Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…

This study leveraged the knowledge and experiences of youth with disabilities, their families, and transition stakeholders to model how the frequency of family engagement activities and services and employment preparation activities and services predict the frequency of youth development activities and services. This information was obtained…

This paper analyzes the dataset collected from students participating in the Boy With A Ball (BWAB) program, a faith-based community outreach group, through the Hemingway Measure of Adult Connectedness©, a questionnaire measuring the social connectedness of adolescents. This paper first approaches the data in the conventional method provided by…

This non-experimental quantitative study utilized linear regression to examine if elementary school counselor and principal relationships predict elementary school counselors' implementation of the American School Counselor Association (ASCA) National Model. The sample (N = 163) included elementary school counselors (n = 108) and principals (n =…

This replication study examines the relationship between school counselor leadership and school counseling program implementation, but with a larger sample and additional measures of leadership. In the original study (Mason, 2008) using Kouzes and Posner's Leadership Practices Inventory (2003), only Model the Way and Enable Others to Act subscales…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…

This quantitative, correlational study aims to determine if a predictive relationship exists between teacher perceptions of Tennessee's teacher evaluation and the linear combination of teacher gender, years of experience, and school-level taught (elementary, middle, high). Although teachers have recognized the current teacher evaluation system,…

The objectives of the research were to (1) design an instructional model based on Connectivism and Constructivism to create innovation in real world experience, (2) assess the model designed--the designed instructional model. The research involved 2 stages: (1) the instructional model design and (2) the instructional model rating. The sample…

Course-based undergraduate research experiences (CUREs) represent an economical and practical way for institutions to equitably offer research experiences to large numbers of students. Although the benefits of CUREs are well documented, most CURE models are not guided by theory and are discipline specific, which limits their application. We used a…

Purpose: The purpose of this research is to investigate sustainable strategies for skills development that is specific to the youth of South Africa. International and South African data are statistically analysed and quantified to provide inputs for the systems dynamics (SD)-based predictive skills model. The skills model simulates the impact of…

Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…

Extensive empirical evidence exists for how Sport Education (SE: Siedentop et al., 2020) can deliver valued student educational outcomes, yet there remains a dearth of knowledge of how in-service teachers implement the model in practice. The purpose of this study was to examine how the stages of occupational socialization predicted teachers'…

The growth of reading and cognitive skills is crucial for children's development. This study examined the utility of incorporating a cognitive framework for reading in intervention design among struggling readers receiving National Institute for Learning Development (NILD) Educational Therapy® over a 3- to 5-year period. Evidence from this…

This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…