Data description (N = 450)
| Variables | Mean | Median | SD | Min | Max |
|---|---|---|---|---|---|
| Gender (Male = 1) | 0.62 | 1 | 0.49 | 0 | 1 |
| Education | 3.05 | 3 | 0.42 | 1 | 4 |
| Age | 2.75 | 3 | 0.99 | 1 | 4 |
| Marital status (Married = 1) | 0.38 | 0 | 0.49 | 0 | 1 |
| Work experience | 1.64 | 1 | 1.05 | 1 | 5 |
| Technology-related traits (Explorer trait = 1) | 1.76 | 1 | 1.02 | 1 | 4 |
| Fintech usage | 3.14 | 3 | 1.47 | 1 | 5 |
| Income levels | 2.50 | 3 | 0.82 | 1 | 3 |
| Financial literacy | 9.55 | 10 | 3.33 | 0 | 15 |
| Basic financial literacy | 9.62 | 10 | 4.39 | 0 | 15 |
| Advanced financial literacy | 9.53 | 10 | 3.45 | 0 | 15 |
| Variables | Mean | Median | SD | Min | Max |
|---|---|---|---|---|---|
| Gender (Male = 1) | 0.62 | 1 | 0.49 | 0 | 1 |
| Education | 3.05 | 3 | 0.42 | 1 | 4 |
| Age | 2.75 | 3 | 0.99 | 1 | 4 |
| Marital status (Married = 1) | 0.38 | 0 | 0.49 | 0 | 1 |
| Work experience | 1.64 | 1 | 1.05 | 1 | 5 |
| Technology-related traits (Explorer trait = 1) | 1.76 | 1 | 1.02 | 1 | 4 |
| Fintech usage | 3.14 | 3 | 1.47 | 1 | 5 |
| Income levels | 2.50 | 3 | 0.82 | 1 | 3 |
| Financial literacy | 9.55 | 10 | 3.33 | 0 | 15 |
| Basic financial literacy | 9.62 | 10 | 4.39 | 0 | 15 |
| Advanced financial literacy | 9.53 | 10 | 3.45 | 0 | 15 |
Source(s): Authors’ own work