Meta-analysis of diagnostic test accuracy (DTA) is a powerful statistical method for synthesizing and evaluating the diagnostic capacity of medical tests and has been extensively used by clinical physicians and healthcare decision-makers. However, publication bias (PB) threatens the validity of meta-analysis of DTA. Some statistical methods have…

Biobehavioral frameworks of attachment posit that mother-child dyads engage in physiological synchrony that is uniquely formative for children's neurobiological, social, and emotional development. Much of the work on mother-child physiological synchrony has focused on respiratory sinus arrhythmia (RSA). However, the strength of the existing…

The Peto odds ratio is a well-known effect measure in meta-analysis of binary outcomes. For pairwise comparisons, the Peto odds ratio estimator can be severely biased in the situation of unbalanced sample sizes in the two treatment groups or large treatment effects. In this publication, we evaluate Peto odds ratio estimators in the setting of…

Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for…

We meta-analytically examined correlations between task-based and self-report thought control measures as well as potential moderators. Results of a frequentist meta-analysis indicate that the two measures do not overlap, r = 0.07, 95% CI [-0.01;0.15] (k = 20; N = 1194); subgroup analyses for different self-report measures r = 0.12; 95% CI…

Multiple baseline (MB) designs are becoming more prevalent in educational and behavioral research, and as they do, there is growing interest in combining effect size estimates across studies. To further refine the meta-analytic methods of estimating the effect, this study developed and compared eight alternative methods of estimating intervention…

Recent, high-profile, large-scale, preregistered failures to replicate uncover that many highly-regarded experiments are "false positives"; that is, statistically significant results of underlying null effects. Large surveys of research reveal that statistical power is often low and inadequate. When the research record includes selective…

The purpose of this study was to combine the results of the experimental studies conducted between the years of 2000-2018 examining the effect of game-based learning method on the academic achievement of students through a meta-analysis. In this study addressing the effect of game-based learning method on the academic achievement of students,…

The replication crisis in the social and psychological sciences is said to be due in part to publication bias and the resulting file drawer problem. Meta-analysis is often advocated as a means of resolving this crisis but is prone to the same publication bias and file drawer effects. A study of 23 meta-analyses examined the consequences of…

The distribution of the standardized mean difference is well understood. However, in many situations, researchers need to estimate an effect size to represent the relationship between a continuous outcome and a dichotomous grouping variable, adjusting for the effect of a covariate (or a set of covariates). Typically, this adjustment takes place…

Test preparation has garnered considerable attention in second language (L2) education due to the significant implications that successful performance on a language test may have for academic advancement, future career opportunities, and immigration prospects. Meanwhile, an overemphasis on test preparation has been criticized for encouraging the…

Purpose: Vocabulary, grammar, and discourse skills represent distinct dimensions of language ability in young children. Research suggests that individuals with hearing loss often have difficulties with language skills as compared to their hearing counterparts. The aim of this systematic review and meta-analysis is to analyze the effectiveness of…

Meta-analytic studies of second language (L2) learning typically employ a classic approach to meta-analysis. Although the classic approach can clarify findings, a multivariate, multilevel meta-analysis (3M) approach increases transparency by accounting for (a) dependencies in the evidence presented by primary studies, (b) methodological…

Aim/Purpose: Flipped learning, in which students engage with instructional content before class and participate in active learning during class time, has emerged as an innovative teaching approach. While previous research has explored various aspects of flipped learning, its impact on student self-efficacy across different contexts remains…

This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including…