Factors affecting Chi-sqaure value in SEM

[Jon]

I have a model that has decent fit statistics CFI > .95, RMSEA and SRMR both < .08, but the chi square value is really high.  It hovers around chi-square = 1,800 with a DF of 80.  In other words, the chi-square to DF ratio is high, and I don’t know why.  What factors might be affecting chi-square when all the other fit statistics look acceptable?  (I’m not concerned with the significant chi-square test, that was expected with my large sample size, but I just need to specifically explain why my chi-square to DF ratio is so large)

If it helps:  I’m using AMOS 22.0 to run the analyses of a model with a sample of 6,000 participants testing relationships between 3 latent constructs (with 4-5 indicators each) and one observed variable.  

Thanks

[Author]

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