Three traditional methods of selection of variables to be included in a "best" regression equation are compared to a method designed to maximize weight validity. Implications for constructing regression equations for prediction are discussed, with consideration of the weight validity maximization method recommended in crucial situations.…

The authors state that multiple regression is a powerful method of statistical analysis, provides a strength of relationship index, and should replace analysis of variance (ANOVA) in educational research. They also discuss the coding of categorical variables and available computer programs for multiple regression. (Author/MH)

Given the increased data-based capabilities of educational institutions, educational researchers should have more opportunities to use sequential designs. This paper illustrates how to analyze educational data from a cohort-sequential design. University data pertaining to grade inflation were analyzed using a variant of multiple regression.…