Objective: Brief Self-Control Scale (BSCS) is the most widely used instrument to assess self-control. The purpose of this reliability generalization meta-analysis was to examine the degree to which consistency reliability coefficients for scores on the BSCS generalize across age groups and languages. Method: We included studies using the BSCS and…

This systematic review and meta-analysis examined interventions targeting play skills of children with autism spectrum disorder (ASD) involving typically developing (TD) peers. The objectives of this work are to (a) identify and describe the characteristics and components of interventions aimed at improving play skills in children with ASD and…

Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…

The paradoxical effects of contextual interference (CI) assume that high CI practices hinder performances during the acquisition phase of learning, while providing more permanent enhancement during the retention phase. This meta-analysis evaluates the possible generalizability of the CI phenomenon in physical education (PE) and sports contexts,…

The current review aimed to evaluate the effectiveness of behavior-analytic procedures in increasing face mask-wearing in autistic individuals. This comes following recommended guidance during the COVID-19 pandemic. A systematic review and meta-analysis were completed of peer-reviewed and grey literature. Six databases were searched and seven…

This systematic review addressed the following question: Which are the relations between L1 and/or L2 foundational and upper-level language skills, cognitive skills, high-order cognitive and self-regulation factors and L2-English reading comprehension skills in 11-to-19 year EFL secondary school students with different L1 language profiles?…

The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…

The literature search underpins data collection for all systematic reviews (SRs). The SR reporting guideline PRISMA, and its extensions, aim to facilitate research transparency and reproducibility, and ultimately improve the quality of research, by instructing authors to provide specific research materials and data upon publication of the…

As global communication has become increasingly multicultural, there is an urgent need to understand cultural values as they are represented in textbooks for English language learners (ELLs) as well as to acknowledge these textbooks as cultural artifacts. During the last ten years, a plethora of studies have been carried out to investigate the…

This meta-analysis study aimed to examine the effect of data literacy education, which affects databased decision processes, on data use knowledge and skills of school administrators and teachers. Therefore, theses on data literacy education for school administrators and teachers and relevant studies in peer-reviewed journals were examined through…

Authentic learning is gaining attention due to being perceived as a more engaging and effective way of teaching students. Many schools are incorporating authentic learning into their curricula, and numerous studies have also been conducted investigating the effectiveness of authentic learning in improving student outcomes. Various primary studies…

Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…

We developed "metadta," a flexible, robust, and user-friendly statistical procedure that fuses established and innovative statistical methods for meta-analysis, meta-regression, and network meta-analysis of diagnostic test accuracy studies in Stata. Using data from published meta-analyses, we validate "metadta" by comparing and…

Meta-analyses can be used to comprehensively summarize the state of a given literature base, understand development and relations between constructs, and synthesize intervention effects to identify "what works for whom," all of which can directly inform research, practice, and policy. In this tutorial, we first argue that data reporting…

Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…