• The latent variable is expressible in term of linear combination of the original signals.

    潜变量可由原始变量的线性组合来表示。

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  • We introduce the direction of arrows on the latent variable, equivalent model and power of test.

    本文介绍隐变量上的箭头指向问题、模型的等价及检验的功效。

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  • The latent variable path analyses of SEM (structural equation modeling) were used for data analyses.

    数据分析方法采用的是结构方程模型。

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  • Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.

    高斯过程隐变量模型是最近提出的比较流行的无监督降维方法。

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  • Methods: the latent variable scores theory of confirmatory factor analysis was discussed and latent variable scores were estimated with LISREL program.

    方法:探讨验证性因子分析中潜变量得分的估计原理,潜变量得分的估计采用LISREL软件编程实现。

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  • Results: Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation.

    结果:利用一组职业紧张调查数据例证了潜变量得分的估计方法,通过对职业紧张量表(OSI - R)测量结果分析,结果符合专业解释。

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  • Structural equation modeling has great abilities to treat measure error and offers a strong tool for measuring latent variable and verifying the causality models in strategy management research.

    在战略管理研究中涉及众多隐含变量的测量以及因果模型的验证,结构方程模型为解决这些问题提供了新的更好的方法。

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  • Structural equation modeling has great abilities to treat measure error and offers a strong tool for measuring latent variable and verifying the causality models in strategy management research.

    在战略管理研究中涉及众多隐含变量的测量以及因果模型的验证,结构方程模型为解决这些问题提供了新的更好的方法。

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