists.  Most readers will benefit from some prior knowledge of statistical methods in reading the chapters. 
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