An Empirical Study of the Effects of Small Datasets and Varying Prior Variances on Item Parameter Estimation in BILOG.

Harwell, Michael R.; Janosky, Janine E.

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Peer reviewed

ERIC Number: EJ443847

Record Type: Journal

Publication Date: 1991

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ISSN: ISSN-0146-6216

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An Empirical Study of the Effects of Small Datasets and Varying Prior Variances on Item Parameter Estimation in BILOG.

Harwell, Michael R.; Janosky, Janine E.

Applied Psychological Measurement, v15 n3 p279-91 Sep 1991

Investigates the BILOG computer program's ability to recover known item parameters for different numbers of items, examinees, and variances of the prior distributions of discrimination parameters for the two-parameter logistic item-response theory model. For samples of at least 250 examinees and 15 items, simulation results support using BILOG. (SLD)

Descriptors: Bayesian Statistics, Computer Simulation, Estimation (Mathematics), Item Response Theory, Mathematical Models, Sample Size, Statistical Distributions

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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