Implementation of Marginal Bayesian Estimation with Four-Parameter Beta Prior Distributions.

Zeng, Lingjia

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ598349

Record Type: Journal

Publication Date: 1997

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0146-6216

EISSN: N/A

Available Date: N/A

Implementation of Marginal Bayesian Estimation with Four-Parameter Beta Prior Distributions.

Zeng, Lingjia

Applied Psychological Measurement, v21 n2 p143-56 Jun 1997

Proposes a marginal Bayesian estimation procedure to improve item parameter estimates for the three parameter logistic model. Computer simulation suggests that implementing the marginal Bayesian estimation algorithm with four-parameter beta prior distributions and then updating the priors with empirical means of updated intermediate estimates can improve item parameter estimation. (SLD)

Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Statistical Distributions, Test Items

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A