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 illustrated using test data. These data were collected through the Validity Study Service of the Graduate Record Examinations Board for 1980 through 1983. They comprise the records of over 2,000 native English-speaking students in 99 different departments. Applications to validity generalization and survival analysis are also discussed. (Contains 4 tables, 7 figures, and 51 references.) (Author/SLD)