Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Diagnostic classification models (DCMs) are psychometric models that can be used to estimate the presence or absence of psychological traits, or proficiency on fine-grained skills. Critical to the use of any psychometric model in practice, including DCMs, is an evaluation of model fit. Traditionally, DCMs have been estimated with maximum…

More than 40 percent of students in California's public schools speak a language other than English at home. In the 2016-17 school year, 21 percent of all students, or more than 1.3 million, were English Learners (ELs). When former English Learners are included, the population of "ever ELs" expands to 38 percent of all K-12 students in…

This article examines the validity of IQ-achievement discrepancy and low-achievement as criteria for the identification of disabilities in Spanish-speaking ELs and the factors that moderate the validity of these approaches as bases for identification. While there has been a long history of examining the validity of different approaches to…

This article describes key findings from contemporary research on screening for early primary grade students in the area of mathematics. Existing studies were used to illustrate the constructs most worth measuring and the diverse strategies that researchers used to study potential measures. The authors discussed the strengths and weaknesses of…