Table 2.
Variable | Knowledge Score | Attitude Score | Practice Score |
---|---|---|---|
Job designation | F (2497) = 269.582 | F (2497) = 8.878 | F (2497) = 88.261 |
p = 0.000 | p = 0.000 | p = 0.000 | |
ŋ2 = 0.520 | ŋ2 = 0.034 | ŋ2 = 0.262 | |
State/Location | F (2497) = 21.928 | F (2497) = 7.715 | F (2497) = 6.045 |
p = 0.000 | p = 0.001 | p = 0.003 | |
ŋ2 = 0.081 | ŋ2 = 0.030 | ŋ2 = 0.024 | |
Migration status | F (1498) = 15.277 | F (1498) = 0.054 | F (1498) = 12.822 |
p = 0.000 | p = 0.817 | p = 0.000 | |
ŋ2 = 0.030 | ŋ2 = 0.000 | ŋ2 = 0.025 | |
Education | F (3496) = 26.886 | F (3496) = 1.125 | F (3496) = 15.678 |
p = 0.000 | p = 0.338 | p = 0.000 | |
ŋ2 = 0.140 | ŋ2 = 0.007 | ŋ2 = 0.087 | |
Position in Business | F (2497) = 4.039 | F (2497) = 1.688 | F (2497) = 2.965 |
p = 0.010 | p = 0.186 | p = 0.052 | |
ŋ2 = 0.018 | ŋ2 = 0.007 | ŋ2 = 0.012 | |
Use of PPE | F (1498) = 143.406 | F (1498) = 1.350 | F (1498) = 377.618 |
p = 0.000 | p = 0.246 | p = 0.000 | |
ŋ2 = 0.080 | ŋ2 = 0.003 | ŋ2 = 0.431 | |
Age (continuous) | F (1498) = 52.459 | F (1498) = 0.257 | F (1498) = 16.523 |
p = 0.000 | p = 0.612 | p = 0.000 | |
R = 0.309 | R = 0.023 | R = 0.179 | |
Years of work experience (continuous) | F (1498) = 6.937 | F (1498) = 0.003 | F (1498) = 0.829 |
p = 0.009 | p = 0.960 | p = 0.363 | |
ŋ2 = R = 0.117 | ŋ2 = R = 0.002 | ŋ2 = R = 0.041 |
Partial Eta squared (ŋ2) = Effect size.