Table 2.

Experiment 1 Growth Curve Model

	b	SE	df	χ2	95% CI
Intercept	−1.35	0.02	1	249.52***	[−1.39, −1.32]
ot1	−1.36	0.06	1	129.65***	[−1.47, −1.24]
ot2	0.17	0.05	1	9.56**	[0.07, 0.27]
ot3	0.22	0.03	1	32.31***	[0.15, 0.28]
Image	0.07	0.03	1	5.33*	[0.01, 0.13]
ot1 x Image	−0.21	0.14	1	2.32	[−0.47, 0.08]
ot2 x Image	0.19	0.12	1	2.42	[−0.06, 0.43]
ot3 x Image	0.14	0.10	1	2.11	[−0.04, 0.32]
Group	0.05	0.04	1	1.51	[−0.03, 0.12]
ot1 x Group	0.01	0.11	1	0.00	[−0.21, 0.21]
ot2 x Group	−0.20	0.11	1	3.45	[−0.41, −0.02]
ot3 x Group	0.06	0.06	1	0.96	[−0.07, 0.18]
Image x Group	0.04	0.06	1	0.37	[−0.07, 0.16]
ot1 x Image x Group	0.04	0.27	1	0.02	[−0.50, 0.55]
ot2 x Image x Group	0.23	0.25	1	0.87	[−0.29, 0.69]
ot3 x Image x Group	−0.33	0.19	1	3.04	[−0.70, 0.07]

Note. ot1=linear orthogonal time, ot2 = quadratic orthogonal time, ot3= cubic orthogonal time, χ² represents likelihood ratio test for each fixed effect compared to the full model. The syntax of the R-code for the fixed and random effects of the model is: Elog~ (ot1 + ot2 + ot3) * Image * Group + ((ot1+ot2+ot3) * Image | | Participant).

^*p<.05,

^**p<.01,

^***p<.001