log-likelihood + log(n) × number of model parameters), and the sample-size adjusted BIC (i.e., the adjusted BIC). Low values for the AIC, BIC, and adjusted BIC indicate a good-fitting model (Muthén & Muthén, 2008). In addition to the global fit indices, more focused tests included examination of the standardized residual covariances (i.e., values ranging between −2.00 and 2.00) and modification indices (<3.84).
