Purpose: This paper aims to investigate the e-waste aspect of sustainability in education, with a specific interest in engineering education. Specifically, it focuses on recycling through reclaiming electronic components from e-waste and reusing them in repairs or in the design and construction of new devices. Design/methodology/approach: A…

This meta-analytical review aims to investigate the overall effect of comprehensive interventions on teacher well-being and the factors that moderate the effect by synthesizing empirical evidence. A total number of 176 effect sizes from 44 studies were included in this study. The results reported the mean effect size of intervention on teacher…

The trace plot is seldom used in meta-analysis, yet it is a very informative plot. In this article, we define and illustrate what the trace plot is, and discuss why it is important. The Bayesian version of the plot combines the posterior density of [tau], the between-study standard deviation, and the shrunken estimates of the study effects as a…

Background/Context: Over the past twenty plus years, the What Works Clearinghouse (WWC) has reviewed over 1,700 studies, cataloging effect sizes for 189 interventions. Some 56% of these interventions include results from multiple, independent studies; on average, these include results of [approximately]3 studies, though some include as many as 32…

The higher education (HE) sector has witnessed escalating competition, resulting in an increase in scholarly interest. Despite this, a comprehensive review of the existing literature in this domain remains absent. Thus, based on Tranfield et al.'s (2003) methodology, we systematically review 80 articles published between 2012 and 2022, extracted…

Word boxes (also known as sound boxes or Elkonin boxes) is a widely used intervention targeting basic literacy skills. The word/sound box intervention has been implemented across grades, settings, and student ability levels, but to date there has not been a quantitative analysis of the effects of the word/sound box intervention. The purpose of the…

We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCCs) are conducted each year widely across economics, business, education, psychology, and medical research. To address these biases, we offer a new weighted average, UWLS[subscript +3]. UWLS[subscript…

Conventional random-effects models in meta-analysis rely on large sample approximations instead of exact small sample results. While random-effects methods produce efficient estimates and confidence intervals for the summary effect have correct coverage when the number of studies is sufficiently large, we demonstrate that conventional methods…

Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their results to assess a treatment's effect for a population of interest. We describe recently-introduced causally…

Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…

Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…

This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…

Changing attitudes and perceptions allied to the values of diversity and inclusive education is a recognised challenge in ITE (Initial Teacher Education). Using meta-ethnographic methods, this article aims to describe how preservice teachers' attitudes or perceptions towards inclusive education can be developed during ITE. The results show the…

Individual participant data (IPD) meta-analyses of randomised trials are considered a reliable way to assess participant-level treatment effect modifiers but may not make the best use of the available data. Traditionally, effect modifiers are explored one covariate at a time, which gives rise to the possibility that evidence of treatment-covariate…

Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as publication bias. These biases often operate nonadditively: publication bias that favors significant, positive results selects indirectly for studies with more internal bias. We propose sensitivity analyses that address two…