Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…

Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…

For successful classification of children with attention deficit-hyperactivity disorder, major issues include (1) the need for explicit studies of identification criteria; (2) the need for systematic sampling strategies; (3) development of hypothetical classifications; and (4) systematic assessment of reliability and validity of hypothetical…