Table 5. Outcomes pre-COVID, with significance between the models.
| AOV p-value | Eta2 (η2) and [CI] | TukeyHSD-pairwise comparison | |||
|---|---|---|---|---|---|
| (Were the models significantly related to the outcomes?) | (How much effect did the models have on the outcome?) | p-value | |||
| Significance of difference between individual models | |||||
| MAM-FEM | NOM-FEM | NOM-MAM | |||
|
Respect
Pre-Covid |
<0·001 | η2 = 0·08 [0·05, 0·12] (medium effect) | 0·1526 | < 0·001 | < 0·001 |
|
Trust
Pre-Covid |
< 0·001 | η2 = 0·15 [0·12, 0·19] (large effect) | < 0·001 | < 0·001 | < 0·001 |
Effect Size: (eta squared is the proportion of the total variability in the dependent variable that is accounted for by the variation in the independent variable.) Benchmarks: 0·01 = small, 0·06 = medium, 0·14 = large.