Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].

In order to remain relevant and useful, testing programs must periodically update their tests to match shifts in student populations and school curricula. One might think that because the publishers are offering a product, the responsibility for updates rests entirely on them. Publishers conduct studies to assure new content is appropriate. But…

This study was designed to describe and analyze (1) the performance of foreign candidates taking the Graduate Management Admission Test (GMAT) or the Graduate Record Examinations (GRE) Aptitude Test in relation to self-reported primary language (English vs. other), and (2) relationships between performance on the respective admissions tests and…

A necessary prerequisite to the operational use of item response theory (IRT) in any testing program is the investigation of the feasibility of such an approach. This report presents the results of such research for the Graduate Management Admission Test (GMAT). Despite the fact that GMAT data appear to violate a basic assumption of the…