Table 3.

Goodness-of-Fit Indices for Body Mass Index, Executive Function, Speed, and Memory Unconditional Latent Growth Models

Model	−2LL	Parameters free	AIC	BIC	D	Δdf
Body Mass Index
Fixed intercept	10,650.81	4	10,658.81	10,677.81	--	--
Random intercept	9,068.69	5	9,078.69	9,102.44	1,582.11*	1
Random intercept, fixed slopea	9,018.14	6	9,030.14	9,058.64	50.55*	1
Random intercept, random slope	9,015.58	8	9,031.58	9,069.58	2.57	2
Executive Function
Fixed intercept	5,572.72	4	5,580.72	5,599.79	--	--
Random intercept	3,852.99	5	3,862.99	3,886.82	1,719.73*	1
Random intercept, fixed slope	2,650.38	6	2,662.38	2,690.98	1,202.61*	1
Random intercept, random slopea	2,333.39	8	2,349.39	2,387.53	316.99*	2
Speed
Fixed intercept	5,592.43	4	5,600.43	5,619.50	--	--
Random intercept	4,362.82	5	4,372.82	4,396.66	1,229.61*	1
Random intercept, fixed slope	3,444.05	6	3,456.05	3,484.65	918.77*	1
Random intercept, random slopea	3,254.02	8	3,270.02	3,308.16	190.03*	2
Memory
Fixed intercept	5,457.77	4	5,475.65	5,494.72	--	--
Random intercept	3,793.33	5	3,835.51	3,859.35	1,664.44*	1
Random intercept, fixed slope	2,569.23	6	2,638.94	2,667.55	1,224.10*	1
Random intercept, random slopea	2,113.30	8	2,184.52	2,222.66	455.93*	2

Note. −2LL = −2 log likelihood; AIC = Akaike information criterion; BIC = Bayesian information criterion; D = difference statistic (using −2LL).

^aBest fitting model.

^***p ≤ .001

^**p ≤ .01

^*p ≤ .05