Multivariate Testsa | ||||||||||
Effect |
| Value | F | Hypothesis df | Error df | Sig. | Partial Eta Squared | Noncent. Parameter | Observed Powerd | |
Intercept | Pillai’s Trace | 0.326 | 10.988b | 4.000 | 91.000 | 0.000 | 0.326 | 43.951 | 1.000 | |
| Wilks’ Lambda | 0.674 | 10.988b | 4.000 | 91.000 | 0.000 | 0.326 | 43.951 | 1.000 | |
| Hotelling’s Trace | 0.483 | 10.988b | 4.000 | 91.000 | 0.000 | 0.326 | 43.951 | 1.000 | |
| Roy’s Largest Root | 0.483 | 10.988b | 4.000 | 91.000 | 0.000 | 0.326 | 43.951 | 1.000 | |
DASST | Pillai’s Trace | 0.050 | 1.198b | 4.000 | 91.000 | 0.317 | 0.050 | 4.791 | 0.362 | |
| Wilks’ Lambda | 0.950 | 1.198b | 4.000 | 91.000 | 0.317 | 0.050 | 4.791 | 0.362 | |
| Hotelling’s Trace | 0.053 | 1.198b | 4.000 | 91.000 | 0.317 | 0.050 | 4.791 | 0.362 | |
| Roy’s Largest Root | 0.053 | 1.198b | 4.000 | 91.000 | 0.317 | 0.050 | 4.791 | 0.362 | |
resilience_tot | Pillai’s Trace | 0.086 | 2.129b | 4.000 | 91.000 | 0.084 | 0.086 | 8.515 | 0.610 | |
| Wilks’ Lambda | 0.914 | 2.129b | 4.000 | 91.000 | 0.084 | 0.086 | 8.515 | 0.610 | |
| Hotelling’s Trace | 0.094 | 2.129b | 4.000 | 91.000 | 0.084 | 0.086 | 8.515 | 0.610 | |
| Roy’s Largest Root | 0.094 | 2.129b | 4.000 | 91.000 | 0.084 | 0.086 | 8.515 | 0.610 | |
Pwitot | Pillai’s Trace | 0.009 | 0.208b | 4.000 | 91.000 | 0.934 | 0.009 | 0.830 | 0.093 | |
| Wilks’ Lambda | 0.991 | 0.208b | 4.000 | 91.000 | 0.934 | 0.009 | 0.830 | 0.093 | |
| Hotelling’s Trace | 0.009 | 0.208b | 4.000 | 91.000 | 0.934 | 0.009 | 0.830 | 0.093 | |
| Roy’s Largest Root | 0.009 | 0.208b | 4.000 | 91.000 | 0.934 | 0.009 | 0.830 | 0.093 | |
lsnstot | Pillai’s Trace | 0.023 | 0.538b | 4.000 | 91.000 | 0.708 | 0.023 | 2.151 | 0.174 | |
| Wilks’ Lambda | 0.977 | 0.538b | 4.000 | 91.000 | 0.708 | 0.023 | 2.151 | 0.174 | |
| Hotelling’s Trace | 0.024 | 0.538b | 4.000 | 91.000 | 0.708 | 0.023 | 2.151 | 0.174 | |
| Roy’s Largest Root | 0.024 | 0.538b | 4.000 | 91.000 | 0.708 | 0.023 | 2.151 | 0.174 | |
trichage | Pillai’s Trace | 0.343 | 4.758 | 8.000 | 184.000 | 0.000 | 0.171 | 38.062 | 0.998 | |
| Wilks’ Lambda | 0.675 | 4.939b | 8.000 | 182.000 | 0.000 | 0.178 | 39.514 | 0.998 | |
| Hotelling’s Trace | 0.455 | 5.118 | 8.000 | 180.000 | 0.000 | 0.185 | 40.940 | 0.999 | |
| Roy’s Largest Root | 0.386 | 8.887c | 4.000 | 92.000 | 0.000 | 0.279 | 35.549 | 0.999 | |
gender | Pillai’s Trace | 0.044 | 1.055b | 4.000 | 91.000 | 0.384 | 0.044 | 4.219 | 0.321 | |
| Wilks’ Lambda | 0.956 | 1.055b | 4.000 | 91.000 | 0.384 | 0.044 | 4.219 | 0.321 | |
| Hotelling’s Trace | 0.046 | 1.055b | 4.000 | 91.000 | 0.384 | 0.044 | 4.219 | 0.321 | |
| Roy’s Largest Root | 0.046 | 1.055b | 4.000 | 91.000 | 0.384 | 0.044 | 4.219 | 0.321 | |
Married | Pillai’s Trace | 0.269 | 3.582 | 8.000 | 184.000 | 0.001 | 0.135 | 28.654 | 0.981 | |
| Wilks’ Lambda | 0.742 | 3.667b | 8.000 | 182.000 | 0.001 | 0.139 | 29.333 | 0.984 | |
| Hotelling’s Trace | 0.333 | 3.749 | 8.000 | 180.000 | 0.000 | 0.143 | 29.995 | 0.986 | |
| Roy’s Largest Root | 0.279 | 6.428c | 4.000 | 92.000 | 0.000 | 0.218 | 25.711 | 0.988 | |
trichage * gender | Pillai’s Trace | 0.201 | 2.569 | 8.000 | 184.000 | 0.011 | 0.100 | 20.551 | 0.911 | |
| Wilks’ Lambda | 0.805 | 2.603b | 8.000 | 182.000 | 0.010 | 0.103 | 20.824 | 0.915 | |
| Hotelling’s Trace | 0.234 | 2.636 | 8.000 | 180.000 | 0.009 | 0.105 | 21.087 | 0.919 | |
| Roy’s Largest Root | 0.195 | 4.491c | 4.000 | 92.000 | 0.002 | 0.163 | 17.964 | 0.930 | |
trichage * Married | Pillai’s Trace | 0.451 | 2.989 | 16.000 | 376.000 | 0.000 | 0.113 | 47.827 | 0.998 | |
| Wilks’ Lambda | 0.586 | 3.334 | 16.000 | 278.647 | 0.000 | 0.125 | 39.886 | 0.991 | |
| Hotelling’s Trace | 0.646 | 3.614 | 16.000 | 358.000 | 0.000 | 0.139 | 57.817 | 1.000 | |
| Roy’s Largest Root | 0.540 | 12.678c | 4.000 | 94.000 | 0.000 | 0.350 | 50.714 | 1.000 |