Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Journal of Marketing Theory and Practice, Vol. 16, No. 4, Structural Equation Modeling (Fall, 2008), pp. 279-285 (7 pages) This paper takes an objective look at how papers using structural equation ...

Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...

Structural equation modeling (SEM) represents a framework for developing and evaluating complex hypotheses about systems. This method of data analysis differs from conventional univariate and ...