School connectedness is an important factor in the lives of youth and are a leverage point for optimizing youth's social, emotional, and physical health. This study presents a meta-analysis examining the relationship between school connectedness and four health domains that are prevalent in adolescence, have implications for adult health, and…

The Professional Quality of Life Scale (ProQOL) has an extensive history of use that often relies on inductions of reliability from precedent literature. We completed a systematic review of the literature and extracted sample-specific reliability estimates for ProQOL subscale scores. Random effects meta-analytic modeling was implemented to…

This study aimed to examine the efficacy of school-based e-cigarette preventive interventions via a systematic review and meta-analysis. We searched Medline, Embase, PsycINFO, Scopus, CINAHL, Cochrane, and clinical trial registries for studies published between January 2000 and June 2023 using keywords for e-cigarettes, adolescents, and school. Of…

In recent years, Third Language Acquisition (TLA) in Cross-Linguistic Influence (CLI) research has been debated regarding background languages' impact on learning a target language. While Second Language Acquisition (SLA) research often emphasizes the primary influence of the first language (L1) on the target language, it does not discount the…

Research has consistently shown that individuals with Autism Spectrum Disorder (ASD) exhibit Empathy deficits. The aim of this study was to systematically review and meta-analyze the research conducted in the domain of cognitive and affective Empathy in Autism. The author also attempted to see the influence of moderators, such as age, culture, and…

Integrated assessments are often used to measure English language readiness for university. As language assessment contexts are impacted by variables beyond the classroom, and technologised learners are increasingly striving to achieve "differentiated learning goals" (Peng et al., 2020, p. 88), the challenge is to design assessments that…

This meta-analysis synthesized 35 English studies (130 effect sizes, N = 1,981) that employed online tasks to investigate the processing of multiword sequences (MWSs). We examined (a) to what extent MWSs enjoy a processing advantage over novel word combinations; (b) how such a processing advantage is moderated by statistical regularities (i.e.,…

Introduction: The What Works Clearinghouse (WWC) reviews rigorous research on educational interventions with a goal of identifying "what works" and making that information accessible to educators and policymakers. The WWC has historically prioritized internal validity over external validity in rating the quality of research. One critique…

Why we need better reports of teacher professional development interventions for finding out what works where: Worldwide, billions of dollars are invested yearly in the professional development of in-service teachers ($14 billion in the USA alone, as of 2014; Bill & Melinda Gates Foundation, 2014). This makes the question of what effects TPD…

This dissertation examined how higher education impacts economic outcomes, focusing on variables like age, sex, and socioeconomic status using meta-analysis. It acknowledged higher education's macro-level benefits in economic growth and addresses individual-level barriers to access. The study aimed to understand the nuanced relationships between…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Implementation planning is a consultative educator support strategy with preliminary evidence of effectiveness from single-case design research. This meta-analysis investigates the impacts of implementation planning on educator implementation and student outcomes and explores moderators of these relationships. Principles of open science and…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Understanding the magnitudes represented by numerals is a core component of early mathematical development and is often assessed by accuracy in situating numerals and fractions on a number line. Performance on these measures is consistently related to performance in other mathematics domains, but the strength of these relations may be…

This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…