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 ...
Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...
Citations: Anderson, James. 1988. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin. (3)411-423.
The basics of variation - means and variances are considered, followed by description of i) the tracing rules of path analysis and ii) matrix representation of path models. The discussion is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback