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. Author manuscript; available in PMC: 2015 Dec 15.
Published in final edited form as: Dev Psychopathol. 2014 Nov;26(4 0 2):1353–1368. doi: 10.1017/S0954579414001072

Table 2.

Fixed effects, random effects, and model fits for unconditional means model (Model 1) and basic growth curve models (Model 2) of square-root-transformed internalizing symptoms from ages 4 to 10. Model 3 is a basic growth model that uses a dichotomized age term (1 = 10.5 yrs old, 0 = 4 to 7 yrs old). N = 1,311 observations from 384 children.

Model 1
Unconditional Model
Model 2
Basic Growth Curve
Model 3
Dichotomous Age10 Term
Estimate SE Estimate SE
Fixed Effects
Intercept 1.814*** 0.052 1.946** 0.304 1.781*** 0.099
Race (1=Caucasian) 0.071 0.107 0.070 0.108
Age -0.085 0.090 0.349*** 0.073
Age2 0.010 0.006
Sex (1 = Male) -0.920* 0.422 -0.144 0.103
Age by Sex 0.265* 0.127 -0.330** 0.102
Age2 by Sex -0.021* 0.008
Random Effects
Intercept 0.848** 0.074 1.050** 0.164 0.825*** 0.074
Age 0.011** 0.003 0.213** 0.079
Residual 0.539** 0.025 0.440** 0.025 0.474*** 0.027
ICC .61
Model Fit
REML Deviance 3608.6 3579.6 3559.3
AIC 3612.6 3587.6 3567.3
BIC (smaller is better) 3620.5 3603.4 3583.1
***

p < .001

**

p < .01

*

p < .05,

+

p < .10

Acronyms: REML = Restricted Maximum Likelihood; AIC = Akaike's information criterion; BIC = Bayesian information criterion; ICC = Intraclass correlation.

ICC was calculated as follows: Intercept random effect/(Intercept random effect + Residual Random Effect)