How does one test for modifier or covariate control variables in a structural model?
• How do you handle before-after and other repeated measures data in SEM? • How do you use crossproduct interaction terms in SEM? • If I run a SEM model for two subgroups of my sample, can I compare the path coefficients? • How and why should I model the mean structure of a model, not just covariance? • Should one standardize variables prior to structural equation modeling, or use standardized regression coefficients as an input matrix? • What do I do if I don’t have interval variables? • What is a “Heywood case”? • What are “replacing rules” for equivalent models? • Does it matter which statistical package you use for structural equation modeling? • What is a “structural equation model”? A structural equation mode is a complete path model which can be depicted in a path diagram. It differs from simple path analysis in that all variables are latent variables measured by multiple indicators which have associated error terms, in addition to the residual error factor associated with the l
