Table 2.

Hierarchical multiple regression analysis predicting satisfaction with life (SWLS) – model 1: four predictors

Predictor variable	ΔR2	AIC	BIC	B [95% CI]	β	t	p
Step 1	.21***	8.12	18.21
Constant				2.68 [1.83, 3.53]
Positive affect				0.64 [0.43, 0.85]	.38	5.93	< .001
Negative affect				−0.25 [−0.42, −0.08]	−.18	−2.86	.005
Step 2	.02*	5.50	18.95
Constant				3.54 [2.38, 4.69]
Positive affect				0.51 [0.26, 0.75]	.30	4.07	< .001
Negative affect				−0.18 [−0.36, 0.01]	−.13	−1.95	.053
Dysthymia				−0.33 [−0.63, −0.03]	−.17	−2.14	.033
Step 3	.04***	−4.08	12.73
Constant				1.82 [0.31, 3.32]
Positive affect				0.38 [0.13, 0.63]	.22	2.97	.003
Negative affect				−0.10 [−0.28, 0.09]	−.07	−1.02	.309
Dysthymia				−0.09 [−0.42, 0.23]	−.05	−0.56	.573
Euthymia				0.54 [0.23, 0.85]	.29	3.41	.001
Total R2	.25***

Note. AIC – Akaike information criterion, BIC – Bayesian information criterion; *p < .05; ***p < .001.