Table 3.

Hierarchical linear regression models with proportion of looking time to target post-naming (Model 1) and latency of gaze switch to target (Model 2) as dependent variables.

Model 1: Proportion of Looking Time to Target
Removed covariate		R2 = 0.389, F(2, 28) = 8.930, p = 0.001
		β		SE		T		P
Vocabulary size		0.327				2.035		0.052
Entered predictor variables
Mean postnatal depression		−0.677		0.006		−3.180		0.004 ***
Mean postnatal anxiety		0.076		0.004		0.358		0.723
Model 2: Latency of Gaze Switch to Target
Removed covariate	R2 = 0.286, F(2, 18) = 3.609, p = 0.048
	β		SE		T		P
Vocabulary size	−0.383		0.328		−1.798		0.090
Entered predictor variables
Mean postnatal depression	0.399		5.584		1.429		0.170
Mean postnatal anxiety	0.173		4.234		0.618		0.544

Note. β = standardized regression co-efficient; SE = standard error; T = test statistic; P = probability; Depression = CESD-R scores; Anxiety = STAI scores; *** p < 0.001