Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

Compares multiple regression analysis and a simplified scale in predicting competitive employment after the provision of vocational rehabilitation services. The two prediction techniques yielded nearly identical results when applied to an independent, cross-validation sample. Discusses practical applications of the simplified procedure to client…

An empirical method called Predicted Error Sum of Squares (PRESS) is advanced and studied. This method is used to examine the cross-validated prediction accuracies of some popular algorithms for weighted predictor variables. The weighting methods that were considered were ordinary least squares, ridge regression, regression on principal…

If an effective school is defined as a school that causes student improvement on a number of important educational outcomes, the problem of identifying effective schools becomes one of establishing legitimate predictions of student performance and comparing those predictions to actual student or school outcomes. In attempting to identify effective…

The number of regression studies being employed in sex discrimination cases is increasing. The need for caution in the case of multiple regression must be emphasized. Statistical concerns in sex discrimination cases are highlighted. (MLW)

Data from the 1986 Current Population Survey (CPS) and a 1987 survey of public and private enterprises in Orangeburg, South Carolina, provide the basis for estimating a salary schedule for lead teachers in Orangeburg School District 5. The underlying rationale for the development of lead teacher positions is described in terms of salary gaps…

Educational research on the factors of student achievement has been limited by its failure to consider the multilevel or hierarchical nature of most data. This study used a nonexperimental regression-based procedure, hierarchical linear modeling (HLM), to empirically develop a predictive model of fifth-grade achievement in reading and mathematics…

Technical considerations in the development of a salary equity model based upon regression analysis are reviewed, and a simplified salary prediction equation is examined. Application and communication of the results of the analysis within the existing operational context of a postsecondary institution are also addressed. The literature 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)