Differential Item Functioning: A Mixture Distribution Conceptualization.

De Ayala, Ralph J.; Kim, Seock-Ho; Stapleton, Laura M.; Dayton, C. Mitchell

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Peer reviewed

ERIC Number: EJ676848

Record Type: Journal

Publication Date: 2002

Pages: N/A

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ISSN: ISSN-1530-5058

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Differential Item Functioning: A Mixture Distribution Conceptualization.

De Ayala, Ralph J.; Kim, Seock-Ho; Stapleton, Laura M.; Dayton, C. Mitchell

International Journal of Testing, v2 n3&4 p243-76 2002

Conducted a Monte Carlo study to compare various approaches to detecting differential item functioning (DIF) under a conceptualization of DIF that recognizes that observed data are a mixture of data from multiple latent populations or classes. Demonstrated the usefulness of the approach. (SLD)

Descriptors: Data Analysis, Item Bias, Monte Carlo Methods, Simulation

Publication Type: Journal Articles; Reports - Research

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