A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…

The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…

The regression-based discrepancy definition of learning disabilities has been suggested by Rutter and Yule as an improvement of the well-known and much criticized achievement-intelligence discrepancy definition, whereby the examinee's predicted reading attainment is substituted for the intelligence score in the discrepancy expression. Even though…

The purpose of this review was to update previous reviews on factors related to students' responsiveness to early literacy intervention. The 14 studies in this synthesis used experimental designs, provided small-group or one-on-one reading interventions, and analyzed factors related to responsiveness to those interventions. Participants were…

Objective: Elucidation of clinically relevant subtypes has been proposed as a means of advancing treatment research, but classifying anorexia nervosa (AN) patients into restricting and binge-eating/purging types has demonstrated limited predictive validity. This study aimed to evaluate whether an approach to classifying eating disorder patients on…

There is much debate on the merits and pitfalls of standardized tests for college admission, with questions regarding the format (multiple-choice versus constructed response), cognitive complexity, and content of these assessments (achievement versus aptitude) at the forefront of the discussion. This study addressed these questions by…

The conversion model of formal reasoning was examined for its ability to predict the decisions made by college students when solving concrete and abstract syllogisms. Results supported the model's contentions that reasoner's decisions reflect natural language processes in the encoding of syllogistic premises, and follow rationally from…

On the basis of a study involving 40 first-grade students, compares Pascual-Leone's and Keating and Bobbitt's developmental theories of information processing by contrasting their predictions about a classification task. Results falsified Keating and Bobbitt's model. Predictions from Pascual-Leone's theory were almost wholly confirmed. (RH)

Describes a criterion group classification scheme commonly used in conjunction with discriminant function analysis and suggests that clinicians consider membership probabilities for each criterion group of interest. Illustrates this approach using data from a study in which discriminant analysis was used to identify characteristics of problem…