This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

International student admissions in universities can be facilitated by multivariate statistical procedures. On the basis of existing data on student characteristics, predictions can be made regarding performance of applicants. These predictions consider personal variables, knowledge of English, and various indicators of academic performance.…

A new model is developed that takes into consideration the relationship of occupational mobility to relevant factors such as education, discrimination, market fluctuation, and aspirations. (IS)

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)