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首页> 外文期刊>Structural equation modeling >Modeling Latent Interactions at Level 2 in Multilevel Structural Equation Models: An Evaluation of Mean-Centered and Residual-Centered Unconstrained Approaches
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Modeling Latent Interactions at Level 2 in Multilevel Structural Equation Models: An Evaluation of Mean-Centered and Residual-Centered Unconstrained Approaches

机译：在多级结构方程模型中的第2级建模潜在相互作用：均值中心和残心中心无约束方法的评估

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摘要

Among the many methods currently available for estimating latent variable interactions, the unconstrained approach is attractive to applied researchers because of its relatively easy implementation with any structural equation modeling (SEM) software. Using a Monte Carlo simulation study, we extended and evaluated the unconstrained approach to estimate Level 2 latent interactions in multilevel SEM. We compared mean-centered and residual-centered methods for forming product indicators. We found that using the unconstrained approach with either centering method produced unbiased parameter estimates and standard errors of Level 2 latent interactions when intraclass correlations and group sizes are large. The accuracy of estimation of latent interactions depended on the reliability of the indicators of the Level 2 constructs. When the reliability of indicators was low, parameter estimates became unacceptably biased, but not standard errors. The residual-centered method was found to be more sensitive to decreases in reliability of indicators.
机译：在目前可用的估计潜在变量相互作用的许多方法中，无限制方法对于应用研究人员具有吸引力，因为它可以相对容易地与任何结构方程模型（SEM）软件一起实施。使用蒙特卡洛模拟研究，我们扩展并评估了无约束方法来估计多级SEM中的2级潜在相互作用。我们比较了以均值为中心和以残差为中心的方法来形成产品指标。我们发现，当类内相关性和组大小较大时，将无约束方法与两种居中方法结合使用会产生无偏参数估计和2级潜在交互作用的标准误差。潜在相互作用的估计准确性取决于2级结构指标的可靠性。当指标的可靠性很低时，参数估计会出现不可接受的偏差，但不会出现标准误差。发现以残差为中心的方法对指标可靠性下降更为敏感。

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