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Observational Residuals in Structural Equations Modeling

While 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)).

Tracking Number:

Defect ID: S1551438

Community Manager
Status changed to: In Development

JMP 16 will offer the option to Save Observational Residuals. Thanks for the suggestion.

Level IV

Looking forward to this new feature in JMP16. This will be a critical SEM diagnostic for users who have observational data.