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Item Response Theory with Estimation of the Latent Population Distribution Using Spline-Based Densities

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  • Carol Woods

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  • David Thissen
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11336-004-1175-8
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 71 (2006)
    Issue (Month): 2 (June)
    Pages: 281-301

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    Handle: RePEc:spr:psycho:v:71:y:2006:i:2:p:281-301

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    Web page: http://www.springerlink.com/link.asp?id=112911

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    Related research

    Keywords: item response theory; marginal maximum likelihood; latent variable; population distribution; density estimation; splines;

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    Cited by:
    1. Ernesto San Martín & Jean-Marie Rolin & Luis Castro, 2013. "Identification of the 1PL Model with Guessing Parameter: Parametric and Semi-parametric Results," Psychometrika, Springer, vol. 78(2), pages 341-379, April.
    2. Li Cai, 2010. "A Two-Tier Full-Information Item Factor Analysis Model with Applications," Psychometrika, Springer, vol. 75(4), pages 581-612, December.

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