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Bayesian modeling of measurement error in predictor variables using item response theory

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  • Jean-Paul Fox

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  • Cees Glas
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/BF02294796
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 68 (2003)
    Issue (Month): 2 (June)
    Pages: 169-191

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    Handle: RePEc:spr:psycho:v:68:y:2003:i:2:p:169-191

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    Related research

    Keywords: classical test theory; Gibbs sampler; item response theory; hierarchical linear models; Markov Chain Monte Carlo; measurement error; multilevel model; multilevel IRT; two-parameter normal ogive model;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Jean-Paul Fox & Cees Glas, 2001. "Bayesian estimation of a multilevel IRT model using gibbs sampling," Psychometrika, Springer, vol. 66(2), pages 271-288, June.
    2. Bengt Muthén, 1989. "Latent variable modeling in heterogeneous populations," Psychometrika, Springer, vol. 54(4), pages 557-585, September.
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    Cited by:
    1. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer, vol. 69(2), pages 167-190, June.
    2. Michela Battauz & Ruggero Bellio, 2011. "Structural Modeling of Measurement Error in Generalized Linear Models with Rasch Measures as Covariates," Psychometrika, Springer, vol. 76(1), pages 40-56, January.
    3. Martijn Jong & Jan-Benedict Steenkamp, 2010. "Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research," Psychometrika, Springer, vol. 75(1), pages 3-32, March.
    4. Xin-Yuan Song & Zhao-Hua Lu & Jing-Heng Cai & Edward Ip, 2013. "A Bayesian Modeling Approach for Generalized Semiparametric Structural Equation Models," Psychometrika, Springer, vol. 78(4), pages 624-647, October.

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