ERIC Number: ED174685
Record Type: Non-Journal
Publication Date: 1979-Apr
Pages: 21
Abstractor: N/A
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
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)
Descriptors: Difficulty Level, Identification, Item Analysis, Mathematical Models, Research Reports, Simulation, Test Bias, Test Items
Publication Type: Speeches/Meeting Papers; 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
