Results from numerous school- and teacher-effectiveness studies suggest that variation between classes is more significant than variation between schools, though evidence often seems contradictory. This article considers why different studies generate different findings, identifies key study design issues, and relates these observations to…

This paper describes an analytical solution to a common problem in aptitude-treatment interaction (ATI). The researcher is often interested in the comparison between treatments for a large set of attributes. If this set is large, the chance of non-orthogonality is correspondingly large. In these circumstances the analysis and interpretation…

The use of the two-stage least squares (2 SLS) procedure for estimating nonrecursive social science models is often impractical when multiple feedback linkages are required. This is because 2 SLS is extremely sensitive to multicollinearity. The standard statistical solution to the multicollinearity problem is a biased, variance reduced procedure…

Studied efficiency differences in Finnish senior secondary schools by Data Envelopment Analysis, using four variant models. Average efficiencies in the most extensive models were 82% to 84%. Considering parents' educational level increased average efficiency to 91%. Tobit analysis showed school size did not affect efficiency. Input and output…

To reduce problems in comparing gains in the rate of students who progress to the next level of education, a nonlinear transformation is recommended. Two such transformations, probits and logits, are presented. Log linear models are recommended for an appropriate statistical test of sampling error. (Author/GDC)

The criterion-oriented problem of test bias and fairness in selection is compared to the construct-oriented problem of comparability of test scores in cross-cultural research. These problems are shown to have important similarities, and their studies may supplement each other. In a formulation of psychometric criteria for the comparability of test…