Abstract An assumption of meta-analyses is made with regard to the quality of the primary studies included for analysis. Specifically, the process assumes each study is a valid estimation of a hypothesized relationship of interest. In instances when a primary study's quality is below an acceptable standard, one option is for the study be excluded from further analyses. Alternatively, studies of acceptable merit could be further investigated through moderator analyses in an attempt to explain heterogeneity among effect sizes due to quality elements. The current essay discusses methods for evaluating study quality before proposing guidelines for their assessment. It is recommended that future meta-analyses in communication include a dedicated section detailing how study quality is addressed when reviewing studies for inclusion.

中文翻译：

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在荟萃分析中评估研究质量

摘要 对纳入分析的主要研究的质量做出了荟萃分析的假设。具体来说，该过程假设每项研究都是对假设的感兴趣关系的有效估计。在主要研究的质量低于可接受标准的情况下，一种选择是将研究排除在进一步分析之外。或者，可以通过调节分析进一步研究可接受价值的研究，以试图解释由于质量因素导致的效应大小之间的异质性。目前的文章在提出评估指南之前讨论了评估学习质量的方法。建议未来的交流荟萃分析包括一个专门的部分，详细说明在审查纳入研究时如何解决研究质量问题。