Table 6.

Partial Cohen's d and partial eta (η) effect sizes for fixed effects in the final conditional growth models.

Parameter	Missing Do		Ungrammatical Lex		Ungrammatical Do + Lex		Double Tense
	Total R2 = .174		Total R2 = .181		Total R2 = .214		Total R2 = .241
	d	η	d	η	d	η	d	η
Linear age slope	0.59	.28	0.40	.20	0.62	.30	0.94	.42
Quad age slope	−0.96	−.43	−0.40	−.20	−1.28	−.54	−0.25	−.13
Linear age cohort	0.37	.18	0.31	.15	0.35	.17	−0.06	−.03
Quad age cohort							0.25	.12
SLI on int	−0.63	−.30	−0.58	−.28	−0.62	−.30	−0.89	−.41
SLI on slope	0.09	.04	0.11	.05	0.24	.12	−0.17	−.09
SLI on quad			−0.12	−.06
NVIQ on int	0.26	.13	0.36	.18	0.37	.18	0.20	.10
NVIQ on slope	0.13	.07	0.09	.04	0.00	.00	0.17	.09
NVIQ on quad			−0.31	−.15
M-Ed on int	0.50	.24	0.22	.11	0.43	.21	0.45	.22
M-Ed on slope	0.11	.05	0.11	.06	0.00	.00	0.23	.12
M-Ed on quad			0.06	.03
BvG on int	−0.14	−.07	0.07	.03	−0.15	−.07	−0.13	−.06
BvG on slope	−0.24	−.12	−0.11	−.05	−0.24	−.12	−0.12	−.06
BvG on quad			−0.02	−.01

Note. Effects sizes shown in bold indicate significant fixed effects at p < .01 in the final models. “Partial” refers to the unique contribution of each predictor after controlling for its overlap with other predictors in the model. Blank cells indicate effects not included in a model due to nonsignificance. Quad = quadratic; SLI = specific language impairment: unaffected (coded as 0) versus SLI affected (coded as 1); int = intercept; NVIQ = nonverbal IQ; M-Ed = maternal education; BvG = boys (coded as 0) versus girls (coded as 1).