Table 3.
Logistic regression model predicting the likelihood that new parents stayed employed full time in STEM, switched to part-time work, or left the workforce entirely in 2010 (n = 841)
| Variable | (A) Stayed in full-time work in STEM | (B) Switched to part-time work | (C) Left workforce entirely | |||
| Coefficient | SE | Coefficient | SE | Coefficient | SE | |
| Women | −0.974* | 0.407 | 2.052* | 0.842 | 1.644† | 0.594 |
| Hispanic | 0.592 | 0.752 | −0.658 | 1.341 | 1.561 | 1.276 |
| Asian | 0.648* | 0.327 | −0.452 | 0.534 | 0.191 | 0.546 |
| Black | 0.401 | 0.643 | −0.261 | 1.266 | −1.139 | 1.458 |
| Other nonwhite | −1.040 | 0.634 | −11.691 | 1.265 | −14.514 | 16.997 |
| Math and computer science | 0.341 | 0.401 | −0.508 | 0.674 | 0.332 | 0.691 |
| Life sciences | −0.857 | 0.460 | −0.652 | 0.784 | 2.489† | 0.789 |
| Physical sciences | −0.657 | 0.547 | 0.252 | 0.660 | 0.392 | 0.783 |
| Age | −0.028 | 0.025 | −0.084 | 0.057 | 0.129† | 0.049 |
| University sector | −0.632 | 0.771 | 1.515† | 0.575 | −1.391* | 0.606 |
| Government sector | 0.880 | 0.459 | 0.325 | 0.817 | −0.398 | 0.512 |
| Master’s degree | 0.254 | 0.432 | −0.322 | 0.699 | −1.105 | 0.811 |
| Doctorate | 2.039‡ | 0.061 | 0.185 | 0.650 | −2.212† | 0.827 |
| Nonworking partner | 0.612 | 0.444 | 0.548 | 1.159 | −0.377 | 0.686 |
| R had additional children | 0.234 | 0.350 | −0.127 | 0.675 | 0.377 | 0.686 |
| Intercept | 1.471 | 0.407 | −1.325 | 2.066 | −7.906‡ | 1.905 |
*P < 0.05; †P < 0.01; ‡P < 0.001, two-tailed tests.
SESTAT restricted-use data. White is the comparison category for race/ethnicity, the for-profit sector is the comparison category for sector, engineering is the comparison category for STEM discipline, and bachelor’s degree is the comparison category for education level. “New parents” is defined as respondents who were childless and employed full time in STEM in 2003 and had a child between 2003 and 2006.