@article{MAKHILLIJSC20127621097,
    title = {Develops in Latent Variable Methods of Analysis},
    journal = {International Journal of Soft Computing},
    volume = {7},
    number = {6},
    pages = {281-282},
    year = {2012},
    issn = {1816-9503},
    doi = {ijscomp.2012.281.282},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2012.281.282},
    author = {Shahryar,Tan Seng,Meysam and},
    keywords = {Latent variable,modeling,structural equation modeling,scholars,structure},
    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.}
    }