Two-Group Classification in Latent Trait Theory: Scores with Monotone Likelihood Ratio.

Grayson, D. A.

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ384799

Record Type: Journal

Publication Date: 1988

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

Two-Group Classification in Latent Trait Theory: Scores with Monotone Likelihood Ratio.

Grayson, D. A.

Psychometrika, v53 n3 p383-92 Sep 1988

Two-group classification is discussed when a unidimensional latent trait "theta" is appropriate for explaining data. If data have a monotone likelihood ratio, then optimal allocation rules can be based on its magnitude when allocation must be made to one of the two groups related to the unidimensional latent trait. (SLD)

Descriptors: Equations (Mathematics), Latent Trait Theory, Mathematical Models, Scoring, 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