Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling

Markus Kattenbeck, David Elsweiler
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引用次数: 5

Abstract

Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical underpinnings and gained sufficient insight to apply this technique in a practical sense to their own research problems.
结合潜在变量和测量变量的估计模型:结构方程模型及其使用PLS路径建模的估计的基础,应用和当前发展教程
结构方程建模是一种强大的统计方法,可以将测量变量和潜在变量组合在一个模型中。在这半天的教程中,参与者学习了统计技术,它的理论基础,并获得了足够的洞察力,将这种技术在实际意义上应用于他们自己的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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