Integration of Moderation and Mediation in a Latent Variable Framework: A Comparison of Estimation Approaches for the Second-Stage Moderated Mediation Model.
Integration of Moderation and Mediation in a Latent Variable Framework: A Comparison of Estimation Approaches for the Second-Stage Moderated Mediation Model.
复制标题
潜在变量框架中适度和中介的整合：第二阶段适度中介模型估计方法的比较。
DOI：
10.3389/fpsyg.2020.02167
复制
发表时间：
2020
影响因子：
3.8
通讯作者：
Pan J
中科院分区：
文献类型：
--
作者：
Feng Q;Song Q;Zhang L;Zheng S;Pan J
越来越多的研究集中在整合适度和调解的模型上。四种方法可以用来测试集成的调解和缓和模型：路径分析（PA），产品指标分析（PI，约束方法和无约束方法），和潜在的缓和结构方程（LMS）。据我们所知，很少有研究比较PA，PI和LMS在评估综合调解和适度模型的性能。因此，这是很难的应用研究人员选择合适的方法，在他们的数据分析。本研究以第二阶段调节中介模型为代表，探讨不同分析方法在模型分析中的表现。在不同的条件下，比较了四种自举标准误差的方法。此外，还考虑了具有鲁棒标准误差的LMS和LMS和PA的贝叶斯估计。结果表明，LMS与强大的标准误差是上级的评价方法，在所有的研究设置。PA估计可能被严重低估，因为它们忽略了测量误差。此外，它被发现，约束PI和无约束PI仅提供可接受的估计时，多元正态分布假设得到满足。还提供了实用指南来说明LMS的实施。本研究有助于拓展LMS在心理学和社会科学研究中的应用。
An increasing number of studies have focused on models that integrate moderation and mediation. Four approaches can be used to test integrated mediation and moderation models: path analysis (PA), product indicator analysis (PI, constrained approach and unconstrained approach), and latent moderated structural equations (LMS). To the best of our knowledge, few studies have compared the performances of PA, PI, and LMS in evaluating integrated mediation and moderation models. As a result, it is difficult for applied researchers to choose an appropriate method in their data analysis. This study investigates the performance of different approaches in analyzing the models, using the second-stage moderated mediation model as a representative model to be evaluated. Four approaches with bootstrapped standard errors are compared under different conditions. Moreover, LMS with robust standard errors and Bayesian estimation of LMS and PA were also considered. Results indicated that LMS with robust standard errors is the superior evaluation method in all study settings. And PA estimates could be severely underestimated as they ignore measurement errors. Furthermore, it is found that the constrained PI and unconstrained PI only provide acceptable estimates when the multivariate normal distribution assumption is satisfied. The practical guidelines were also provided to illustrate the implementation of LMS. This study could help to extend the application of LMS in psychology and social science research.
登录
查看更多内容
影响因子：
7.6
作者：
BARON, RM;KENNY, DA
通讯作者：
KENNY, DA
DOI：
10.1080/10705511.2011.582408
发表时间：
2011-01-01
影响因子：
6
作者：
Kelava, Augustin;Werner, Christina S.;West, Stephen G.
通讯作者：
West, Stephen G.
影响因子：
--
作者：
AROIAN, LA
通讯作者：
AROIAN, LA
DOI：
10.1207/s15328007sem0801_3
发表时间：
2001-01-01
影响因子：
6
作者：
Algina, James;Moulder, Bradley C.
通讯作者：
Moulder, Bradley C.
影响因子：
3.8
作者：
Cham H;West SG;Ma Y;Aiken LS
通讯作者：
Aiken LS