Table 5:

Summary of Hit and False Alarm Rates as a function of age and test session.

Age Group and Test Number				Estimate	SE	CI	p
	N subjects	N Tests	Hit Rate
4–6 months, first	20	78	Intercept*	0.73	0.04	0.65 – 0.8	<0.001
7–9 months, first	8	30	age group 7–9 mo	−0.11	0.07	− 0.24 – 0.03	0.112
7–9 months, second	18	84	age group 10–12 mo	−0.25	0.09	−0.43 – − .07	0.007*
7–9 months, third	1	1	Test number, 2nd	0.11	0.06	−0.02 – 0.24	0.10
10–12 months, first	1	1	Test number, 3rd	0.21	0.1	0.01 – 0.42	0.037*
10–12 months, second	8	18
10–12 months, third	7	25
	Hit Rate, %	FA Rate, %	False Alarm Rate
4–6 months, first	74	24	Intercept*	0.24	0.02	0.19 – 0.29	<0.001
7–9 months, first	62	14	age group 7–9 mo	−0.11	0.04	− 0.20 – −0.02	0.022*
7–9 months, second	74	24	age group 10–12 mo	−0.16	0.07	− 0.29 – −0.02	0.021*
7–9 months, third	75	0	Test number, 2nd	0.10	0.04	0.01 – 0.19	0.024*
10–12 months, first	57	0	Test number, 3rd	0.07	0.07	− 0.08 – 0.21	0.368
10–12 months, second	58	18
10–12 months, third	74	16

Part A summarizes the number of subjects and number of tests completed in each age group and the hit and false alarm rates for each grouping. Part B summarizes the results of the linear mixed model analyses of hit and false alarm rates as a function of age and test session. The regression model used age group and test session as fixed effects, with age group = 4–6 months, test session = first, and hit or false alarm rate = 0, with subject identifier as a random effect. S.E. = stanard error, CI = confidence interval. Significant effects are indicated with an asterisk.