Table 3.

Binary logistical regression “country and gender” predicting percentage of compensatory buying

Variable	B	SE	OR	95% CI	Wald statistic	p
Country (1) by gender (1)	-0.40	0.65	0.67	[0.19, 2.39]	0.38	.539
Country (1)	-0.69	0.32	0.50	[0.27, 0.94]	4.58	.032
Gender (1)	1.34	0.33	3.82	[2.01, 7.28]	16.62	<.001
Available Money (cov)	0.30	0.16	1.34	[0.98, 1.84]	3.38	.066

Note: For country Turkey was chosen as reference category (Turkey = 1; Greece = 2); for gender male was chosen as reference category (males = 1; females = 2); available money was entered as a continuous variable.