A Comparison of Pseudo-Bayesian and Joint Maximum Likelihood Procedures for Estimating Item Parameters in the Three-Parameter IRT Model.

Skaggs, Gary; Stevenson, Jose

Notes FAQ Contact Us

Peer reviewed

ERIC Number: EJ407919

Record Type: Journal

Publication Date: 1989

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

A Comparison of Pseudo-Bayesian and Joint Maximum Likelihood Procedures for Estimating Item Parameters in the Three-Parameter IRT Model.

Skaggs, Gary; Stevenson, Jose

Applied Psychological Measurement, v13 n4 p391-402 Dec 1989

Pseudo-Bayesian and joint maximum likelihood procedures were compared for their ability to estimate item parameters for item response theory's (IRT's) three-parameter logistic model. Item responses were generated for sample sizes of 2,000 and 500; test lengths of 35 and 15; and examinees of high, medium, and low ability. (TJH)

Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Estimation (Mathematics), Item Response Theory, Maximum Likelihood Statistics

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A