NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
ERIC Number: EJ580841
Record Type: CIJE
Publication Date: 1999
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISSN: ISSN-1090-655X
Distractors--Can They Be Biased Too?
Alagumalai, Sivakumar; Keeves, John P.
Journal of Outcome Measurement, v3 n1 p89-102 1999
How distractors in a test item function differentially is discussed. Also discussed are methods to identify distractor bias, including the Pearson chi square, likelihood-ratio chi square, and the Neyman weighted-least squares chi square tests. Problems from a physics test illustrate possible causes of distractor bias. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A