Two strategies for assessing item bias are discussed: methods comparing item difficulties unconditional on ability and methods comparing probabilities of response conditional on ability. Results suggest that the iterative logit method is an improvement on the noniterative one and is efficient in detecting biased and unbiased items. (Author/DWH)

Two of the standards contained in the third draft of the new Joint Technical Standards for Test Development and Revision are discussed: Standard 3.13, mandating the use of multicultural material and the avoidance of material offensive to any major ethnic, cultural, or gender group; and Standard 3.14, mandating research and subsequent test revision…

This paper presents a promising new item bias detection technique that derives practical appeal from its simplicity and economy, and provides data relating to the method's consistency across samples. The proposed regression on item characteristics (RIC) method is a straightforward and inexpensive approach to the study of item bias, based on…

The stability of selected indices for detecting differential item performance (item bias), from one randomly equivalent sample to another, is addressed. Some recent research has criticized these indices as too unreliable for utility in measuring bias in achievement test items. Using data from a national testing of the ACT Assessment, however, this…

This study evaluated the Bielefeld Developmental Test for Blind Infants and Preschoolers by comparing cognitive performance of blind and sighted children (ages three and four). Results indicated that even this test (with "blind-neutral" items) did not permit a fair comparative assessment, though it did prove suitable for within-group…

The Mantel-Haenszel (MH) procedure attempts to identify and quantify differential item performance (item bias). This paper summarizes the MH statistics, and identifies the parameters they estimate. An equivalent procedure based on the Rasch model is described. The theoretical properties of the two approaches are compared and shown to require the…

The definition of differential item performance (DIP), often referred to as item bias, is discussed. DIP is suggested as a comprehensive term to encompass item bias (item invalidity which is unfair to certain population subgroups) and instructional bias (a valid reflection of group differences in instruction or background). This study investigated…

A new approach to assessing unexpected differential item performance (item bias or item fairness) is introduced and applied to the item responses of different subpopulations of Scholastic Aptitude Test (SAT) takers. The essential features of the standardization approach are described. The primary goal of the standardization approach is to control…

The issues of construct validity, predictive validity, and item content bias on the Wechsler Intelligence Scale for Children-Revised (WISC-R) are examined. The review concludes that most objective data have not supported the issue of bias of the WISC-R when used with children of different ethnic backgrounds. (JDD)

The purpose of this papeer is to provide an empirical analysis of four subtests of the High School and Beyond (HS&B) sophomore test battery. This analysis of item bias uses the 1980 test data of the sophomore cohort. Blacks and whites were matched on the total score of four subtests: Vocabulary, Reading, Mathematics--Part I, and…

The purpose of this research was to recommend an item bias procedure when the number of minority examinees is too small to use preferred three-parameter item response theory (IRT) methods. The chi-square, Angoff delta-plot, and pseudo-IRT indices were compared with both real and simulated data. (Author/DWH)

The Mantel-Haenszel procedure (MH) is a practical, inexpensive, and powerful way to detect test items that function differently in two groups of examinees. MH is a natural outgrowth of previously suggested chi square methods, and it is also related to methods based on item response theory. The study of items that function differently for two…

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…

A technique for detecting item bias that is responsive to attitudinal measurement considerations is a maximum likelihood factor analysis procedure comparing multivariate factor structures across various subpopulations, often referred to as SIFASP. The SIFASP technique allows for factorial model comparisons in the testing of various hypotheses…

"Outlier studies" identify items for which extreme differences in performance by contrasting groups occur; these extreme items are the "outliers" referred to. Review of the studies conducted on tests receiving major use in higher education reveals that though one cannot make a priori classifications of outliers with confidence,…