TABLE 6.

Moderated-moderation regression coefficients and confidence intervals (CIs) for predicting job engagement (JE).

Predictors	JE		Predictors	JE
	b	95% CI1		b	95% CI
Dependent variables
I-Mot	3.53	[2.21, 4.86]***	E-Mot	1.95	[1.41, 2.50]***
Worker status2	7.20	[3.79, 10.60]***	Worker status	3.90	[2.12, 5.68]***
Country3	7.72	[4.30, 11.42]***	Country	2.82	[1.10, 4.55]**
INT1 (Mot × Status)	–1.43	[−2.19, −0.68]***	INT1	–0.78	[−1.14, −0.42]***
INT2 (Mot × Country)	–1.50	[−2.39, −0.62]***	INT2	–0.54	[−0.90, −0.17]**
INT3 (Status × Country)	–3.81	[−5.94, −1.69]***	INT3	–1.82	[−2.97, −0.68]**
INT4 (Mot × Status × Country)	0.78	[0.26, 1.30]**	INT4	0.36	[0.12, 0.60]**
Control variables
Gender	0.20	[−0.01, 0.40]		0.07	[−0.09, 0.23]
Age	–0.01	[−0.03, 0.01]		–0.02	[−0.03, −0.01]**
Marital status	–0.17	[−0.41, 0.06]		–0.22	[−0.40, −0.04]*
Number of children	0.01	[−0.11, 0.09]		0.05	[−0.02, 0.13]
Tenure	–0.01	[−0.03, 0.01]		–0.01	[−0.03, −0.01]*
Job position	0.42	[0.18, 0.65]***		0.33	[0.16, 0.51]***

*p < 0.05, **p < 0.01, ***p < 0.001. DV, dependent variable. JE, job engagement. Mot, motivation. I-Mot, intrinsic motivation. E-Mot, extrinsic motivation. INT, interaction effect. ¹95% CI with 5,000 resampling via bias-corrected bootstrapping. ²Worker status (1 = working student, 2 = non-student employee). ³Country (1 = Israel, 2 = Japan).