结构方程模型中潜在相互作用的R平方:使用R的教程

Lu Qin, Jihong Zhang, Xinya Liang, Qianqian Pan
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引用次数: 1

摘要

Mplus(Muthén&Muthén,1998-2017)是一种流行的统计软件,用于使用潜在的缓和结构方程方法(LMS)来估计潜在的相互作用效应。然而,目前无法从Mplus输出中获得由支持估计结果解释的潜在相互作用解释的方差。为了减轻人类的计算,并促进社会科学研究中对潜在相互作用效应的解释,我们在R包IRmplus中开发了两个函数(LIR和LOIR),以计算结构方程建模中一阶简单主效应以上的潜在相互作用的R平方。本教程为应用研究人员提供了一个逐步的指南,用于估计Mplus中的潜在相互作用效应,并使用LIR和LOIR函数获得潜在相互作用效果的R平方。示例数据和语法可在线获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
R-squared of a Latent Interaction in Structural Equation Model: A Tutorial of Using R
Mplus (Muthén & Muthén, 1998 2017) is one popular statistical software to estimate the latent interaction effects using the latent moderated structural equation approach (LMS). However, the variance explained by a latent interaction that supports the interpretation of estimation results is not currently available from the Mplus output. To relieve human computations and to facilitate interpretations of latent interaction effects in social science research, we developed two functions (LIR & LOIR) in the R package IRmplus to calculate the R-squared of a latent interaction above and beyond the first-order simple main effects in Structural Equation Modeling. This tutorial provides a step-by-step guide for applied researchers to estimating a latent interaction effect in Mplus, and to obtaining the R-squared of a latent interaction effect using the LIR & LOIR functions. Example data and syntax are available online.
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