Along with the expansion of education and laying the foundations of self-sufficiency for all members of society, the visually impaired students continued their education with other students in various fields of higher education. In this process, the limitations caused by visual impairment and the limitations originating from the shortcomings of…

Spatial ability has long been regarded as important in STEM, and mental rotation, a subcategory of spatial ability, is widely accepted as the cognitive ability with the largest gender difference in favor of men. Multiple meta-analyses of various tests of spatial ability have found large gender differences in outcomes of the mental rotation test…

Learning can be made more efficient when learners generate the to-be-learned text contents instead of passively receiving them. A multi-level meta-analysis was conducted to provide an overall estimate of the text generation effect's magnitude and to identify theoretically and practically relevant moderators. Overall, generation interventions…

This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…

This research aims to prove the influence of teacher efficacy on learning quality with quantitative meta-analysis. The eligibility criteria in this study include: (a) The publication can be searched in Google Scholar, ERIC, DOAJ, Research Gate, and or ScienceDirect; (b) The publication is indexed in Scopus, WoS, SINTA (a portal indexing journal…

Performance on lab assessments of executive functions predicts academic achievement and other positive life outcomes. A primary goal of research on executive functions has been to design interventions that improve outcomes like academic achievement by improving executive functions. These interventions typically involve extensive practice on…

Meta-analyses and structured reviews provide a synthesis of the results of multiple studies, thus offering unique contributions to informing practice and advancing science in the field of school psychology. High-quality meta-analyses and structured reviews include a review and summary of the extant studies and highlight clear directions for future…

Network meta-analysis has been an essential methodology of systematic reviews for comparative effectiveness research. The restricted maximum likelihood (REML) method is one of the current standard inference methods for multivariate, contrast-based meta-analysis models, but recent studies have revealed the resultant confidence intervals of average…

For estimation of heterogeneity variance T[superscript 2] in meta-analysis of log-odds-ratio, we derive new mean- and median-unbiased point estimators and new interval estimators based on a generalized Q statistic, Q[subscript F], in which the weights depend on only the studies' effective sample sizes. We compare them with familiar estimators…

Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers should consider the power of their planned IPDMA conditional on the studies promising their IPD and their characteristics. Such power estimates help inform whether the IPDMA project is worth the time and funding investment, before IPD are collected. Here,…

The present contribution reports a systematic review of the literature that analyzed the relationships between teachers' subjective well-being (SWB) and student school experience (i.e., academic performance, academic engagement, student well-being, and student reports of teacher-student interactions). We categorized teachers' well-being into…

Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we…

The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…

Second language (L2) listening comprehension is a function of many variables. We focused on metacognitive awareness, which we measured using the Metacognitive Awareness Listening Questionnaire (MALQ; Vandergrift et al., 2006), and meta-analyzed (a) the factor structure of the MALQ and (b) the relationship between metacognitive awareness and L2…

Unplugged activities as a low-cost solution to foster computational thinking (CT) skills seem to be a trend in recent years. However, current evidence of the effectiveness of unplugged activities in promoting students' CT skills has been inconsistent. To understand the potential of unplugged activities on computational thinking skills, a…