Table 3 Three separate models testing different social support types as moderators between AI chat type (independent variable) and occupational self-efficacy (dependent variable).

	Model 1 (informational support)				Model 2 (instrumental support)				Model 3 (emotional support)
	Estimate	95% CI	SE	β	Estimate	95% CI	SE	β	Estimate	95% CI	SE	β
Fixed effects
(Intercept)	3.10***	[2.88, 3.31]	0.11		3.09***	[2.87, 3.31]	0.11		3.13***	[2.92, 3.33]	0.10
Time point (pre/post)	0.05	[− 0.09, 0.19]	0.07	0.11	0.05	[− 0.09, 0.19]	0.07	0.12	0.08	[− 0.06, 0.22]	0.07	0.12
Chat type	− 0.11	[− 0.41, 0.19]	0.15	0.01	− 0.10	[− 0.40, 0.20]	0.15	0.02	− 0.17	[− 0.44, 0.11]	0.14	− 0.04
Social support	0.06	[− 0.12, 0.24]	0.09	0.20	0.02	[− 0.16, 0.21]	0.09	0.18	0.23*	[0.01, 0.45]	0.12	0.42
Chat type × social support	0.15	[− 0.12, 0.43]	0.14	0.07	0.22	[− 0.06, 0.49]	0.14	0.09	0.18	[− 0.14, 0.49]	0.16	0.03
Time point × chat type	0.24*	[0.05, 0.43]	0.10	0.08	0.25*	[0.06, 0.44]	0.10	0.08	0.21*	[0.02, 0.40]	0.10	0.07
Time point × social support	0.06	[− 0.05, 0.18]	0.06	0.01	0.07	[− 0.05, 0.19]	0.06	− 0.01	0.22**	[0.07, 0.37]	0.08	0.05
Time point × chat type × social support	− 0.10	[− 0.28, 0.07]	0.09	− 0.04	− 0.16	[− 0.34, 0.01]	0.09	− 0.06	− 0.24*	[− 0.46, − 0.03]	0.11	− 0.07
Random effects
Random intercept variance	0.47				0.47				0.39
Residual variance	0.12				0.12				0.12

All three models use Occupational Self-Efficacy as the dependent variable. The key difference across the models is the type of social support variable tested: Model 1 includes Informational Support, Model 2 includes Instrumental Support, and Model 3 includes Emotional Support. All other predictors and control variables remain the same across models.
CI confidence interval, SE standard error.
*p < .05, **p < .01, ***p < .001.

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