The real (enlarged) error is only slightly larger than the asymptotic error when the data approximate the model. Use enlarged "real" error when misfit is due to systematic error.The "model" asymptotic standard error (precision) is that which applies, in the limit, when data fit the model. It is the smallest possible standard error (highest possible precision), and implies that the data accord with the measurement model, i.e, that misfit is random. If you hypothesize that noise in the data is systematic and not random (the worst case), and so wish to see standard errors (precisions) enlarged to encompass this systematic lack of fit discovered in the current analysis, type:

SE = Real ; "Real" can be abbreviated to "R", or specify SE=Enlarged

 

SE = Real is the more conservative approach. It is recommended for exploratory analysis.

Real enlarged S.E. = Model asymptotic S.E. *  sqrt(Max(INFIT Mnsq, 1))

 

The setting of SE= can be changed for reporting in Modify Specifications.