Scores from noncognitive measures are increasingly valued for their utility in helping to inform postsecondary admissions decisions. However, their use has presented challenges because of faking, response biases, or subjectivity, which standardized third-party evaluations (TPEs) can help minimize. Analysts and researchers using TPEs, however, need…

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].

Normative data were obtained on the performance of first-year graduate students on the Aptitude Test and Advanced Tests of the Graduate Record Examinations. The population consisted of students enrolled as full-time graduate students for the first time in the fall of 1964 in a college or university belonging to the Council of Graduate Schools…

Heckman's correction for regression in selected samples for predictive validity studies was applied to a large data file on 7,984 law school applicants. Data included ethnic group, sex, socioeconomic status, undergraduate degree, school, scores on the Law School Admission Test (LSAT), writing ability, undergraduate grade point average, and age.…

This study compares the contribution to measurement accuracy of the verbal score of each of four verbal item types included in the Graduate Record Examinations (GRE) General Test. Comparisons are based on item response theory, a methodology that allows the researcher to look at the accuracy of individual points on the score scale. This methodology…