Table 6.
Differences in demographic variables across the profiles (Cross-tab with Pearson Chi-square).
1 Apathetic consumer n = 118 |
2 Rational consumer n = 100 |
3 Balanced consumer n = 505 |
4 Enthusiastic consumer n = 300 |
χ2-test (sig.)/F-test (sig.) | p Value | ||
---|---|---|---|---|---|---|---|
Gender | Male | 45(38.1%)a | 38(38.0%)a | 213(42.2%)a | 100(33.3%)a | χ2 (3) = 6.25 | 0.10 |
Female | 73(61.9%)a | 62(62.0%)a | 292(57.8%)a | 200(66.7%)a | |||
Age | 30.3ab | 30.6ab | 30.53a | 28.58b | F(3, 1,019) = 3.04* | 0.03 | |
Education | High school or lower | 17(14.4%)a | 4(4.0%)ab | 48(9.5%)ab | 19(6.3%)b | χ2 (9) = 63.52*** | p < 0.001 |
Junior college | 8(6.8%)ab | 3(3.0%)b | 30(5.9%)b | 44(14.7%)a | |||
Bachelor degree | 71(60.2%)a | 52(52.0%)a | 313(62.0%)a | 199(66.3%)a | |||
Postgraduate or above | 22(18.6%)ab | 41(41.0%)a | 114(22.6%)b | 38(12.7%)c | |||
Disposable income (1,000RMB/Month) |
< 3 | 44(37.3%)a | 35(35.0%)a | 193(38.2%)a | 113(37.7%)a | χ2 (12) = 16.38 | 0.17 |
3–5 | 27(22.9%)a | 16(16.0%)a | 95(18.8%)a | 70(23.3%)a | |||
5–8 | 24(20.3%)a | 22(22.0%)a | 81(16.0%)a | 48(16.0%)a | |||
8–10 | 8 (6.8%)a | 11(11.0%)a | 51(10.1%)a | 39(13.0%)a | |||
>10 | 15(12.7%)ab | 16(16.0%)ab | 85(16.8%)b | 30(10.0%)a | |||
Occupation | Civil servants or Staff of public institution | 14(11.9%)a | 10(10.0%)a | 69(13.7%)a | 46(15.3%)a | χ2 (24) = 27.05 | 0.30 |
Professionals | 9(7.6%)a | 13(13.0%)a | 61(12.1%)a | 38(12.7%)a | |||
White-collar worker | 39(33.7%)a | 31(31.0%)a | 139(27.5%)a | 83(27.7%)a | |||
Service personnel | 6(5.1%)a | 2(2.0%)a | 11(2.2%)a | 6(2.0%)a | |||
Free-lancers | 2(1.7%)ab | 5(5.0%)ab | 22(4.4%)b | 8(2.7%)a | |||
Blue-collar workers | 2(1.7%)a | 3(3.0%)a | 7(1.4%)a | 10(3.3%)a | |||
Students | 36(30.5%)a | 29(29.0%)a | 154(30.5%)a | 95(31.7%)a | |||
Housewives | 2(1.7%)a | 1(1.0%)a | 11(2.2%)a | 9 (3.0%)a | |||
Others | 8(6.8%)ab | 6(6.0%)ab | 31(6.1%)a | 5(1.7%)b | |||
Consumer contexts | Food | 27(22.9%)a | 24(24.0%)a | 99(19.6%)a | 61(20.3%)a | χ2 (12) = 45.21*** | p < 0.001 |
Clothes | 21(17.8%)b | 36(36.0%)a | 83(16.4%)b | 67(22.3%)b | |||
Entertainment | 25(21.2%)a | 22(22.0%)a | 113(22.4%)a | 53(17.7%)a | |||
Travel | 31(26.3%)a | 10(10.0%)b | 89(17.6%)ab | 65(21.7%)ab | |||
Accommodations | 14(11.9%)ab | 8(8.0%)b | 121(24.0%)a | 54(18.0%)ab |
p < 0.05 and
p < 0.001.
Different letters represent significant difference (p < 0.05).