Partial Least Squares Path Modeling on Second-Order Latent Variable Evaluation Model and its Application

机译：二阶潜在变量评估模型的偏最小二乘路径建模及其应用

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Evaluation is a key issue in research of social science. In this paper, we discussed a second-order latent variable evaluation method by PLS path modelling. We explain the structure of second-order confirmatory SEM and modified the algorithm of PLS. a practice work of clinical evaluation was discussed at the end.

机译：评价是社会科学研究中的关键问题。在本文中，我们讨论了通过PLS路径建模的二阶潜变量评估方法。我们解释了二阶确认性SEM的结构，并修改了PLS算法。最后讨论了临床评价的实践工作。

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来源
《Proceedings of the 6th international conference on partial least squares and related methods》|2009年|p.121-126|共6页
会议地点 Beijing(CN);Beijing(CN)
作者
Yang Li; Danhui Yi; Huiyun Zhang;
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作者单位

School of Statistics, Renmin University of China, Beijing 100872, China;

School of Statistics, Renmin University of China, Beijing 100872, China;

Depart of Scientific Research, Shandong University of Traditional Chinese Medicine, Jinan 250014, China;

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原文格式 PDF
正文语种 eng
中图分类数学;
关键词
Evaluation; Latent variable; Partial Least Squares;

机译：评估;潜变量;偏最小二乘;

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Partial Least Squares Path Modeling on Second-Order Latent Variable Evaluation Model and its Application

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