Respondent profile (silver: 173, X: 201 and Y: 221)
| Cases (%) | |||
|---|---|---|---|
| Variable | Silver | X | Y |
| Gender | |||
| Male | 101 (58.3) | 144 (71.6) | 131 (59.2) |
| Female | 72 (41.6) | 57 (28.3) | 90 (40.7) |
| Age | |||
| 25–29 | – | – | 166 (75.1) |
| 30–34 | – | – | 55 (24.8) |
| 35–40 | – | 119 (59.2) | – |
| 41–49 | – | 82 (40.8) | – |
| 50–Above | 173 (100) | – | |
| Education | |||
| High school | 97 (56.0) | 13 (6.4) | 3 (1.3) |
| Undergraduate degree | 68 (39.3) | 141 (70.1) | 165 (74.6) |
| Master degree | 7 (4.0) | 44 (21.8) | 50 (22.6) |
| PhD degree | 1 (0.5) | 3 (1.4) | 3 (1.3) |
| Occupation | |||
| Student | – | – | 21 (9.5) |
| Job | 153 (88.4) | 188 (93.5) | 191 (86.4) |
| Business | 20 (11.5) | 13 (6.4) | 9 (4.0) |
| Income per month (RMB) | |||
| <4,999 | 33 (19.0) | 17 (8.4) | 3 (1.3) |
| 5,000–14,999 | 39 (22.5) | 37 (18.4) | 70 (31.6) |
| 15,000–24,999 | 38 (21.9) | 44 (21.8) | 88 (39.8) |
| 25,000–34,999 | 26 (15.0) | 55 (27.3) | 44 (19.9) |
| >35,000 | 37 (21.3) | 48 (23.8) | 16 (7.2) |
| Cases (%) | |||
|---|---|---|---|
| Variable | Silver | X | Y |
| Male | 101 (58.3) | 144 (71.6) | 131 (59.2) |
| Female | 72 (41.6) | 57 (28.3) | 90 (40.7) |
| 25–29 | – | – | 166 (75.1) |
| 30–34 | – | – | 55 (24.8) |
| 35–40 | – | 119 (59.2) | – |
| 41–49 | – | 82 (40.8) | – |
| 50–Above | 173 (100) | – | |
| High school | 97 (56.0) | 13 (6.4) | 3 (1.3) |
| Undergraduate degree | 68 (39.3) | 141 (70.1) | 165 (74.6) |
| Master degree | 7 (4.0) | 44 (21.8) | 50 (22.6) |
| PhD degree | 1 (0.5) | 3 (1.4) | 3 (1.3) |
| Student | – | – | 21 (9.5) |
| Job | 153 (88.4) | 188 (93.5) | 191 (86.4) |
| Business | 20 (11.5) | 13 (6.4) | 9 (4.0) |
| <4,999 | 33 (19.0) | 17 (8.4) | 3 (1.3) |
| 5,000–14,999 | 39 (22.5) | 37 (18.4) | 70 (31.6) |
| 15,000–24,999 | 38 (21.9) | 44 (21.8) | 88 (39.8) |
| 25,000–34,999 | 26 (15.0) | 55 (27.3) | 44 (19.9) |
| >35,000 | 37 (21.3) | 48 (23.8) | 16 (7.2) |
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