. 2019 Aug 7;6(8):190097. doi: 10.1098/rsos.190097

Table 3.

GLMM testing successful learning within conditions over time including time, its linear, quadratic and cubic term. res = lmer(PTL_corr.mean (poly1 + poly2 + poly3) + object + label + z.TestAge + (1 + (poly1 + poly2 + poly3) | id), data = dadult_Inconsistent, REML = F, control = contr.

group	factor	estimates	s.e.	lower CI	upper CI	LRT	p
18 Consistent	intercept	0.16	0.27	−0.41	0.70	^a	^a
	poly1	0.13	0.15	−0.16	0.41	0.71	0.40
	poly2	0.15	0.09	−0.01	0.34	2.75	0.10
	poly3	0.06	0.07	−0.09	0.20	0.61	0.44
	object	0.04	0.01	0.02	0.06	12.94	<0.001
	label	0.04	0.01	0.02	0.06	14.40	<0.001
	z.TestAge	0.68	0.83	−1.03	2.33	0.53	0.47
18 Inconsistent	intercept	−0.09	0.13	−0.36	0.22	^a	^a
	poly1	0.06	0.15	−0.24	0.37	0.16	0.68
	poly2	0.03	0.08	−0.14	0.20	0.10	0.75
	poly3	0.06	0.07	−0.07	0.19	0.68	0.41
	object	0.04	0.01	0.02	0.06	17.19	<0.001
	label	−0.04	0.01	−0.06	−0.02	17.68	<0.001
	z.TestAge	−0.27	0.41	−1.12	0.66	0.42	0.52
30 Consistent	intercept	0.17	0.16	−0.16	0.50	^a	^a
	poly1	−0.00	0.13	−0.23	0.26	0.00	0.99
	poly2	−0.23	0.08	−0.38	−0.07	6.80	0.01
	poly3	−0.04	0.06	−0.16	0.09	0.33	0.56
	object	−0.02	0.01	−0.03	−0.00	4.12	0.04
	label	−0.04	0.01	−0.05	−0.02	21.04	<0.001
	z.TestAge	−0.17	0.37	-0.94	0.62	0.21	0.65
30 Inconsistent	intercept	−0.11	0.13	−0.35	0.14	^a	^a
	poly1	0.07	0.14	−0.21	0.32	0.23	0.63
	poly2	0.04	0.08	−0.13	0.20	0.21	0.65
	poly3	0.05	0.05	−0.05	0.16	0.90	0.34
	object	0.00	0.01	−0.02	0.02	0.01	0.92
	label	0.02	0.01	−0.00	0.04	3.34	0.07
	z.TestAge	0.29	0.29	−0.32	0.86	0.94	0.33
3–4 Consistent	intercept	0.31	0.20	−0.13	0.71	^a	^a
	poly1	0.36	0.14	0.08	0.61	5.92	0.01
	poly2	0.09	0.09	−0.08	0.27	0.98	0.32
	poly3	−0.13	0.07	−0.26	0.00	3.48	0.06
	object	0.02	0.01	0.00	0.04	5.07	0.02
	label	0.06	0.01	0.04	0.08	37.67	<0.001
	z.TestAge	−0.22	0.15	−0.52	0.11	1.67	0.20
3–4 Inconsistent	intercept	−0.07	0.17	−0.44	0.27	^a	^a
	poly1	−0.14	0.16	−0.45	0.17	0.83	0.36
	poly2	−0.13	0.10	−0.33	0.06	1.69	0.19
	poly3	0.05	0.06	−0.07	0.15	0.64	0.42
	object	0.07	0.01	0.05	0.09	43.65	<0.001
	label	0.03	0.01	0.01	0.05	10.48	<0.001
	z.TestAge	0.04	0.13	−0.22	0.32	0.08	0.77
adults Consistent	intercept	2.49	2.62	−2.91	8.07	^a	^a
	poly1	0.16	0.13	−0.09	0.42	1.50	0.22
	poly2	−0.17	0.07	−0.32	−0.03	5.59	0.02
	poly3	0.06	0.06	−0.05	0.17	1.28	0.26
	object	0.04	0.01	0.03	0.06	38.64	0.001
	label	−0.00	0.01	−0.02	0.01	0.14	0.70
	z.TestAge	1.64	1.86	−2.20	5.56	0.71	0.40
adults Inconsistent	intercept	−6.49	3.55	−14.20	1.22	^a	^a
	poly1	0.44	0.11	0.22	0.64	13.80	<0.001
	poly2	−0.26	0.08	−0.40	−0.11	9.79	<0.001
	poly3	0.05	0.05	−0.04	0.15	1.17	0.28
	object	0.02	0.01	0.01	0.04	9.29	<0.001
	label	−0.01	0.01	−0.02	0.00	1.99	0.16
	z.TestAge	−4.73	2.51	−10.13	0.71	2.76	0.10

^aNote that coefficients of interactions can only be interpreted in relation to the respective baseline levels of the interacting variables. Furthermore, the significance level of intercepts can only be interpreted in a meaningful way when effects on the intercept are tested. Thus, these values are not displayed here because of limited informativity.