This article describes the results of a simulation study to investigate the impact of missing data on the detection of differential item functioning (DIF). Specifically, it investigates how four methods for dealing with missing data (listwise deletion, zero imputation, two-way imputation, response function imputation) interact with two methods of…

With the increasing globalization of human resources practices, a commensurate increase in demand has occurred for multi-language ("global") personality norms for use in selection and development efforts. The combination of data from multiple translations of a personality assessment into a single norm engenders error from multiple sources. This…

Direct assessments of the accuracy with which raters can use a rating instrument are presented. This study demonstrated how surplus behavioral incidents scaled during the development of Behaviorally Anchored Rating Scales (BARS) can be used effectively in the evaluation of the newly developed scales. Construction of scenarios of hypothetical…

Measurement disturbances, such as guessing, startup, and plodding, often result in an examinee's ability being either over- or under-estimated by the maximum likelihood estimation employed in latent trait psychometric models. Several authors have suggested methods to lessen the impact of unexpected responses on the ability estimation process. This…

Previous studies of test item bias have investigated how different groups of examinees perform differently on a given set of items. These studies imply that examinees should be treated in a certain way because they are of a particular sex or race rather than as individuals in their own right, but it is unrealistic and unfair to assume such an…

This paper addresses problems confronting law school teachers in grading law school exams and assigning letter grades. Using prototypical dialogue and scenarios, the paper examines mathematical and statistical issues that contribute to grading errors. Discussed in relation to real world data and the bar exam are: differential weighting, combining…