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Definite Algorithm Based on Causal Effect in SEM for the Analysis of Earthquake-Stricken Masses' Mental Health

机译:SEM中基于因果关系的确定算法用于分析地震灾民的心理健康

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In recent years, SEM is widely used in many fields. This paper builds a mental health evaluation model for earthquake-stricken masses through the principle of structural equation model. Based on our MCLS solution for measurement equation by adding a constraint with modular length to the latent variable, we change the modular lengths of latent variables so that the path coefficients between any latent variables and its manifest variables satisfy prescription condition, at the same time, consider making the sum of error square least, we obtain a definite algorithm for SEM. With our model, the relationship of structure variables in index system can be analyzed, as well as the relationship between the construction and observation variables. Thus, we can make good analysis of the earthquake-stricken massespsila mental health, so related experts can take effective interventions.
机译:近年来,SEM被广泛应用于许多领域。本文通过结构方程模型的原理,建立了地震灾民心理健康评价模型。在我们的测量方程MCLS解决方案的基础上,通过向潜在变量添加具有模块化长度的约束,我们更改了潜在变量的模块化长度,以使任何潜在变量及其明显变量之间的路径系数同时满足处方条件,考虑使误差之和最小二乘,我们获得了SEM的确定算法。利用我们的模型,可以分析指标体系中结构变量之间的关系,以及构造变量和观测变量之间的关系。因此,我们可以很好地分析地震灾区群众的心理健康状况,以便相关专家能够采取有效的干预措施。

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