A Monte Carlo Comparison of Parametric and Nonparametric Polytomous DIF Detection Methods.

Bolt, Daniel M.

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ654822

Record Type: Journal

Publication Date: 2002

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0895-7347

EISSN: N/A

Available Date: N/A

A Monte Carlo Comparison of Parametric and Nonparametric Polytomous DIF Detection Methods.

Bolt, Daniel M.

Applied Measurement in Education, v15 n2 p113-41 2002

Compared two parametric procedures for detecting differential item functioning (DIF) using the graded response model (GRM), the GRM-likelihood ratio test and the GRM-differential functioning of items and tests, with a nonparametric DIF detection procedure, Poly-SIBTEST. Monte Carlo simulation results show that Poly-SIBTEST showed the least amount of power across all conditions. Discusses implications for DIF detection. (SLD)

Descriptors: Comparative Analysis, Item Bias, Monte Carlo Methods, Nonparametric 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

Author Affiliations: N/A