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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Neuropsychologia. 2016 May 19;98:13–23. doi: 10.1016/j.neuropsychologia.2016.05.018

Table 1.

Estimates of fixed effects, random effects, and goodness of fit for cubic growth models using parent SES, and parent word types to predict intercept and change in children’s cumulative vocabulary.

Parameter Estimate (SD)
Model 1 (Cubic) Model 2 (Adding SES) Model 3 (Adding Input)
Fixed Effects
Intercept 470.29***
(33.44)
470.28***
(32.25)
470.28***
(32.91)
Linear change 26.52*** (1.36) 26.52*** (1.19) 26.56*** (1.21)
Quadratic change 0.07 (0.04) 0.06 (0.04) 0.07 (0.05)
Cubic change −0.01*** (0.01) −0.01*** (0.01) −0.01*** (0.01)
SES 50.27 (33.18) 65.64 (42.40)
SES × Age 3.06** (1.17) 3.62** (1.50)
SES × Age2 0.06 (0.05) 0.03 (0.06)
Input −0.16 (0.27)
Input × Age −0.01 (0.01)
Input × Age2 0.01 (0.01)
Random effects
Level 2
Intercept 20,059***
(141.63)
18,635.98***
(136.51)
19,410.39***
(139.32)
Linear change 30.87*** (5.56) 22.89*** (4.78) 23.83 (4.88)
Quadratic change 0.04*** (0.19) 0.03*** (0.19) 0.04*** (0.19)
Goodness of fit
Deviance (−2LL) 2217.41 (7) 2197.53 (7) 2227.87 (7)
*

p<.05,

**

p<.01,

***

p<.001