Table 2.

Logistic regression predicting the likelihood of staying in full-time STEM work vs. switching to full-time non-STEM work in 2010 (new parents, n = 741 and childless workers, n = 2949)

Variable	Coefficient	SE
New parent	−0.813*	0.293
Woman	0.110	0.252
Hispanic	0.607†	0.363
Asian	−0.030	0.210
Black	0.308	0.389
Other nonwhite	−0.317	0.783
Math and computer science	0.266	0.249
Life sciences	−0.457	0.449
Physical sciences	0.019	0.386
Age	−0.015	0.013
University sector	−0.079	0.520
Government sector	0.366	0.338
Master’s degree	0.068	0.272
Doctorate	1.196‡	0.467
Nonworking partner	0.926‡	0.476
Intercept	2.055*	0.614

^*P < 0.001; ^†P < 0.10; ^‡P < 0.01, 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. “Childless workers” is defined as respondents who were employed full time in STEM in 2003 and remained childless through 2010.