ERIC Number: ED174685
Record Type: RIE
Publication Date: 1979-Apr
Reference Count: 0
Item Bias Identification: A Comparison of Two Approaches.
Groome, Mary Lynn; Groome, William R.
Angoff's method for identifying possible biased test items was applied to four computer-generated hypothetical tests, two of which contained no biased items and two of which contained a few biased items. The tests were generated to match specifications of a latent trait model. Angoff's method compared item difficulty estimates for two different groups, using a normal transformation of percent passing in each of the two groups for the difficulty statistics. The criteria for bias used in this study correctly identified 10 out of 21 supposedly biased items. (CTM)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers: Angoff Method; Birnbaum Models
Note: Paper presented at the Annual Meeting of the National Council on Measurement in Education (San Francisco, California, April 9-11, 1979); Tables marginally legible