Procedures for Extending Item Bias Detection Techniques to Polytomously Scored Items.

Welch, Catherine; Hoover, H. D.

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ466277

Record Type: Journal

Publication Date: 1993

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0895-7347

EISSN: N/A

Available Date: N/A

Procedures for Extending Item Bias Detection Techniques to Polytomously Scored Items.

Welch, Catherine; Hoover, H. D.

Applied Measurement in Education, v6 n1 p1-19 1993

Methodology is suggested for several statistical procedures to detect polytomously scored items that function differently for two subgroups of examinees. The 3 methods are alternative ways of combining the data from 2 x "k" tables. Simulation results demonstrate the superiority of two of the methods, designated HW1 and HW3. (SLD)

Descriptors: Computer Simulation, Effect Size, Equations (Mathematics), Estimation (Mathematics), Item Bias, Mathematical Models, Multiple Choice Tests, Performance Based Assessment, Research Methodology, Scoring

Publication Type: Reports - Evaluative; Journal Articles

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