TABLE 5:
Regression analyses predicting engineering professional identity
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| Female | −0.30*** (0.05) | −0.28*** (0.05) | −0.18*** (0.05) |
| Major (reference = ME) | |||
| CAEE | — | −0.07 (0.07) | −0.08 (0.06) |
| BME | — | −0.13* (0.07) | −0.18** (0.06) |
| Semester (reference = Fall 2016) | |||
| Fall 2017 | — | 0.15~ (0.08) | 0.11 (0.07) |
| Fall 2018 | — | 0.03 (0.06) | 0.06 (0.05) |
| Division (reference = lower) | −0.08 (0.05) | 0.08 (0.05) | |
| Race (reference = White) | |||
| Hispanic | — | 0.10 (0.07) | 0.05 (0.06) |
| Asian | — | 0.09 (0.07) | 0.07 (0.06) |
| Black | — | 0.10 (0.22) | 0.23 (0.20) |
| American Indian/Native Hawaiian | — | 1.32 (0.89) | 0.61 (0.79) |
| Multiracial | — | −0.06 (0.16) | −0.12 (0.14) |
| Mother’s Education | — | −0.03 (0.03) | 0.02 (0.02) |
| Flag for Missing for Mother’s Education | — | −0.13 (0.20) | −0.19 (0.18) |
| Affinity Variables | |||
| Project management | — | — | 0.14* (0.06) |
| Framing and solving problems | — | — | 0.21** (0.07) |
| Collaboration | — | — | −0.20*** (0.05) |
| Analysis | — | — | 0.25*** (0.04) |
| Design | — | — | 0.31*** (0.06) |
| Tinkering | — | — | 0.27*** (0.03) |
| Constant | 5.17*** (0.03) | 5.28*** (0.10) | 0.99*** (0.26) |
| Observations n = 2,256 | — | — | — |
| Adjusted R-squared | 0.013 | 0.016 | 0.212 |
~
p ≤ 0.10;
*
p ≤ 0.05,
**
p ≤ 0.01,
***
p ≤ 0.001.