A Bayesian Version of Rasch's Multiplicative Poisson Model for the Number of Errors of an Achievement Test.

Jansen, Margo G. H.

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Peer reviewed

ERIC Number: EJ350192

Record Type: Journal

Publication Date: 1986

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A Bayesian Version of Rasch's Multiplicative Poisson Model for the Number of Errors of an Achievement Test.

Jansen, Margo G. H.

Journal of Educational Statistics, v11 n2 p147-60 Sum 1986

In this paper a Bayesian procedure is developed for the simultaneous estimation of the reading ability and difficulty parameters which are assumed to be factors in reading errors by the multiplicative Poisson Model. According to several criteria, the Bayesian estimates are better than comparable maximum likelihood estimates. (Author/JAZ)

Descriptors: Achievement Tests, Bayesian Statistics, Comparative Analysis, Difficulty Level, Estimation (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods, Statistical Studies, Test Theory

Publication Type: Journal Articles; Reports - Research

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Language: English

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