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Cheung, Mike W. L.; Chan, Wai – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Structural equation modeling (SEM) is widely used as a statistical framework to test complex models in behavioral and social sciences. When the number of publications increases, there is a need to systematically synthesize them. Methodology of synthesizing findings in the context of SEM is known as meta-analytic SEM (MASEM). Although correlation…
Descriptors: Structural Equation Models, Simulation, Social Sciences, Correlation
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2007
A didactic discussion of a latent variable modeling approach is presented that addresses frequent empirical concerns of social, behavioral, and educational researchers involved in longitudinal studies. The method is suitable when the purpose is to analyze repeated measure data along several interrelated dimensions and to explain some of the…
Descriptors: Longitudinal Studies, Research Methodology, Models, Intervention