Item Bias Detection Using Loglinear IRT.

Kelderman, Henk

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Peer reviewed

ERIC Number: EJ404596

Record Type: Journal

Publication Date: 1989

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Item Bias Detection Using Loglinear IRT.

Kelderman, Henk

Psychometrika, v54 n4 p681-97 Dec 1989

A method is proposed for the detection of item bias with respect to observed or unobserved subgroups, using a loglinear item response theory model assuming a Rasch model for ability and difficulty. A simulation study was performed with 200 sets of data to check the robustness of the method. (SLD)

Descriptors: Equations (Mathematics), Foreign Countries, Higher Education, Item Response Theory, Mathematical Models, Simulation, Statistical Bias, Test Bias, Test Items, Undergraduate Students

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

Identifiers - Location: Netherlands

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