Table 9 Hierarchical multiple regression...

Table 9

Hierarchical multiple regression model

Variable	B	Std. error β	t-value
Step 1
(Intercept)	6.80***	0.25	27.15
Gender	0.53*	0.24	2.25
Age	−0.18***	0.05	−3.30
Step 2
(Intercept)	5.93***	0.52	11.36
Gender	0.49*	0.24	2.08
Age	−0.14**	0.06	−2.55
Family	0.20^†	0.11	1.78
Income	0.04*	0.07	0.60
Step 3
(Intercept)	4.31***	0.55	7.80
Gender	0.28^†	0.22	1.26
Age	−0.10*	0.054	−1.86
Family	−0.15*	0.10	1.49
Income	0.01	0.06	0.15
Food leftovers	1.19***	0.10	11.27
Motivation	0.40***	0.09	4.09
Action	−0.45***	0.07	−6.57

Variable	B	Std. error β	t-value
Step 1
(Intercept)	6.80***	0.25	27.15
Gender	0.53*	0.24	2.25
Age	−0.18***	0.05	−3.30
Step 2
(Intercept)	5.93***	0.52	11.36
Gender	0.49*	0.24	2.08
Age	−0.14**	0.06	−2.55
Family	0.20^†	0.11	1.78
Income	0.04*	0.07	0.60
Step 3
(Intercept)	4.31***	0.55	7.80
Gender	0.28^†	0.22	1.26
Age	−0.10*	0.054	−1.86
Family	−0.15*	0.10	1.49
Income	0.01	0.06	0.15
Food leftovers	1.19***	0.10	11.27
Motivation	0.40***	0.09	4.09
Action	−0.45***	0.07	−6.57

Notes:

R² = 0.017 for Step 1 (p < 0.001); ΔR² = 0.10 for Step 2; R² = 0.20 for Step 2 (p < 0.001); ΔR² = 0.15 for Step 3; R² = 0.37 for Step 3 (p < 0.001); significance levels: ***p < 0; **p < 0.001; *p < 0.01; ^†p < 0.05

Source: Authors’ own work

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