The participants' profile
| Study 1 | Study 2 | |||
|---|---|---|---|---|
| Variable | n | % | n | % |
| Gender | ||||
| Male | 29 | 13.60 | 27 | 10.90 |
| Female | 184 | 86.40 | 220 | 89.10 |
| Education | ||||
| High school | 18 | 8.50 | 24 | 9.72 |
| Bachelor's degree | 123 | 57.70 | 169 | 68.42 |
| Graduate degree | 72 | 33.80 | 54 | 21.86 |
| Occupation | ||||
| Student | 81 | 38.00 | 87 | 35.22 |
| Householder | 17 | 8.00 | 25 | 10.12 |
| Employee | 101 | 47.40 | 99 | 40.08 |
| Other | 14 | 6.60 | 36 | 14.58 |
| Monthly income (NTD)* | ||||
| Under 10,000 | 68 | 31.90 | 69 | 27.90 |
| 10,001–20,000 | 33 | 15.50 | 51 | 20.60 |
| 20,001–40,000 | 28 | 13.10 | 60 | 24.30 |
| Above 40,000 | 84 | 39.50 | 67 | 27.20 |
| Apps usage experience | ||||
| New users | 70 | 32.90 | 82 | 33.20 |
| Experienced users | 143 | 67.10 | 165 | 66.80 |
| Study 1 | Study 2 | |||
|---|---|---|---|---|
| Variable | ||||
| Gender | ||||
| Male | 29 | 13.60 | 27 | 10.90 |
| Female | 184 | 86.40 | 220 | 89.10 |
| Education | ||||
| High school | 18 | 8.50 | 24 | 9.72 |
| Bachelor's degree | 123 | 57.70 | 169 | 68.42 |
| Graduate degree | 72 | 33.80 | 54 | 21.86 |
| Occupation | ||||
| Student | 81 | 38.00 | 87 | 35.22 |
| Householder | 17 | 8.00 | 25 | 10.12 |
| Employee | 101 | 47.40 | 99 | 40.08 |
| Other | 14 | 6.60 | 36 | 14.58 |
| Monthly income (NTD)* | ||||
| Under 10,000 | 68 | 31.90 | 69 | 27.90 |
| 10,001–20,000 | 33 | 15.50 | 51 | 20.60 |
| 20,001–40,000 | 28 | 13.10 | 60 | 24.30 |
| Above 40,000 | 84 | 39.50 | 67 | 27.20 |
| Apps usage experience | ||||
| New users | 70 | 32.90 | 82 | 33.20 |
| Experienced users | 143 | 67.10 | 165 | 66.80 |
Note(s): *NTD: new Taiwan dollar; 1 USD ≈32.45 NTD
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