Recovery of Marginal Maximum Likelihood Estimates in the Two-Parameter Logistic Response Model: An Evaluation of MULTILOG.

Stone, Clement A.

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Peer reviewed

ERIC Number: EJ450914

Record Type: Journal

Publication Date: 1992

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ISSN: ISSN-0146-6216

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Recovery of Marginal Maximum Likelihood Estimates in the Two-Parameter Logistic Response Model: An Evaluation of MULTILOG.

Stone, Clement A.

Applied Psychological Measurement, v16 n1 p1-16 Mar 1992

Monte Carlo methods are used to evaluate marginal maximum likelihood estimation of item parameters and maximum likelihood estimates of theta in the two-parameter logistic model for varying test lengths, sample sizes, and assumed theta distributions. Results with 100 datasets demonstrate the methods' general precision and stability. Exceptions are discussed. (SLD)

Descriptors: Computer Software Evaluation, Estimation (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods, Reliability, Sample Size, Test Length

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

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Author Affiliations: N/A