Unbelievable 'Perfect' fit indexes in JASP
Hello all,
I´m trying to figure out why fit indexes using Robust DWLS in JASP are, in general so good! and why they are so discrepant in comparison to lavaan or Mplus results using WLSMV.
When we request WLSMV in lavaan, it comes out with two colums (DWLS and Robust). So, If im not wrong, lavaan collumn 'robust' should be the same of JASP Robust DWLS, or am I missing something?
Overall, when I am using robust DWLS in JASP, my fit indexes are always 'perfect' or close to it.
Does anyone has any tip on this?
Thanks in advance.
Comments
Hi Brunofd,
What functionality in JASP are you referring to? The SEM module is based on lavaan. Do you have a data example that demonstrates the discrepancy?
Cheers,
E.J.
Dear Brunofd,
The "estimator" and "error calculation" options in the SEM analysis correspond to options "estimator" and "se" arguments in lavaan. So selecting Robust DWLS in JASP should give you the same results as calling lavaan(..., estimator = "DWLS", se = "robust").
As E.J. said, if that does not answer the question fully, it would be helpful to have a reproducible example that demonstrates a discrepancy between JASP and lavaan.
Best,
Simon
Thanks for the response, guys! I think the problem was in older versions of JASP, where we needed to consider variables as 'metric', once JASP didn´t allow running CFA with categorical variables. This issue is now fixed on version 0.16.
Cheers!