| Factor 1 | Factor 2 | Factor 3 | Factor 4 | Factor 5 |
---|
Age |
Pearson correlation | 0.083 | 0.196* | 0.050 | − 0.200* | − 0.179 |
95% CI interval | (− 0.109, 0.269) | (0.022, 0.359) | (− 0.126, 0.223) | (− 0.363, − 0.025) | (− 0.343, − 0.005) |
Sample size | 122 | 126 | 126 | 125 | 127 |
Inclination to change |
Pearson correlation | − 0.398** | − 0.022 | − 0.179* | 0.008 | 0.117 |
95% CI interval | (− 0.537, − 0.238) | (− 0.195, 0.153) | (− 0.343, − 0.005) | (− 0.167, 0.183) | (− 0.058, 0.285) |
Sample size | 123 | 127 | 127 | 126 | 128 |
Education*gender |
F-value | 0.758 | 1.915 | 2.156 | 0.325 | 1.481 |
df effect, df error | 4, 108 | 4, 112 | 4, 112 | 4, 112 | 4, 113 |
Education |
F-value | 6.99* | 0.489 | 0.274 | 1.006 | 1.257 |
df effect, df error | 4, 4 | 4, 4 | 4, 4 | 4, 4 | 4, 4 |
Gender |
F-value | 5.12 | 0.649 | 1.300 | 3.528 | 2.338 |
df effect, df error | 1, 15.72 | 1, 6.915 | 1, 6.599 | 1, 29.931 | 1, 8.028 |
- *p < 0.05 (2-tailed); **p < 0.01 (2-tailed)