In practice, however, chi-square is not considered to be a very useful fit index by most researchers, because it is affected by sample size — larger samples produce larger chi-squares that are significant even with very small discrepancies between implied and obtained covariance matrices.
Multiple fit indices should be used to assess a model's goodness-of-fit.