English Department & Language and Cognitive Neuroscience Lab, School of Foreign Studies, Xi'an Jiaotong University, China.
Department of Speech-Language-Hearing Sciences and Center for Neurobehavioral Development, University of Minnesota, Twin Cities, Minneapolis.
J Speech Lang Hear Res. 2022 Sep 12;65(9):3217-3238. doi: 10.1044/2022_JSLHR-21-00607. Epub 2022 Aug 24.
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.
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 in the speech, language, and hearing sciences field as well as behavioral and social sciences research in general.
系统评价和荟萃分析被视为提供文献中研究结果客观、可重复综合的标准和有价值的工具。它们的日益普及,使得人们对进行科学综述和分析的全面性和严谨性提出了更高的期望。本教程的目的是提供一个概述和指导,介绍如何解决进行高质量系统评价和荟萃分析的关键要素。
本教程为有兴趣学习和应用该方法的研究人员提供了进行系统评价和荟萃分析的实用指南。本教程借鉴了第二语言学习的先前荟萃分析综述作为说明性示例,讨论了在综述和分析过程的每个步骤中的方法选择和判断。作为一个实践教程,它使用了一个关于说话人变异性在言语训练研究中作用的已发表数据集,作为一个实际案例,阐明了荟萃分析的统计过程,并解释了使用免费的 R 软件进行荟萃分析的结果。
结果/结论:本教程提供了对进行系统评价和荟萃分析的方法选择、争议问题和常见实践的详细介绍。数据集和 R 代码作为可公开访问的补充材料(https://osf.io/e9bkf/)提供,以供复制和实践,我们希望这将激发更多在言语、语言和听力科学领域以及一般行为和社会科学研究中的应用。