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      An empirical comparison of the efficacy of covariance-based and variance-based SEM

      , ,
      International Journal of Research in Marketing
      Elsevier BV

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          The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.

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            An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment

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              Applications of structural equation modeling in psychological research.

              This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. We focus first on the variety of research designs and substantive issues to which SEM can be applied productively. We then discuss a number of methodological problems and issues of concern that characterize some of this literature. Although it is clear that SEM is a powerful tool that is being used to great benefit in psychological research, it is also clear that the applied SEM literature is characterized by some chronic problems and that this literature can be considerably improved by greater attention to these issues.
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                Author and article information

                Journal
                International Journal of Research in Marketing
                International Journal of Research in Marketing
                Elsevier BV
                01678116
                December 2009
                December 2009
                : 26
                : 4
                : 332-344
                Article
                10.1016/j.ijresmar.2009.08.001
                0ba3f9ed-18fb-4757-b312-2b824f0ae860
                © 2009

                http://www.elsevier.com/tdm/userlicense/1.0/

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