Introduction: Concerns about the risk of bias (RoB) of Meta-analysis (MAs) have grown in parallel with the exponential increase in the number of publications in science. However, this has not been properly assessed in Education. The aims were to evaluate the RoB of MAs in Education and to identify potential predictors of a lower RoB. Methods:…

Background: Systematic reviews and meta-analyses of interventions can provide critical evidence for educators and policymakers by providing insights into the effectiveness of related interventions. The quality of included studies builds the foundation for a high-quality review, while bias in the included studies increases the risks of unreliable…

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…

Meta-analyses are used to make educational decisions in policy and practice. Publication bias refers to the extent to which published literature is more likely to have statistically significant results and larger sample sizes than studies that do not make it through the publication process. The purpose of the present study is to estimate the…

To facilitate a more definitive understanding of the usefulness of formative assessment, this meta-analysis examined the impact of formative assessment on student academic achievement in the K-12 classroom. The study analyzed 258 effect sizes from 118 primary studies published around the world. By applying a broad lens for defining and…

This study examines meta-analysis studies published in the field of educational sciences from 2010-2019, in journals indexed within the scope of the TÜBITAK ULAKBIM TR Directory. Of the 163 studies scanned, 26 meta-analysis studies that meet the inclusion criteria constitute the sample of this content analysis study. Within this research, a…

The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

Baeysian Network Meta-Analysis represents a rather unique challenge in assessing the quality of included studies. Prior efforts to synthesize computer based scaffolding are in need of a closer examination of research quality. This study examines two quality metrics for meta-analysis, study design, and risk of bias (Higgins et al., 2011). Lower…

Practitioners and policymakers rely on meta-analyses to inform decision making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…

Practitioners and policymakers rely on meta-analyses to inform decision-making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…

Recently Kim (2016) published a meta-analysis on the effects of enrichment programs for gifted students. She found that these programs produced substantial effects for academic achievement (g = 0.96) and socioemotional outcomes (g = 0.55). However, given current theory and empirical research these estimates of the benefits of enrichment programs…

Publication bias is a term that typically refers to the well-known tendency for studies lacking statistically significant results to be less likely to be published in peer-reviewed journals. This happens because authors are less likely to submit, while editors and reviewers are less likely to accept for publication, papers that lack statistically…

This article has two interrelated purposes. The first is to explain how various forms of bias, if introduced during any stage of a meta-analysis, can provide the consumer with a misimpression of the state of a research literature. Five of the most important bias-producing aspects of a meta-analysis are presented and discussed. Second, armed with…

This article offers three contributions for conducting meta-analytic reviews in education research. First, we review publication bias and the challenges it presents for meta-analytic researchers. Second, we review the most recent and optimal techniques for evaluating the presence and influence of publication bias in meta-analyses. We then…

Outcome-reporting bias occurs when primary studies do not include information about all outcomes measured in a study. When studies omit findings on important measures, efforts to synthesize the research using systematic review techniques will be biased and interpretations of individual studies will be incomplete. Outcome-reporting bias has been…