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Quantitative Psychology Research

The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014

  • Conference proceedings
  • © 2015

Access provided by Autonomous University of Puebla

Overview

  • Features peer-reviewed research from scholars who participated in the 79th Annual Meeting of the Psychometric Society in Madison, WI
  • Topics include item response theory, factor analysis, structural equation modelling, time series analysis, mediation analysis, propensity score methods, cognitive diagnostic models, and multi-level models, among others
  • Contains the latest work in measurement and statistics within psychology?

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 140)

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About this book

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).​

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Keywords

Table of contents (26 papers)

Editors and Affiliations

  • University of Amsterdam, Amsterdam, The Netherlands

    L. Andries van der Ark

  • University of Wisconsin, Madison, USA

    Daniel M. Bolt

  • The Hong Kong Institute of Education, Hong Kong, Hong Kong SAR

    Wen-Chung Wang

  • University of Illinois, Champaign, USA

    Jeffrey A. Douglas

  • The Penn State University, University Park, USA

    Sy-Miin Chow

Bibliographic Information

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