Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…

The purpose of this study was to compare the relative classificatory ability of the Linear Discriminant Function (LDF) and the Bayesian Taxonomic Procedure (BTP) when these techniques are applied to multivariate normal and nonnormal data with differing degrees of overlap in the distributions of the predictor variables. (Editor)

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.…

Explanations are offered for observed discrepant and null findings in the area of predictive information about teacher effectiveness. It is argued that if tautologies are to be avoided, only product variables are appropriate criteria of success. Some recommendations regarding future research are offered. (Author/GSK)

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)

In order to explore whether or not the same theoretical model of schooling is appropriate in both private and public schools, the model from the High School and Beyond study was examined. Results indicated that the model was equally applicable in both schools. Differences between schools were discussed. (Author/GDC)