Estimating, Testing, and Comparing Specific Effects in Structural Equation Models: The Phantom Model Approach

Estimating, Testing, and Comparing Specific Effects in Structural Equation Models: The Phantom Model Approach
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DOI:
10.1037/a0021763
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发表时间:
2011-03-01
影响因子:
7
通讯作者:
Ledermann, Thomas
Ledermann, Thomas
中科院分区:
心理学1区
文献类型:
--
作者:
Macho, Siegfried;Ledermann, Thomas

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本文介绍了结构方程模型(SEM)中用于估计、检验和比较特定效应的模型方法。这种新方法的基本原理在于将待评估的特定效应表示为单独潜变量模型(添加到主模型中的体模模型)中的总效应。该方法具有以下有利特征:(a)它能够估计、检验和比较具有潜在变量和显式变量的递归和非递归模型的任意特定效应;(B)它能够自举置信区间;(c)它可以应用于允许潜在变量、等式约束规范和总效应自举的所有标准SEM程序。这些特点沿着的事实,即没有操作的矩阵和公式是必需的,使该方法特别适合应用研究人员。通过3个真实的数据集的例子说明了该方法。
The phantom model approach for estimating, testing, and comparing specific effects within structural equation models (SEMs) is presented. The rationale underlying this novel method consists in representing the specific effect to be assessed as a total effect within a separate latent variable model, the phantom model that is added to the main model. The following favorable features characterize the method: (a) It enables the estimation, testing, and comparison of arbitrary specific effects for recursive and nonrecursive models with latent and manifest variables; (b) it enables the bootstrapping of confidence intervals; and (c) it can be applied with all standard SEM programs permitting latent variables, the specification of equality constraints, and the bootstrapping of total effects. These features along with the fact that no manipulation of matrices and formulas is required make the approach particularly suitable for applied researchers. The method is illustrated by means of 3 examples with real data sets.