Major problems with the investigation of differential item functioning (DIF, item bias) are inexplicability and unreproducibility. Merely relying on statistical indicators to identify DIF leaves the analyst at the mercy of idiosyncratic samples of sub-groups. Experts, on the other hand, can discover something biased in every test item. Different experts can even assert that items are biased in different directions!
A combination of statistical, substantive and graphical techniques solves this problem. The Figure illustrates DIF in an "activities of daily living" (ADL) instrument. Looking at an single item, such as "Small-scale Shopping", we could come up with reasons why it is biased against both men and women! But plot all the item difficulties for men against those for women, and the general pattern is clear. Men find it harder to do chores around the house, "Washing", "Cleaning", "Cooking". Women find gross motor activities harder, "Locomotion Outdoors", "Small-scale shopping", "Large-scale shopping". Neutral items are "Simple meal" and "Public transport". Since the bias pattern indicated statistically has a clear substantive meaning that surmounts individual items, we can report the DIF as explicable and likely to be reproduced in continuing use of the instrument.
Grimby G., Andrén E., Daving Y., Wright B.D. (1998) Dependence and perceived difficulty in daily activities in stroke survivors. Stroke 29, 1843-1849.
Useful reporting of DIF.Grimby G. Rasch Measurement Transactions, 1998, 12:3 p. 651.
Please help with Standard Dataset 4: Andrich Rating Scale Model
|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
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