Observational Residuals in Structural Equations ModelingWhile explore outliers capability is available in the SEM platform, it will useful to add the capability to estimate model-based residuals and leverage observations in SEM. This adds the capability to do residual analysis in SEM at the observational level and identify unusual and problematic cases. Since regression and factor analysis are special cases of SEM, this capability will extend to these types of models as well. Creating additional columns with these variables adds extra capability to do further exploration. Implemented in SAS (see Truxillo (2017)).
Advanced Statistical ModelingConsumer and Market ResearchRe: Observational Residuals in Structural Equations Modeling - Status changed to: In DevelopmentHello:
Looking forward to this new feature in JMP16. This will be a critical SEM diagnostic for users who have observational data.
Re: Observational Residuals in Structural Equations Modeling - Status changed to: In DevelopmentJMP 16 will offer the option to Save Observational Residuals. Thanks for the suggestion.
