Akaike Information Criterion (AIC) is a relative fit index that balances fit with parsimony, and can be used to compare models regardless of whether they are nested. AIC is calculated as: AIC=χ2+2×fp, where fp is the number of free parameters in the model.52 Lower AIC values are considered superior.
