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Improved Partial Least Square and Multi-group Structural Equation Model Using Distributed Computing
Ruan Xiangwei 1 * #,Tong Hengqing 2
1.Department of Computer Science ,Wuhan University of Technology
2.Depatrment of Mathematics, Wuhan University of Technology
*Correspondence author
#Submitted by
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Funding: none
Opened online:20 February 2009
Accepted by: none
Citation: Ruan Xiangwei,Tong Hengqing.Improved Partial Least Square and Multi-group Structural Equation Model Using Distributed Computing[OL]. [20 February 2009] http://en.paper.edu.cn/en_releasepaper/content/29382
 
 
Structural equation model has become a very popular data-analytic technique. It is widely applied in Psychology and Sociology as well as other fields, especially in Customer Satisfaction Index (CSI) model, which was required by a series of ISO9000 criterions. Many papers focus on the extension of the SEM, such as multi-level SEM, multi-group SEM and nonlinear SEM. Having proposed the generalized linear model with a convex constraint, we may discuss multi-group SEM using our method in this paper. Distributed computing is a new kind of computing technology for complex scientific calculation which accompanied by the rapid development of Internet technology. In the modern times, the study fields cover many disciplines and involve many sectors, and the classifications are appropriately. And each of the subjects seems to have required a large amount of calculation. Distributed computing, considering its unique advantages-cheap and efficient, has attracted the concern of the society.
Keywords:Structural Equation Model;Partial least square;Iterative initial value;Multi-group;Distributed Computing
 
 
 

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