TABLE 5.

Moderated-moderation regression coefficients and confidence intervals (CIs) for predicting HWI-WI.

Predictors	HWI-WI			HWI-WI
	b	95% CI1		b	95% CI
Dependent variables
I-Mot	1.33	[0.19, 4.73]*	E-Mot	1.35	[0.63, 2.06]***
Worker status2	4.69	[0.56, 8.82]*	Worker status	4.60	[2.50, 6.70]***
Country3	2.56	[−2.07, 6.79]	Country	1.89	[−0.45, 4.24]
INT1 (Mot × Status)	–0.67	[−1.56, 0.21]	INT1	–0.72	[−1.14, −0.29]**
INT2 (Mot × Country)	–0.33	[−1.37, 0.71]	INT2	–0.38	[−0.88, 0.11]
INT3 (Status × Country)	–2.32	[−4.74, 0.10]♢	INT3	–2.25	[−3.66, −0.84]**
INT4 (Mot × Status × Country)	0.34	[−0.23, 0.91]	INT4	0.36	[0.06, 0.67]*
Control variables
Gender	0.01	[0.19, 0.21]		–0.04	[−0.23, 0.14]
Age	–0.01	[−0.02, 0.01]		–0.01	[−0.02, 0.01]
Marital status	–0.20	[−0.43, 0.03]		–0.23	[−0.43, −0.02]*
Number of children	–0.13	[−0.22, −0.03]*		–0.09	[−0.18, −0.01]*
Tenure	–0.01	[−0.03, −0.01]		–0.01	[−0.02, 0.01]
Job position	0.27	[0.04, 0.50]*		0.21	[0.01, 0.42]*

^♢p < 0.01, *p < 0.05, **p < 0.01, ***p < 0.001. DV, dependent variable. HWI-WI, work intensity dimension of heavy work investment. 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).