Quantifying and explaining heterogeneity in meta-analytic structural equation modeling: Methods and illustrations.

IF 4.6 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Zijun Ke, Han Du, Rebecca Y M Cheung, Yingtian Liang, Junling Liu, Wenqin Chen
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引用次数: 0

Abstract

As a method for developing and testing hypotheses, meta-analytic structural equation modeling, or MASEM, has drawn the interest of scholars. However, challenges remain in how we can model and explain meaningful heterogeneity in structural equation modeling (SEM) parameters. To address this issue, two novel methods have recently been proposed in the literature: Bayesian MASEM (BMASEM) and one-stage MASEM (OSMASEM). How the two methods can be applied to address actual psychological research questions involving heterogeneity is a topic of debate and confusion. In this study, we describe and compare the two methods using two illustrations on the mediating mechanism of mindfulness-based intervention and the factor structure of Rosenberg Self-Esteem Scale. In the illustrations, both methods were used to test the moderating effect of a covariate, to build a prediction equation for effect sizes in specific populations, and to evaluate the equivalence of standardized factor loadings of a scale. The study ends with a discussion of practical issues that may arise when applying BMASEM and OSMASEM.

元分析结构方程模型(MASEM)作为一种开发和检验假设的方法,引起了学者们的兴趣。然而,如何对结构方程建模(SEM)参数中的有意义的异质性进行建模和解释仍是一个挑战。为了解决这个问题,最近文献中提出了两种新方法:贝叶斯 MASEM(BMASEM)和单阶段 MASEM(OSMASEM)。如何将这两种方法应用于解决涉及异质性的实际心理学研究问题,是一个争论和困惑的话题。在本研究中,我们以正念干预的中介机制和罗森伯格自尊量表的因子结构为例来说明和比较这两种方法。在图解中,两种方法都被用来测试协变量的调节效应、建立特定人群效应大小的预测方程,以及评估量表标准化因子载荷的等效性。研究最后讨论了在应用 BMASEM 和 OSMASEM 时可能出现的实际问题。
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来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
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