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The role of secondary covariates when estimating latent trait population distributions

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  • Neal Thomas

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Suggested Citation

  • Neal Thomas, 2002. "The role of secondary covariates when estimating latent trait population distributions," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 33-48, March.
  • Handle: RePEc:spr:psycho:v:67:y:2002:i:1:p:33-48
    DOI: 10.1007/BF02294708
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    References listed on IDEAS

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    1. Albert E. Beaton & Rebecca Zwick, 1992. "Chapter 1: Overview of the National Assessment of Educational Progress," Journal of Educational and Behavioral Statistics, , vol. 17(2), pages 95-109, June.
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    Cited by:

    1. Yan Huo & Jimmy de la Torre & Eun-Young Mun & Su-Young Kim & Anne Ray & Yang Jiao & Helene White, 2015. "A Hierarchical Multi-Unidimensional IRT Approach for Analyzing Sparse, Multi-Group Data for Integrative Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 834-855, September.
    2. Carolyn Anderson, 2013. "Multidimensional Item Response Theory Models with Collateral Information as Poisson Regression Models," Journal of Classification, Springer;The Classification Society, vol. 30(2), pages 276-303, July.
    3. Matthias von Davier & Lale Khorramdel & Qiwei He & Hyo Jeong Shin & Haiwen Chen, 2019. "Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities," Journal of Educational and Behavioral Statistics, , vol. 44(6), pages 671-705, December.
    4. Matthias von Davier & Sandip Sinharay, 2010. "Stochastic Approximation Methods for Latent Regression Item Response Models," Journal of Educational and Behavioral Statistics, , vol. 35(2), pages 174-193, April.
    5. Yajuan Si & Jerome P. Reiter, 2013. "Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys," Journal of Educational and Behavioral Statistics, , vol. 38(5), pages 499-521, October.
    6. Andreas Oranje & Andrew Kolstad, 2019. "Research on Psychometric Modeling, Analysis, and Reporting of the National Assessment of Educational Progress," Journal of Educational and Behavioral Statistics, , vol. 44(6), pages 648-670, December.

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