A Hands-On Tutorial for Systematic Review and Meta-Analysis With Example Data Set and Codes
Abstract
PURPOSE: Systematic review and meta-analysis are regarded as standard and valuable tools for providing an objective and reproducible synthesis of research findings in the literature. Their increasing popularity has led to heightened expectations for comprehensiveness and rigor in conducting scientific reviews and analyses. The purpose of this tutorial is to provide an overview and guidance on how to address the key elements for conducting a high-quality systematic review with meta-analysis.
METHOD: This tutorial describes practical guidelines to conduct systematic review and meta-analysis for researchers who are interested in learning and applying the method. Drawing on previous meta-analytic reviews of second-language learning as illustrative examples, it discusses the methodological choices and judgment calls in each step of the review and analysis process. As a hands-on tutorial, it uses a published data set concerning the role of talker variability in speech training studies as a running example to elucidate the statistical process and interpret the results of meta-analysis with freely available R software.
RESULTS/CONCLUSIONS: This tutorial provides a walk-through of the methodological choices, controversial issues, and common practices in conducting systematic reviews and meta-analyses. The data set and R codes are offered as publicly accessible supplementary materials (https://osf.io/e9bkf/) for replication and practice, which we hope will motivate more applications…
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Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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