Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrations
Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrations
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DOI：
10.1002/jrsm.1166
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发表时间：
2016-06-01
影响因子：
9.8
通讯作者：
Cheung, Shu Fai
中科院分区：
文献类型：
--
作者：
Cheung, Mike W. -L.;Cheung, Shu Fai
荟萃分析结构方程模型（MASEM）结合了荟萃分析和结构方程模型的技术，目的是合成相关或协方差矩阵，并在合并的相关或协方差矩阵上拟合结构方程模型。固定效应和随机效应模型都可以在MASEM中定义。随机效应模型在传统的荟萃分析中是众所周知的，但在MASEM中研究较少。本文的主要目的是解决问题的随机效应模型在MASEM。具体来说，我们比较了两种不同的随机效应模型在MASEM相关性为基础的MASEM和参数为基础的MASEM，并探讨其优势和局限性。通过两个实例来说明这些模型之间的异同。我们提供了在这两种模型之间进行选择的一些实用指南。最后对随机效应模型的研究方向进行了展望。版权所有（C）2016约翰威利父子有限公司
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM. Random-effects models are well known in conventional meta-analysis but are less studied in MASEM. The primary objective of this paper was to address issues related to random-effects models in MASEM. Specifically, we compared two different random-effects models in MASEM-correlation-based MASEM and parameter-based MASEM-and explored their strengths and limitations. Two examples were used to illustrate the similarities and differences between these models. We offered some practical guidelines for choosing between these two models. Future directions for research on random-effects models in MASEM were also discussed. Copyright (C) 2016 John Wiley & Sons, Ltd.