I am running an SEM model with 7 latent variables and 29 indicators. N=206. All residual variances are positive. My chi-square value is quite high = 525, df=410, p=.0001. However, CFI and TLI both = .96 and RMSEA is.037. I’m confused about why my chi-square value is so high, since my sample size is not that big. Overall, this model seems to fit the data well except for the high chi-square. Should I be concerned about the high chi-square value?
Also, one of my latent variable R-square values is “undefined -.067862+00”. My guess is that this R-square becomes zero due to the other variables carrying so much of the variance. Could this be the case?