Discrete trial training is a popular teaching method for individuals with autism, but is not easily implemented with fidelity due to its complexity. This is the first meta-analysis of single-case experimental design studies to quantify the impact of behavioral skills training on individuals' ability to implement discrete trials with fidelity.…

Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…

The current study provided voice to nominated exemplar classroom teachers in identifying malleable, discrete aspects of the classroom environment, teacher behavior and practices that define culturally responsive instruction. Interview data from a sample of 13 teachers was analyzed using a consensual qualitative research approach. Results provided…

Early Childhood Special Education teachers select practices to use to promote social communication development for their students with autism spectrum disorder. Understanding what evidence-based practices teachers select and why can inform the development of dissemination and implementation supports at the critical Adoption-Decision stage of…

Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…

Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students' learning behaviors. In this study, we explore a latent variable modeling approach for tracking learning flow during computer-interactive artificial tutoring. The study considers three models that give discrete profiles of a latent…

In psychology and the behavioral sciences generally, the use of the hierarchical linear model (HLM) and its extensions for discrete outcomes are popular methods for modeling clustered data. HLM and its discrete outcome extensions, however, are certainly not the only methods available to model clustered data. Although other methods exist and are…

Developing and supporting understanding of the meaning of multiplication and multiplicative relationships in students with mathematics learning disabilities requires carefully designed instruction that emphasizes strategic representation use. This article discusses three ways in which teachers can incorporate multiple representations within…

Researchers often question the validity of multi-informant assessments among adolescents with child welfare involvement. Yet, within other clinical populations, prior research finds that multi-informant reports have a discernable structure characterized by discrete patterns of agreement and disagreement. This structure "tracks"…

Schools are the primary setting in which autistic youth receive intervention, yet fidelity to implementation of evidence-based practices (EBPs) for autism in schools varies. Fidelity is an important metric to determine whether educators are delivering EBPs as designed, and there are many different factors that predict fidelity to EBP…

In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…

Support for higher education is a known and well-documented venue for financial transfers within families, but practices of family support beyond college are less understood. Drawing on interviews with recent master's degrees recipients who have student debt, I find key class differences in the process and forms of family financial assistance for…

Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…

Background & Purpose: Primary prevention of COVID-19 has focused on encouraging compliance with specific behaviors that restrict contagion. This investigation sought to characterize engagement in these behaviors in U.S. adults early during the pandemic and to build explanatory models of the psychological processes that drive them. Methods: US…

Revising is an essential writing process yet automated writing evaluation systems tend to give feedback on discrete essay drafts rather than changes across drafts. We explore the feasibility of automated revision detection and its potential to guide feedback. Relationships between revising behaviors and linguistic features of students' essays are…