当前位置: X-MOL 学术Psychological Methods › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.
Psychological Methods ( IF 10.929 ) Pub Date : 2021-10-14 , DOI: 10.1037/met0000396
Zijun Ke 1 , Xin Tong 1
Affiliation  

As a powerful tool for synthesizing information from multiple studies, meta-analysis has gained high popularity in many disciplines. Conclusions stemming from meta-analyses are often used to direct theory development, calibrate sample size planning, and guide critical decision-making and policymaking. However, meta-analyses can be conflicted, misleading, and irreproducible. One of the reasons for meta-analyses to be misleading is the improper handling of measurement unreliability. We show that even when there is no publication bias, the current meta-analysis procedures would frequently detect nonexistent effects, and provide severely biased estimates and intervals with coverage rates far below the intended level. In this study, an effective approach to correcting for unreliability is proposed and evaluated via simulation studies. Its sensitivity to the violation of the homogeneous reliability and residual correlation assumption is also tested. The proposed method is illustrated using a real meta-analysis on the relationship between extroversion and subjective well-being. Substantial differences in meta-analytic results are observed between the proposed method and existing methods. Further, although not specifically designed for aggregating effect sizes with various measures, the proposed method can be used to fulfill the purpose. The study ends with discussions on the limitations and guidelines for implementing the proposed approach. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

中文翻译:

校正相关性荟萃分析中测量不可靠性的乘法和加法效应。

作为综合多项研究信息的有力工具,荟萃分析在许多学科中得到了广泛的应用。荟萃分析得出的结论通常用于指导理论发展、校准样本量规划以及指导关键决策和政策制定。然而,荟萃分析可能存在矛盾、误导和不可重复。荟萃分析具有误导性的原因之一是对测量不可靠性的处理不当。我们表明,即使没有发表偏倚,当前的荟萃分析程序也会经常检测到不存在的影响,并提供严重偏倚的估计和覆盖率远低于预期水平的区间。在这项研究中,通过模拟研究提出并评估了一种纠正不可靠性的有效方法。还测试了其对违反齐次可靠性和残差相关假设的敏感性。使用关于外向性和主观幸福感之间关系的真实荟萃分析来说明所提出的方法。在所提出的方法和现有方法之间观察到荟萃分析结果的实质性差异。此外,虽然不是专门为通过各种措施汇总效果大小而设计的,但所提出的方法可用于实现该目的。该研究最后讨论了实施拟议方法的局限性和指南。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)使用关于外向性和主观幸福感之间关系的真实荟萃分析来说明所提出的方法。在所提出的方法和现有方法之间观察到荟萃分析结果的实质性差异。此外,虽然不是专门为通过各种措施汇总效果大小而设计的,但所提出的方法可用于实现该目的。该研究最后讨论了实施拟议方法的局限性和指南。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)使用关于外向性和主观幸福感之间关系的真实荟萃分析来说明所提出的方法。在所提出的方法和现有方法之间观察到荟萃分析结果的实质性差异。此外,虽然不是专门为通过各种措施汇总效果大小而设计的,但所提出的方法可用于实现该目的。该研究最后讨论了实施拟议方法的局限性和指南。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)所提出的方法可用于实现该目的。该研究最后讨论了实施拟议方法的局限性和指南。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)所提出的方法可用于实现该目的。该研究最后讨论了实施拟议方法的局限性和指南。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)
更新日期:2021-10-14
down
wechat
bug