Table 2.

Traditional ANOVA and GLM Models of Pause Duration in Seconds by Age in Years and Experimental Condition

	Main effects only
	ANOVA model (categorical age)						GLM model (continuous age)
Summary table							Summary table
Predictor	SS	df	MS	F	p	${\eta }_{\text{p}}^2$ [95% CI]	SS	df	MS	F	p	${\eta }_{\text{p}}^2$ [95% CI]
Age	123.75	4	30.94	1.59	.184	.06 [.00, .14]	138.98	1	138.98	7.41	.008	.07 [.01, .18]
Condition	44.57	1	44.57	2.86	.134	.02 [.00, .11]	48.51	1	48.51	2.59	.111	.03 [.00, .11]
Error	1852.83	95	19.50				1837.59	98	18.75
							Parameter estimates
								b	[95% CI]	SE	t	p
							Intercept	6.73	[5.52, 7.94]	0.60	11.07	< .001
							Age	1.02	[0.28, 1.76]	0.37	2.72	.008
							Condition	1.39	[−0.32, 3.10]	0.86	1.61	.111
	Main effects with interaction
	ANOVA model (categorical age)						GLM model (continuous age)
Summary table							Summary table
Predictor	SS	df	MS	F	p	${\eta }_{\text{p}}^2$ [95% CI]	SS	df	MS	F	p	${\eta }_{\text{p}}^2$ [95% CI]
Age	122.82	4	30.70	1.54	.197	.06 [.00, .14]	138.79	1	138.79	7.33	.008	.07 [.01, .18]
Condition	51.69	1	51.69	2.59	.111	.03 [.00, .12]	47.60	1	47.60	2.51	.116	.03 [.00, .11]
Interaction	38.94	4	9.74	0.49	.744	.02 [.00, .06]	1.21	1	1.21	0.06	.801	< .01 [.00, .04]
Error	1813.88	91	19.93				1836.38	97	18.93
							Parameter estimates
								b	[95% CI]	SE	t	p
							Intercept	6.74	[0.91, 7.47]	0.61	11.01	< .001
							Age	0.92	[−0.14, 1.98]	0.53	1.73	.087
							Condition	1.38	[−0.35, 3.10]	0.87	1.59	.116
							Interaction	0.19	[−1.30, 1.68]	0.75	0.25	.801

Note. F tests for model effects are based on Type III SS for all models. Age was centered by subtracting the mean age from all ages to facilitate interpretation. Condition is coded 0 = control, 1 = experimental.