The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…

Higher-order thinking skills (HOT) are expected to be skills needed now and in the future. Many learning strategies are applied to increase HOT. However, how effective is this in improving students' HOT abilities? This study will examine how effective learning is to improve HOT thinking skills. We use meta-analysis research techniques to analyze…

Statistical learning is a key concept in our understanding of language acquisition. Ample work has highlighted its role in numerous linguistic functions--yet statistical learning is not a unitary construct, and its consistency across different language properties remains unclear. In a meta-analysis of auditory-linguistic statistical learning…

This study aims to analyze the effect of e-learning on VET learning, the factors that support the success of e-learning, and the role of e-learning in practical learning performance. This type of research was a quantitative study with a meta-analysis approach. A total of 18 articles on e-learning in VET learning were selected as samples. The 18…

Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…

To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…

When studies use different scales to measure continuous outcomes, standardised mean differences (SMD) are required to meta-analyse the data. However, outcomes are often reported as endpoint or change from baseline scores. Combining corresponding SMDs can be problematic and available guidance advises against this practice. We aimed to examine the…

Meta-analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest. If heterogeneity between the results of the relevant studies is anticipated, then a random-effects model is often preferred for analysis. In this model, a prediction interval for the true effect…

Four decades of research have shown that students' low test-taking effort is a serious threat to the validity of score-based inferences from low-stakes, group-based educational assessments. This meta-analysis sought to identify effective interventions for improving students' test-taking effort in such contexts. Included studies: (1) used a…

As the empirical literature in educational technology continues to grow, meta-analyses are increasingly being used to synthesise research to inform practice. However, not all meta-analyses are equal. To examine their evolution over the past 30 years, this study systematically analysed the quality of 52 meta-analyses (1988-2017) on educational…

Background: As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Websites and clearinghouses such as the "What Works Clearinghouse" (WWC), "Evidence for ESSA," "Blueprints for Healthy Youth Development,"…

School administrators' leadership characteristics are crucial in creating a learning school. Therefore, this study aimed to examine the relationship between transformational leadership characteristics and the learning school using meta-analysis. For this purpose, individual studies suitable for inclusion criteria were determined. In this context,…

Purpose: The purpose of this study is to identify predictors of treatment outcomes in Rapid Syllable Transition Treatment (ReST) for childhood apraxia of speech through an individual participant data meta-analysis. Method: A systematic literature search identified nine ReST studies for inclusion. Individual participant data were obtained, and…

This study adopted a meta-analysis to explore the effectiveness of unplugged activities (UA) and programming exercises (PE) teaching approaches on computational thinking (CT) education. Through a two-stage literature collection and selection process, 29 articles were included in the meta-analysis, 31 independent effect sizes (16 of UA and 15 of…

The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…