Despite the broad appeal of missing data handling approaches that assume a missing at random (MAR) mechanism (e.g., multiple imputation and maximum likelihood estimation), some very common analysis models in the behavioral science literature are known to cause bias-inducing problems for these approaches. Regression models with incomplete…

We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…

Teacher emotional factors influence the classroom environment. The purpose of the study was to examine the association of teacher emotional exhaustion and teacher efficacy with student office discipline referrals (ODRs), in-school suspensions (ISSs), and out-of-school suspensions (OSSs) using multilevel logistic regression models. The sample…

High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, while test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We find…

The purpose of this study was to document within-year fidelity growth during installation and initial implementation of School-Wide Positive Behavioral Interventions and Supports (SWPBIS). Participants included school teams from schools throughout the United States that were in years one to four of SWPBIS implementation and routinely evaluated…

The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…

There is a dearth of research on Tier 1 instruction designed to improve the mathematics achievement of English learners. This study examined the impact of a core kindergarten mathematics curriculum on the mathematics achievement of Spanish-speaking English learners (SS-ELs). Secondary aims tested for differential response to the curriculum among…

We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…

Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…

We had 3 aims in the present study: (a) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum-based measurement [CBM] writing scoring), (b) to investigate unique language and cognitive predictors of the identified dimensions, and (c) to examine gender gap in the…

Multilevel modeling techniques were used with a sample of 643 students enrolled in 37 secondary school classrooms to predict future student achievement (controlling for baseline achievement) from observed teacher interactions with students in the classroom, coded using the Classroom Assessment Scoring System--Secondary. After accounting for prior…