Table 1.
Means and Analysis of Variance Results by Gender-Role Group
| Question | Means |
ANOVA results |
||||||
|---|---|---|---|---|---|---|---|---|
| Women faculty (n = 160) | Men faculty (n = 160) | Women staff (n = 291) | Men staff (n = 76) | Learner/trainee (n = 82) | All (n = 769) | F (df) | p | |
| I learned something new about gender equity. | 3.56 | 3.77 | 3.69 | 3.72 | 3.79 | 3.69 | F(4, 762) = 1.62 | 0.167 |
| I was able to take some time to reflect about gender equity in my environment. | 3.92 | 4.13 | 4.00 | 4.11 | 4.20 | 4.04 | F(4, 761) = 2.64 | 0.033 |
| I acted to promote gender equity. | 3.83 | 4.01 | 3.89 | 4.00 | 4.00 | 3.93 | F(4, 756) = 1.56 | 0.184 |
| I remembered my IWill pledge. | 4.12 | 4.20 | 4.05 | 4.21 | 3.94 | 4.10 | F(4, 763) = 1.85 | 0.117 |
| I have become aware of a gender inequity that I did not see before. | 3.26 | 3.49 | 3.46 | 3.51 | 3.54 | 3.44 | F(4, 757) = 1.68 | 0.152 |
| I was able to fulfill my IWill Pledge | 4.13 | 4.34a | 3.92a | 4.26 | 4.18 | 4.11 | F(4, 759) = 5.70 | <0.001 |
| I have the power to create gender equity in my work environment. | 3.79b | 4.21b | 3.76b | 4.16b | 4.09b | 3.93 | F(4, 737) = 9.31 | <0.001 |
| I was able to gain what I hoped I would from IWill MCW. | 3.43 | 3.64 | 3.44 | 3.69 | 3.66 | 3.53 | F(4, 748) = 3.60 | 0.006 |
| I believe that IWill MCW has improved gender equity at MCW. | 3.33c | 3.55 | 3.38 | 3.66c | 3.59 | 3.45 | F(4, 751) = 4.06 | 0.003 |
| I would like for there to be another opportunity to make a gender equity pledge. | 3.65 | 3.59 | 3.71 | 3.69 | 3.99 | 3.70 | F(4, 744) = 2.58 | 0.036 |
| If there is another opportunity to pledge, the pledges should be the same as the previous set. | 3.16 | 3.28 | 3.12 | 3.12 | 3.17 | 3.17 | F(4, 736) = 1.13 | 0.342 |
| Did you encourage anyone to make a pledge? (Yes/No) | 0.36 | 0.39 | 0.48 | 0.41 | 0.53 | 0.43 | F(4, 734) = 2.56 | 0.037 |
Bolded items indicate significance in the omnibus test with p < 0.004 considered significant after applying the Bonferroni correction for 12 total ANOVA tests; Letters indicate significance in post hoc tests.
a
Women staff significantly different than men faculty (p < 0.001).
b
Women faculty significantly different than men faculty (p < 0.001) and men staff (p = 0.003). Women staff significantly different than learners/trainees (p = 0.033), men faculty (p < 0.001), and men staff (p = 0.005).
c
Women faculty significantly different than men staff (p = 0.029).
ANOVA, analysis of variance; MCW, Medical College of Wisconsin's.