I would like to clarify which chi-square values to use for multiple group using MLR.
For the unconstrined model, do I use chi-square test of model fit? Or the chi-square test of model fit for the baseline model?
I have used the chi-square test of model fit from the unconstrained model and the the chi-square test of model fit from the constrained model.
There is a scaling corection factor for MLR under Loglikelihood for H0 - is this the one that is used?
For the unconstrained model (where paths are set to vary, thus not equal), I keep getting chi-square = 0, degree of freedom = o, p = .000. I am wondering why this is and does it make sense to compute the chi-square test with the scaling correction for MLR as per formula on the website or do I skip that given the 0 value for chi-square. Scaling correction is 1.000.
Jean FRISOU posted on Wednesday, October 02, 2013 - 2:04 pm
I am testing the equality of the average slopes of growth model, with two groups (women and men) and estimator MLMV. The procedure is DIFFTEST. In the output file the following message is indicated: "THE MODEL ESTIMATION TERMINATED NORMALLY THE CHI-SQUARE COMPUTATION COULD NOT BE COMPLETED BECAUSE OF A SINGULAR MATRIX." Only the test of differences is not displayed. Are there alternative ways to DIFFTEST for this test?