Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2011.686.692CiavolinoEnrico 42011114The aim of this study is to analyze a Job Satisfaction (JS) model by using an information theoretic approach based on the semi-parametric Generalized Maximum Entropy (GME) estimator. The GME is used in order to estimate the parameters of the Structural Equation Model (SEM), which represents the theoretical representation of the relationships between the human being and his job. Moreover, thanks to the entropy index measure, the theoretical model is analyzed in its some particular aspects, which can be seen as sub-structures in the relationships.]]>Kuean, W.L., S. Kaur and E.S.K. Wong,2010Hosseinian, S., Y. Seyedeh-Monavar, Z. Shaghayegh and A. Fathi-Ashtiani,2008Al-Nasser, A.D.,2003Carpita, M.,2009Ciavolino, E., 2009Ciavolino, E. and A.D. Al-Nasser,2009Ciavolino, E. and J.J. Dahlgaard,2009Dahlgaard, J.J. and E. Ciavolino,2007Golan, A.,2008Golan, A., G.G. Judge and D. Miller,1996Joreskog, K.G.,1973Pukelsheim, F.,1994Shannon, C.E.,1948Soofi, E.S.,1992Wold, H.,1975