Table 7.
Robust Tests of Equality of Means toward Teacher Satisfaction.
| Welch | Statistic* | df1 | df2 | Sig. | |
|---|---|---|---|---|---|
| Income_during | .632 | 4 | 32.880 | .643 | |
| Sup_bod | 5.665 | 4 | 66.141 | .001 | |
| Sup_parents⁎⁎ | |||||
| Sup_none | 7.515 | 4 | 85.241 | .000 | |
| ICT_before | .911 | 4 | 25.462 | .473 | |
| ICT_extend | 2.066 | 3 | 53.860 | .116 | |
| Onl_active | 1.466 | 4 | 38.295 | .231 | |
| Ready_ICT | 6.891 | 4 | 25.282 | .001 | |
| Ready_teacher | 6.968 | 4 | 19.962 | .001 | |
| Ready_policy | 7.612 | 4 | 30.007 | .000 | |
| New_by_bod | 9.912 | 4 | 32.264 | .000 | |
| New_by_colleagues | 1.146 | 4 | 29.849 | .354 | |
| New_lackoftime | 5.489 | 4 | 56.265 | .001 |
⁎
Asymptotically F distributed.
⁎⁎
Robust tests of equality of means cannot be performed for Tearcher satisfaction because at least one group has the sum of case weights less than or equal to 1.