For CFA and MI analyses, I keep getting insanely good model fit (CFI = 1, RMSEA = 0, SRMR between .018 and .03). There are many degrees of freedom in the model, so I am not running into the problem of df = 1. When I run invariance analyses, CFI and RMSEA generally stay perfect, but SRMR changes (gets worse as expected, but not problematically). It would be great if we had a perfect model, but this seems suspect. Any thoughts on what could trigger this?

FYI, there is an invariance analysis (for race) where this is not the case. Fit for the configural model is RMSEA = .000, CFI = 1.014, SRMR = .19; Metric is RMSEA = .018, CFI = .997, SRMR = .42 and the scalar model is RMSEA = .038, CFI = .988, SRMR is .049.

Thanks for any thoughts you might have on this.

Meghan