A process is described for multiple comparisons when covariates are involved in the analysis. The method can be accomplished with considerable ease whenever pairwise comparisons are involved. More complex contrasts require the use of full and restricted models of variance. (CTM)

A variety of algorithms for analyzing covariance structures are considered. Additionally, two methods of estimation, maximum likelihood, and weighted least squares are considered. Comparisons are made between these algorithms and factor analysis. (Author/JKS)

The purpose of this study was to develop the Johnson-Neyman Procedure (JN-Procedure) appropriate to multiple groups and covariables, and demonstrate its use in the analysis of group differences. A sequence of significance tests which makes it possible to identify the most parsimonious analysis of group differences appropriate to a given set of…

Two questions are investigated here: What should the unit of analysis be in investigations of educational effects and on what basis should the units be chosen Under what conditions can relationships among measurements on individuals be estimated from the relationships among measurements on aggregates of individuals? Models using standard analysis…

This study was designed both to determine if patrons are able to discern differences in library performance and to investigate relationships between patron evaluation and use of public libraries. Highlights include study procedures, instrumentation, data collection, results of data analyses, and interpretation of results. Eighteen references are…

This study examined the differences between actual and predicted school achievement on a grade 5 standardized reading posttest. The primary objective was to identify which schools are performing above expectation on a posttest by examining multiple regression residuals and, concurrently, which school level variables are associated with that…