Table 3 Descriptive statistics Mean SD...

Table 3

Descriptive statistics

	Mean	SD	Min	Max	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)	(15)
(1) Perc. quality	4.014	1.330	1.000	7.000	1.000
(2) Price	17.547	12.362	0.000	130.000	0.235^***	1.000
(3) Poor quality	–	–	0.000	1.000	−0.180^***	−0.055^**	1.000
(4) Offline context	–	–	0.000	1.000	0.138^***	0.004	−0.145^***	1.000
(5) Gender	–	–	1.000	3.000	0.033⁺	0.003	−0.013	0.038⁺	1.000
(6) Age	34.685	15.166	18.000	84.000	−0.090^***	−0.078^***	−0.009	0.107^***	−0.079^***	1.000
(7) Education	3.560	1.118	1.000	6.000	−0.048^*	0.021	−0.038⁺	0.035⁺	0.026	0.026	1.000
(8) Job position	–	–	0.000	8.000	−0.063^**	−0.038^*	0.035⁺	0.060^**	−0.018	0.473^***	0.087^***	1.000
(9) Children (dummy)	0.238	0.426	0.000	1.000	−0.033⁺	−0.014	0.041^*	0.035⁺	0.028	0.662^***	−0.025	0.343^***	1.000
(10) Hours online shop	0.944	1.201	0.000	10.000	0.085^***	0.102^***	−0.062^**	0.041^*	0.034⁺	−0.094^***	0.003	0.002	−0.010	1.000
(11) Online channel pref	2.753	0.950	1.000	5.000	0.016	0.001	−0.055^**	−0.029	−0.146^***	−0.182^***	0.139^***	−0.045^*	−0.133^***	0.289^***	1.000
(12) Family income	28568.58	29324.41	0.000	500,000.000	−0.020	−0.023	0.053^**	−0.041^*	−0.079^***	0.041^*	0.144^***	0.072^***	0.100^***	0.099^***	0.052^**	1.000
(13) Italian as primary	–	–	0.000	1.000	−0.087^***	−0.008	0.007	−0.074^***	−0.159^***	0.101^***	0.021	0.001	−0.003	−0.090^***	−0.011	−0.077^***	1.000
(14) Multiple prod. assessed	–	–	0.000	1.000	0.189^***	0.043^*	−0.122^***	−0.165^***	−0.090^***	−0.184^***	0.170^***	−0.074^***	−0.144^***	0.130^***	0.341^***	0.120^***	−0.103^***	1.000
(15) Prior prod. awareness	0.578	0.578	0.000	2.000	0.024	0.111^***	0.041^*	0.025	0.058^**	0.000	0.008	0.004	0.004	0.041^*	−0.027	−0.007	0.005	−0.092^***	1.000
(16) Prod. type	–	–	1.000	5.000	−0.064^***	−0.106^***	−0.072^***	−0.098^***	−0.053^**	−0.108^***	0.101^***	−0.044^*	−0.085^***	0.077^***	0.202^***	0.070^***	−0.061^**	0.591^***	−0.094^***

	Mean	SD	Min	Max	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)	(15)
(1) Perc. quality	4.014	1.330	1.000	7.000	1.000
(2) Price	17.547	12.362	0.000	130.000	0.235^***	1.000
(3) Poor quality	–	–	0.000	1.000	−0.180^***	−0.055^**	1.000
(4) Offline context	–	–	0.000	1.000	0.138^***	0.004	−0.145^***	1.000
(5) Gender	–	–	1.000	3.000	0.033⁺	0.003	−0.013	0.038⁺	1.000
(6) Age	34.685	15.166	18.000	84.000	−0.090^***	−0.078^***	−0.009	0.107^***	−0.079^***	1.000
(7) Education	3.560	1.118	1.000	6.000	−0.048^*	0.021	−0.038⁺	0.035⁺	0.026	0.026	1.000
(8) Job position	–	–	0.000	8.000	−0.063^**	−0.038^*	0.035⁺	0.060^**	−0.018	0.473^***	0.087^***	1.000
(9) Children (dummy)	0.238	0.426	0.000	1.000	−0.033⁺	−0.014	0.041^*	0.035⁺	0.028	0.662^***	−0.025	0.343^***	1.000
(10) Hours online shop	0.944	1.201	0.000	10.000	0.085^***	0.102^***	−0.062^**	0.041^*	0.034⁺	−0.094^***	0.003	0.002	−0.010	1.000
(11) Online channel pref	2.753	0.950	1.000	5.000	0.016	0.001	−0.055^**	−0.029	−0.146^***	−0.182^***	0.139^***	−0.045^*	−0.133^***	0.289^***	1.000
(12) Family income	28568.58	29324.41	0.000	500,000.000	−0.020	−0.023	0.053^**	−0.041^*	−0.079^***	0.041^*	0.144^***	0.072^***	0.100^***	0.099^***	0.052^**	1.000
(13) Italian as primary	–	–	0.000	1.000	−0.087^***	−0.008	0.007	−0.074^***	−0.159^***	0.101^***	0.021	0.001	−0.003	−0.090^***	−0.011	−0.077^***	1.000
(14) Multiple prod. assessed	–	–	0.000	1.000	0.189^***	0.043^*	−0.122^***	−0.165^***	−0.090^***	−0.184^***	0.170^***	−0.074^***	−0.144^***	0.130^***	0.341^***	0.120^***	−0.103^***	1.000
(15) Prior prod. awareness	0.578	0.578	0.000	2.000	0.024	0.111^***	0.041^*	0.025	0.058^**	0.000	0.008	0.004	0.004	0.041^*	−0.027	−0.007	0.005	−0.092^***	1.000
(16) Prod. type	–	–	1.000	5.000	−0.064^***	−0.106^***	−0.072^***	−0.098^***	−0.053^**	−0.108^***	0.101^***	−0.044^*	−0.085^***	0.077^***	0.202^***	0.070^***	−0.061^**	0.591^***	−0.094^***

Note(s): ⁺p < 0.10, ^*p < 0.05, ^**p < 0.01, ^***p < 0.001. Values are based on unstandardized variables. Means and SD of individual-level variables (i.e. 6, 7, 9–12) are computed without duplication to ensure an accurate representation of individual characteristics. However, in the database, a participant may have multiple entries when assessing multiple products, resulting in repeated information across observations

Source(s): Authors’ own elaboration

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