Table 4.

Linear mixed-effects models assessing moderating role of WM networks and behavioral accuracy on the relationship between image intensity and acceptance strategy use

Model	Variable	(SE)	t-value	P-value	95% CI, LB, UB
Acceptance strategy use ∼ combined-WM + image intensity + combined-WM × image intensity	Intercept	64.66 (2.93)	22.04	<0.001***	58.94, 70.38
	Image intensity	−9.86 (4.01)	−2.46	0.016*	−17.71, −2.00
	Combined-WM	−85.13 (70.80)	−1.20	0.231	−223.20, 52.93
	Combined-WM × image intensity	102.75 (96.75)	1.06	0.291	−86.78, 292.28
Acceptance strategy use ∼ low-WM + image intensity + low-WM× image intensity	Intercept	64.66 (2.94)	22.03	<0.001***	58.94, 70.39
	Image intensity	−9.86 (4.02)	−2.45	0.016*	−17.74, −1.97
	Low-WM	141.71 (127.46)	1.11	0.268	−106.84, 390.25
	Low-WM × image intensity	−108.09 (174.71)	−0.62	0.538	−450.36, 234.19
Acceptance strategy use ∼ high-WM + image intensity + high-WM× image intensity	Intercept	64.66 (2.94)	22.02	<0.001***	58.94, 70.39
	Image intensity	−9.86 (4.01)	−2.46	0.016*	−17.71, −2.00
	High-WM	−92.49 (105.97)	−0.87	0.384	−299.14, 114.16
	High-WM × image intensity	155.10 (144.65)	1.07	0.286	−128.29, 438.48
Acceptance strategy use ∼ average 2-back accuracy + image intensity + average 2-back accuracy × image intensity	Intercept	64.66 (2.91)	22.23	<0.001***	58.99, 70.33
	Image intensity	−9.86 (3.94)	−2.50	0.014*	−17.58, −2.13
	Average 2-back accuracy	−24.81 (30.97)	−0.80	0.424	−85.21, 35.59
	Average 2-back accuracy × image intensity	90.03 (41.99)	2.14	0.034*	7.77, 172.29

Notes: Each linear mixed-effects model was conducted using N = 104 participants. Image intensity is dummy-coded, and WM network strength and the average 2-back accuracy scores are grand mean-centered. For each model, displayed regression coefficients are unstandardized. LB: lower bound; UB: upper bound.

^* P < 0.05.

^** P < 0.01.

^*** P < 0.001.