Please excuse my ignorance given how new I am to Mplus.
I am aiming to assess model fit output for a model with 5 continuous variables and 1 binary variable (so I am using WLSMV estimation). I have 3 related questions:
1- Is the chi-square value useful when I get this message: "*The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLM, MLR and WLSM chi-square difference testing is described on the Mplus website. MLMV, WLSMV, and ULSMV difference testing is done using the DIFFTEST option."?
2- Would I only get WRMR output when both continuous AND binary variables are in the model?
3- Relatedly, would I only get SRMR output when only continuous variables are in my model?
This is used to compute CFI and TLI. It is a model of free means and variances for all observed variables in the model and covariances among the exogenous and endogenous variables.
Charlotte posted on Tuesday, May 31, 2016 - 9:49 pm
Following up on Dr. Muthen's response on 5/4/16, "2. We no longer recommend relying on WRMR."
1) Why are you no longer recommending relying on WRMR? 2) My understanding from previous postings was that WRMR was a statistic that was computed if a model included binary items, and that it replaced SRMR. Provided that my understanding has been correct, is there a way for us to compute SRMR in Mplus given that WRMR is no longer deemed reliable?
WRMR is an experimental fit statistic. It always has been. It is not a replacement for SRMR. If SRMR is available, it is given automatically.
Charlotte posted on Friday, June 03, 2016 - 1:46 pm
Following up now on the response to the first post in this thread, I have a question about the following: "1. That is a standard message and does not reflect on the fit of your model."
Does this mean that the values for the chi-square and df in the chi-square test of model fit can be interpreted as is? Or, does a different test need to be run to get an appropriate chi-square test of model fit?