Background: Among children diagnosed with developmental delays, difficulties in self-regulation are prominent and have been linked to school readiness problems. Objective: The current study sought to examine the impact of the Kids In Transition to School (KITS) school readiness intervention program on self-regulation, with a specific focus on…

The goal of this study was to identify unique profiles of readers in a sample of 8-16-year olds with higher functioning autism spectrum disorders (HFASD) and examine the profiles in relation to ASD symptom severity. Eighty-one students were assessed utilizing a comprehensive reading battery that included basic word reading, language, and…

Hoping to spur dramatic school turnaround, the federal government channeled resources to the country's lowest-performing schools through School Improvement Grants (SIG). However, prior research on SIG effectiveness is limited and focuses primarily on student achievement. This study uses a difference-in-differences strategy to estimate program…

The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across four waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling…

Can student performance on computer-based tests (CBT) and paper-and-pencil tests (PPT) be considered equivalent measures of student knowledge? States and school districts are grappling with this question, and although studies addressing this question are growing, additional research is needed. We report on the performance of students who took…

Energy is a critically important topic in the K-12 science curriculum, with many applications in the earth, physical, and life sciences and in engineering and technology. To meet the challenges associated with teaching energy, new tools and assessment instruments are needed. In this work we describe the development of a three-tier assessment…

Adults adopt the traits of characters in narratives, but little is known about whether children do so. In Study 1, 7- and 10-year-olds (N = 96) heard a 2.5-minute recording about a professor or cheerleader. Reporting higher engagement in the professor narrative related to more time playing with an analytical toy (a Rubik's cube), whereas reporting…

Spatial thinking skills positively relate to Science, Technology, Engineering, and Math (STEM) outcomes, but spatial training is largely absent in elementary school. Elementary school is a time when children develop foundational cognitive skills that will support STEM learning throughout their education. Spatial thinking should be considered a…

A growing number and proportion of students rely on student loans to assist with the costs of postsecondary education. Yet little is known about how first-generation students use federal loans to finance their education. In this article, we examine each of the decisions that culminate in student indebtedness: the decision to apply for aid, whether…

In this article, Andy Frey and colleagues present the Motivational Interviewing Training and Assessment System (MITAS), an evidence-based strategy for counselors to improve student engagement. The article documents the feasibility of the MITAS and the large gains to be made in school counselor competencies through its implementation, providing a…

Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…

Fisher randomization tests for Neyman's null hypothesis of no average treatment effects are considered in a finite population setting associated with completely randomized experiments with more than two treatments. The consequences of using the F statistic to conduct such a test are examined both theoretically and computationally, and it is argued…

Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is unconfounded conditional on the observed covariates. It is often believed that the more covariates we condition on, the more plausible this…

The last 20 years has seen an uptick in research on missing data problems, and most software applications now implement one or more sophisticated missing data handling routines (e.g., multiple imputation or maximum likelihood estimation). Despite their superior statistical properties (e.g., less stringent assumptions, greater accuracy and power),…

In this study, we investigated the degree to which the cognitive processes in which students engage during reading comprehension could be examined through dynamical analyses of their natural language responses to texts. High school students (n = 142) generated typed self-explanations while reading a science text. They then completed a…