TABLE 6:

Regression analyses predicting engineering professional identity with interactions between gender and affinities toward engineering practices

Gender Interactions
Female × Project management	0.14 (0.11)
Female × Framing and solving problems	0.35* (0.15)
Female × Collaboration	−0.15 (0.11)
Female × Analysis	−0.07 (0.08)
Female × Design	−0.09 (0.12)
Female × Tinkering	−0.13~ (0.07)
Constant	1.13*** (0.32)
Observations n = 2256
Adjusted R-squared	0.214

The model includes the main effects of gender, affinity variables, and student background variables (as seen in model 3 of Table 5).

^~p ≤ 0.10;

^*p ≤ 0.05,

^**p ≤ 0.01,

^***p ≤ 0.001.