Table 6.
Results of one-factorial ANOVA.
| Variables | Highest degree | Gender | Age group | Primary area of expertise | Role in app development | |
|---|---|---|---|---|---|---|
| Development methodology | F (df) | F (3) = 0.326 | F (1) = 0.005 | F (3) = 0.611 | F (4) = 3.311 | F (3) = 0.611 |
| P | P = .807 | P = .946 | P = .627 | P = .080 | P = .627 | |
| Testing | F (df) | F (3) = 0.539 | F (1) = 8.219 | F (3) = 0.461 | F (4) = 3.677 | F (3) = 0.231 |
| P | P = .669 | P = .017 | P = .717 | P = .604 | P = .873 | |
| Stakeholder analysis | F (df) | F (3) = 0.408 | F (1) = 0.043 | F (3) = 0.966 | F (4) = 1.045 | F (3) = 0.848 |
| P | P = .752 | P = .840 | P = .460 | P = .457 | P = .510 | |
| Security measures | F (df) | F (3) = 0.459 | F (1) = 0.306 | F (3) = 3.759 | F (4) = 1.473 | F (3) = 1.189 |
| P | P = .718 | P = .592 | P = .060 | P = .307 | P = .374 | |
| Open-source software | F (df) | F (3) = 0.765 | F (1) = 0.938 | F (3) = 1.500 | F (4) = 0.438 | F (3) = 0.458 |
| P | P = .545 | P = .356 | P = .287 | P = .779 | P = .719 | |
| Source code management | F (df) | F (3) = 4.000 | F (1) = 0.057 | F (3) = 1.037 | F (4) = 1.167 | F (3) = 4.000 |
| P | P = .052 | P = .815 | P = .427 | P = .402 | P = .052 | |
| Deployment | F (df) | F (3) = 0.574 | F (1) = 0.380 | F (3) = 0.257 | F (4) = 0.379 | F (3) = 0.626 |
| P | P = .648 | P = .552 | P = .854 | P = .817 | P = .618 | |
| Publication/marketing | F (df) | F (3) = 4.556 | F (1) = 1.886 | F (3) = 2.492 | F (4) = 0.548 | F (3) = 1.956 |
| P | P = .038 | P = .200 | P = .134 | P = .707 | P = .199 |