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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Dev Cogn Neurosci. 2017 Jul 24;30:304–313. doi: 10.1016/j.dcn.2017.07.005

Table 4.

Estimates of Fixed Effects, Random Effects, and Goodness of Fit for Cubic Growth Models Using Group, SES, Parent Number Word Input, and Parent Other Word Input to Predict Intercept and Change in Children’s Point-to-X Performance (n = 91)

Unconditional model Adding group, SES Adding SES, number word input, other word input
Model 1 Model 2 Model 3
Fixed Effects
 Intercept 12.19*** (.27) 12.71*** (.30) 12.47*** (.31)
 Linear Change .28*** (.03) .32*** (.04) .31*** (.04)
 Group −1.00~ (.58) −1.43** (.51)
 Group × Age −.13~ (.07) −0.13~ (.07)
 SES .84*** (.25) .52* (.23)
 SES × Age −.08** (.03) −0.08** (.03)
 Number word input .01* (.01)
 Number word input × Age .00005 (.001)
 Other word input .0005** (.0002)
 Other word input × Age .00001 (.00002)
Random effects
Level 2
 Intercept 5.78*** (2.40) 4.82*** (2.20) 3.95*** (1.99)
 Linear Change 0.01 (.11) .02 (.12) .02 (.15)
 Goodness of fit −2 log likelihood 1211.46 (4) 1124.60 (4) 1160.67 (4)

Note. SES = socioeconomic status.

~

p < .10.

*

p < .05.

**

p < .01.

***

p < .001