Table 2.

Regressions and Multi-level Models Predicting Subjective Well-being

Sample 1						95% CI
	b	SE	β	t	p	LB	UB
Intercept	4.79	.03		147.88	< .001	4.72	4.85
Age	.01	.003	.12	4.85	< .001	.01	.02
Gender	−.07	.03	−.05	−2.10	.04	−.13	−.004
Gratitude	.76	.04	.49	19.56	< .001	.69	.84
Age x Gratitude	.002	.003	.02	.59	.56	−.01	.01
Sample 2						95% CI
	b	SE	β	t	p	LB	UB	Fchange
Intercept	4.31	.01		345.66	< .001	4.28	4.33
Age	−.06	.01	−.05	−6.95	< .001	−.07	−.04	48.28
Gender	−.07	.01	−.04	−5.45	< .001	−.09	−.04	29.69
Gratitude	1.08	.02	.45	58.99	< .001	1.04	1.11	3479.80
Age x Gratitude	.003	.01	.002	.24	.81	−.02	.03	.06
Sample 3						95% CI
	b	SE	β	t	p	LB	UB
Intercept	4.52	.05		91.17	< .001	4.42	4.62
Age	−.003	.001	−.04	−2.19	.03	−.01	−.0003
Gender	−.06	.02	−.06	−3.32	.001	−.10	−.03
Gratitude	.67	.02	.65	40.15	< .001	.63	.70
Age x Gratitude	.002	.001	.03	2.25	.02	.0003	.005

Note. Gender: −1 = Men; 1 = Women