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Quantitative Psychology Research

The 78th Annual Meeting of the Psychometric Society

  • Conference proceedings
  • © 2015

Overview

  • Encourages the use of quantitative methodology to answer the latest research questions facing psychologists
  • Features original research contributed by scholars from around the world
  • Topics with a primary focus on measurement include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling and psychological scaling
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 89)

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Table of contents (29 papers)

Keywords

About this book

The 78th Annual Meeting of the Psychometric Society (IMPS) builds on the Psychometric Society's mission to share quantitative methods relevant to psychology. The chapters of this volume present cutting-edge work in the field. Topics 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 in the social sciences who use quantitative methods. Prior knowledge of statistical methods is recommended. The 78th annual meeting took place in Arnhem, The Netherlands between July 22nd and 26th, 2013. The previous volume to showcase work from the Psychometric Society’s Meeting is New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2014).

Editors and Affiliations

  • Department of Psychology, Arizona State University, Tempe, USA

    Roger E. Millsap

  • Dept. of Educational Psychology, University of Wisconsin, Madison, USA

    Daniel M. Bolt

  • University of Amsterdam, Amsterdam, The Netherlands

    L. Andries van der Ark

  • Department of Psychological Studies, The Hong Kong Institute of Education, Hong Kong, Hong Kong SAR

    Wen-Chung Wang

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