Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…

The study was directed towards the further exploration of the use of attribute ratings as the basis for establishing the job component validity of tests, in particular by using different methods of combining "attribute-based" data with "job analysis" data to form estimates of the aptitude requirements of jobs. The primary focus…

A multivariate analysis of variance, using three factors obtained from a preschool developmental index (Neale Scales) as the dependent variables, and group membership based on subsequent longitudinal reading performance as the independent variables, resulted in a significant multivariate F for a sample of 204 kindergarten children. (Author/SBH)

Arguments which suggest that improved prediction of multiple criteria can be achieved employing pattern scoring of responses, as opposed to conventional methods, are examined. Models for improving prediction of single and multiple criteria were examined. The findings are: (1) simple linear combinations of predictor variables perform as well…