Thanks Terrance. I've added the argument "hi = TRUE" and the fitMeasures function now runs without any warning messages.
fitMeasures(sdq_imp_fit_1, test = "D2", pool.robust = TRUE)
chisq df pvalue
2470.728 741.000 0.000
ariv fmi npar
4.503 0.818 181.000
ntotal chisq.scaled df.scaled
6409.000 2907.092 741.000
pvalue.scaled ariv.scaled fmi.scaled
0.000 3.032 0.752
baseline.chisq baseline.df baseline.pvalue
1128.886 820.000 0.000
baseline.chisq.scaled baseline.df.scaled baseline.pvalue.scaled
2034.922 820.000 0.000
cfi cfi.scaled rni
0.000 0.000 -4.600
rni.scaled nnfi tli
-0.783 -5.197 -5.197
nnfi.scaled tli.scaled rfi
-0.973 -0.973 1.000
rfi.scaled nfi nfi.scaled
1.000 -1.189 -0.429
pnfi pnfi.scaled ifi
-1.074 -0.387 -3.459
ifi.scaled mfi rmsea
-0.674 0.874 0.019
rmsea.ci.lower rmsea.ci.upper rmsea.pvalue
0.018 0.020 1.000
rmsea.scaled rmsea.ci.lower.scaled rmsea.ci.upper.scaled
0.021 0.021 0.022
rmsea.pvalue.scaled gammaHat adjGammaHat
1.000 0.987 0.985
gammaHat.scaled adjGammaHat.scaled rmr
0.984 0.981 0.757
rmr_nomean srmr srmr_bentler
0.757 0.065 0.065
srmr_bentler_nomean crmr crmr_nomean
0.065 0.065 0.065
srmr_mplus srmr_mplus_nomean
0.065 0.065
Thanks for your ongoing help with this
bw
Tim