Table 7.

Comparative Fit of Models with Different Covariance Structures for Family Effects over Time on Child Depression

	Stable		Dynamic
	Intercept	Intercept + Slope	CS	AR
Parameters	8	10	9	9
Model 1: Includes Age Trends Only
−2LL	6259.0	6253.8	6257.3	6251.5
AIC	6275.0	6273.8	6257.4	6269.5
BIC	6304.0	6310.2	6308.0	6302.2
Model 2: Includes Age and Child- and Family-Level Predictors
−2LL	6235.9	6232.7	6234.2	6227.9
AIC	6251.9	6252.7	6252.3	6245.9
BIC	6280.9	6289.0	6284.9	6278.6

Note: Parameters refers to the number of unique variance/covariance parameters estimated in the model, −2LL is the log-likelihood of the model multiplied by a factor of −2 (i.e., the model deviance), AIC is Akaike’s Information Criterion, BIC is Bayes’ Information Criterion. Bolded entries indicate best fit. Covariance structures were specified as defined in Table 1: CS = compound symmetric, AR = first-order autoregressive.