ERIC Number: ED247299
Record Type: RIE
Publication Date: 1984-Apr
Reference Count: 0
Evaluation of Log Linear Models for Detection of Item Bias: A Comparison Across Samples.
The purpose of this study was to evaluate the use of log-linear models in detecting test item bias. The evaluation of the log-linear approach in this regard will focussed on the following: (1) the stability of the procedure across replications--the effect of sampling error across random samples of ethnic groups; (2) the amount of artifactual bias--analyzed by comparing results for different ethnic groups with the results from two random equivalent white groups and with the results from two white groups which differ in measurability; and (3) the interpretability of the items identified as deviant. Two sets of items were selected for this study: one from the American College Testing program and one from a high school minimum competency test. Although the possible effect of sample size needs to be examined further, the results suggest that methods based on log-linear models could reasonably be used to examine sets of items for potential bias. (BW)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers: Log Linear Models
Note: Paper presented at the Annual Meeting of the National Council on Measurement in Education (New Orleans, LA, April 24-26, 1984).