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Quantitative Psychology Research

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

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. L. Andries van der Ark

    1. University of Amsterdam, Amsterdam, The Netherlands

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  2. Daniel M. Bolt

    1. University of Wisconsin, Madison, USA

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  3. Wen-Chung Wang

    1. The Hong Kong Institute of Education, Hong Kong, Hong Kong SAR

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  4. Jeffrey A. Douglas

    1. University of Illinois, Champaign, USA

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  5. Sy-Miin Chow

    1. The Penn State University, University Park, USA

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  • 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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Table of contents (26 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Extending the Use of Multidimensional IRT Calibration as Projection: Many-to-One Linking and Linear Computation of Projected Scores

    • David Thissen, Yang Liu, Brooke Magnus, Hally Quinn
    Pages 1-16

  3. The Reliability of Diagnosing Broad and Narrow Skills in Middle School Mathematics with the Multicomponent Latent Trait Model

    • Susan Embretson, Kristin Morrison, Hea Won Jun
    Pages 17-26

  4. New IRT Models for Examinee-Selected Items

    • Wen-Chung Wang, Chen-Wei Liu
    Pages 27-41

  5. Gauss–Hermite Quadrature in Marginal Maximum Likelihood Estimation of Item Parameters

    • Seock-Ho Kim, Yu Bao, Erin Horan, Meereem Kim, Allan S. Cohen
    Pages 43-58

  6. GPU-Accelerated Computing with Gibbs Sampler for the 2PNO IRT Model

    • Yanyan Sheng, William S. Welling, Michelle M. Zhu
    Pages 59-73

  7. Collusion Detection Using Joint Response Time Models

    • Anne Thissen-Roe, Michael S. Finger
    Pages 75-87

  8. The Performance of the Modified Multidimensional Priority Index for Item Selection in Variable-Length MCAT

    • Ya-Hui Su
    Pages 89-97

  9. A Nonparametric Estimator of a Monotone Item Characteristic Curve

    • Mario Luzardo, Pilar Rodríguez
    Pages 99-108

  10. Goodness-of-Fit Methods for Nonparametric IRT Models

    • Klaas Sijtsma, J. Hendrik Straat, L. Andries van der Ark
    Pages 109-120

  11. A Comparison of Differential Item Functioning (DIF) Detection for Dichotomously Scored Items Using IRTPRO, BILOG-MG, and IRTLRDIF

    • Mei Ling Ong, Seock-Ho Kim, Allan Cohen, Stephen Cramer
    Pages 121-132

  12. An Empirical Study of the Impact of the Choice of Persistence Models in Value Added Modeling upon Teacher Effect Estimates

    • Yong Luo, Hong Jiao, Robert Lissitz
    Pages 133-143

  13. The Impact of Model Misspecification with Multidimensional Test Data

    • Sakine Gocer Sahin, Cindy M. Walker, Selahattin Gelbal
    Pages 145-172

  14. Identifying Feature Sequences from Process Data in Problem-Solving Items with N-Grams

    • Qiwei He, Matthias von Davier
    Pages 173-190

  15. Evaluating the Detection of Aberrant Responses in Automated Essay Scoring

    • Mo Zhang, Jing Chen, Chunyi Ruan
    Pages 191-208

  16. On Closeness Between Factor Analysis and Principal Component Analysis Under High-Dimensional Conditions

    • L. Liang, K. Hayashi, Ke-Hai Yuan
    Pages 209-221

  17. The Infinitesimal Jackknife and Analysis of Higher Order Moments

    • Robert Jennrich, Albert Satorra
    Pages 223-231

  18. A General SEM Framework for Integrating Moderation and Mediation: The Constrained Approach

    • Shu-Ping Chen
    Pages 233-250

  19. Mastery Classification of Diagnostic Classification Models

    • Yuehmei Chien, Ning Yan, Chingwei D. Shin
    Pages 251-262

  20. Exploring Joint Maximum Likelihood Estimation for Cognitive Diagnosis Models

    • Chia-Yi Chiu, Hans-Friedrich Köhn, Yi Zheng, Robert Henson
    Pages 263-277
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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

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