The overall fit of a multilevel model can be tested using a chi-square likelihood ratio test.

Name: The overall fit of a multilevel model can be tested using a chi-square likelihood ratio test.
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The chi-square likelihood ratio test compares the fit of a multilevel model with a simpler model (usually a model without the higher levels) to see if the more complex model significantly improves the fit, indicating the appropriateness of including the multilevel structure.

The Overall Fit of a Multilevel Model Can Be Tested