Hi,
Is there any guidance on how people should be getting the fit of their models, esp multi group models?
running an ACE type model, the summary doesn't calculate any fit statistics, nor does it seem to know how many observations were being made etc so df is just -est parameters etc.
summary(fit) name matrix row col parameter estimate error estimate 1 all.a_c 1 1 2.384409e-01 0.22324048 2 all.a_c 2 1 4.199091e-01 0.21043198 3 all.a_c 3 1 2.366656e-01 0.17050014 4 all.c_c 1 1 4.794349e-01 0.16473834 5 all.c_c 2 1 1.533741e-01 0.14155519 6 all.c_c 3 1 1.806579e-01 0.13491689 7 all.e_c 1 1 1.838531e-01 0.08764916 8 all.e_c 2 1 3.122362e-01 0.12072371 9 all.e_c 3 1 4.914389e-01 0.15620607 10 all.a 1 1 4.452644e-01 0.20181557 11 all.a 2 2 3.546483e-01 0.19978474 12 all.a 3 3 4.331486e-01 0.07694248 13 all.c 1 1 1.310573e-05 1.85878064 14 all.c 2 2 -1.006976e-06 0.56912795 15 all.c 3 3 -2.730591e-06 0.56363373 16 all.e 1 1 5.441768e-01 0.05386086 17 all.e 2 2 4.934105e-01 0.07569937 18 all.e 3 3 4.127164e-01 0.17458587 19 Trait1mean all.expMean 1 1 2.497818e+00 0.07429617 20 Trait2mean all.expMean 1 2 2.976677e+00 0.06878513 21 Trait3mean all.expMean 1 3 2.082244e+00 0.05968714 Observed statistics: 0 Estimated parameters: 21 Degrees of freedom: -21 -2 log likelihood: 8259.418 Saturated -2 log likelihood: Chi-Square: p: AIC (Mx): BIC (Mx): adjusted BIC: RMSEA:
The submodels don't know this either:
> summary(fit@submodels$MZ)
Observed statistics:
Estimated parameters:
Degrees of freedom:
-2 log likelihood:
Saturated -2 log likelihood:
Chi-Square:
p:
AIC (Mx):
BIC (Mx):
adjusted BIC:
RMSEA: