Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review
By Terri D. Pigott, J. Polanin. Review of Educational Research, 2019
449 citations recorded by the source corpus.
This methodological guidance article discusses the elements of a high-quality meta-analysis that is conducted within the context of a systematic review. Meta-analysis, a set of statistical techniques for synthesizing the results of multiple studies, is used when the guiding research question focuses on a quantitative summary of study results. In this guidance article, we discuss the systematic review methods that support high-quality meta-analyses and outline best practice meta-analysis methods for describing the distribution of effect sizes in a set of eligible studies. We also provide suggestions for transparently reporting the methods and results of meta-analyses to influence practice and policy. Given the increasing use of meta-analysis for important policy decisions, the methods and results of meta-analysis should be both transparent and reproducible.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/de45b739dc5f81b9b506a5c46540815310bed079
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In Statistics and Probability
Citations in the corpus
- Inclusive Education of Students With General Learning Difficulties: A Meta-Analysis (2021, methodology): “Furthermore, we carried out analyses to check for publication bias (cf. Pigott & Polanin, 2020; Polanin et al., 2016).”
- A meta-analysis of the effects of problem-based learning on students' creative thinking in mathematics (2020, methodology): “For this reason, the impact of publication bias must be controlled by examining the research funnel plot as a first step (Pigott & Polanin, 2020).”