Empirical Bayes (EB) methods are frequently used on hierarchical linear models in practice. This paper provides an overview of parametric EB methods with special emphasis on their application in data-analytic settings. Eight different models with different levels of complexity are described. Comparisons of performance with other methods are…

Kernel smoothing methods for nonparametric item characteristic curve estimation are reviewed. A simulation with 500 examinees and real data from 3,000 records of the Graduate Record Examination illustrate the rapidity of kernel smoothing. Even when population curves are three-parameter logistic, simulation suggests no loss of efficiency. (SLD)

Operational procedures for the Graduate Record Examinations Validity Study Service are reviewed, with emphasis on the problem of frequent occurrence of negative coefficients in the fitted within-department regressions obtained by the empirical Bayes method of H. I. Braun and D. Jones (1985). Several alterations of the operational procedures are…

This report describes the "Differential Coursework Patterns (DCP) Project," which developed the Cluster Analytic Model (CAM) to look at effects of different patterns of college coursework on the general learned abilities of students as determined by such measures as the Graduate Record Examination (GRE) General Test. The model looks for…

Convergent validity of expert-systems scores for 4 complex constructed-response mathematical formats was assessed for 249 examinees from the Graduate Record Examinations (GRE) General Test in June 1989. The hypothesized five-factor model fit the data well, but an alternative with two dimensions (GRE-quantitative and constructed-response)…

This exploratory study applied two new cognitively sensitive measurement models to constructed-response quantitative data. The models, intended to produce qualitative characteristics of examinee performance, were fitted to algebra word problem solutions produced by 285 examinees taking the Graduate Record Examinations (GRE) General Test. The two…

Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…

The relationships between examinee background characteristics and performance on the Graduate Record Examinations (GRE) General Test were appraised by a structural equation modeling analysis. The initial characteristics of 3,145 examinees (i.e., sex, ethnicity, parental education, geographic region, and age) had modest relationships with their…