Table 2.

1-1-1 multilevel mediation model testing the mediation effect of expectancy and value in the association between perceived choice of self-control and self-control success.

Parameters	Estimate	SE	95% CI
Between level
Intercept	4.67*	2.01	[0.73, 8.61]
Path ab1	−0.46	0.28	[−1.00, 0.08]
Path ab2	−0.23	0.30	[−0.78, 0.33]
Path bb1	0.08	0.24	[−0.40, 0.55]
Path bb2	0.00	0.22	[−0.43, 0.43]
Indirect effect 1	−0.13	0.16	[−0.43, 0.18]
Indirect effect 2	−0.02	0.07	[−0.17, 0.12]
Direct effect	−0.78*	0.36	[−1.50,-0.08]
Total effect	0.04	0.14	[−0.23, 0.32]
Residual variance success	3.28***	0.81	[1.70, 4.86]
Residual variance expectancy	2.29***	0.61	[1.09, 3.49]
Residual variance value	2.43***	0.65	[1.25, 3.62]
Within level
Path aw1	0.23***	0.05	[0.13, 0.32]
Path aw2	0.14**	0.04	[0.06, 0.22]
Path bw1	0.46***	0.05	[0.36, 0.55]
Path bw2	0.28***	0.04	[0.19, 0.36]
Indirect effect 1	0.12***	0.03	[0.06, 0.18]
Indirect effect 2	0.06*	0.02	[0.01, 0.10]
Direct effect	0.01	0.01	[−0.04, 0.05]
Total effect	0.14***	0.03	[0.08, 0.21]
Residual variance success	0.71***	0.08	[0.55, 0.88]
Residual variance expectancy	1.24***	0.12	[1.00, 1.49]
Residual variance value	1.20***	0.13	[0.95, 1.44]

Model is a random slopes model. Path a_b1/w1= Autonomy → Expected ability to sustain self-control. Path a_b2/w2 = Autonomy → Value of overall performance. Path b_b1/bw1 = Expected ability to sustain self-control → Self-control success. Path b_b2/bw2 = Value of overall performance → Self-control success. Indirect effect 1: Autonomy → Expected ability to sustain self-control → Self-control success. Indirect effect 2: Autonomy → Value of overall performance → Self-control success.

^*p < 0.05,

^**p < 0.01,

^***p < 0.001.