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International Journal of Soft Computing
Year: 2012 | Volume: 7 | Issue: 6 | Page No.: 281-282
DOI: 10.3923/ijscomp.2012.281.282  
Develops in Latent Variable Methods of Analysis
Shahryar Sorooshian , Tan Seng Teck , Meysam Salimi and Liau Chee How
Abstract: This study is a note on latest developments in latent variable analysis. Text starts with theoretically review of the latent variable analysis follows by an introduction to Structural Equation Modeling (SEM), advantages and structures of SEM as an essential method of latent variable studies. Researchers suggest Medwell Journals special issues and researchers to adopt their studies with recent develops in latent variable analysis methods, especially SEM.
How to cite this article:
Shahryar Sorooshian, Tan Seng Teck, Meysam Salimi and Liau Chee How, 2012. Develops in Latent Variable Methods of Analysis. International Journal of Soft Computing, 7: 281-282.
DOI: 10.3923/ijscomp.2012.281.282