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.