An Anova Methodology to Identify Biased Test Items That Takes Instructional Level Into Account

Abstract

The methodology suggested in this paper employs a selection rule for identifying group members that generates groups that have a range of achievement within groups but equal distribution of raw scores between. An ANOVA procedure on arcsin transformed item difficulties, followed by an investigation of strength of association lend practical significance to significant items by groups interaction. A follow-up procedure that identifies items contributing to the items-by-groups interaction is described.