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Table 6 Logistic regression of peer training and mentoring skills

From: STEM doctoral students’ skill development: does funding mechanism matter?

n = 719 Model 7 Model 8 Model 9
Gender (ref. = man)    
Woman 1.06
(0.17)
1.19
(0.20)
1.17
(0.20)
Race (ref. = White)    
Asian 1.11
(0.24)
1.12
(0.25)
1.04
(0.24)
Black 0.24*
(0.14)
0.27*
(0.16)
0.26*
(0.16)
Hispanic 0.76
(0.21)
0.86
(0.24)
0.77
(0.23)
Citizenship (ref. = U.S. citizen)    
Non-U.S. citizen 1.24
(0.26)
0.92
(0.21)
0.98
(0.23)
Ph.D. field (ref. = engineering)    
Biological sciences 0.74
(0.20)
0.65
(0.18)
0.64
(0.19)
Math 0.81
(0.27)
0.54
(0.19)
0.54
(0.20)
Physical science 0.83
(0.17)
0.59*
(0.13)
0.64*
(0.14)
Institution (ref. = public)    
Private 0.72
(0.17)
0.93
(0.23)
0.99
(0.26)
Year in doctoral program (ref. = year 1)    
Year 2 1.09
(0.26)
1.14
(0.28)
0.97
(0.24)
Year 3 1.02
(0.24)
1.17
(0.28)
1.09
(0.27)
Year 4 1.35
(0.34)
1.47
(0.38)
1.39
(0.37)
Year 5 0.99
(0.28)
0.91
(0.27)
0.96
(0.28)
Year 6 1.02
(0.53)
1.09
(0.57)
1.22
(0.66)
Year 7 or more 1.44
(0.84)
1.49
(0.90)
1.31
(0.81)
Research group (ref. = yes)    
No 0.40**
(0.13)
0.31***
(0.11)
0.26***
(0.10)
Unsure 0.69
(0.37)
0.66
(0.36)
0.64
(0.35)
Two or more funding sources 1.21
(0.27)
1.09
(0.25)
1.16
(0.27)
Primary funding (ref. = research assistantship)    
External fellowship   0.31***
(0.08)
0.26***
(0.07)
Internal fellowship   0.73
(0.16)
0.74
(0.17)
Teaching assistantship   1.88**
(0.43)
2.36***
(0.56)
Career alignment    2.70***
(0.47)
Constant (intercept) 0.98
(0.21)
1.19
(0.29)
0.74
(0.19)
Pseudo-R2 3.1% 7.0% 10.5%
  1. In models with engineering doctoral students only, all results are comparable. When interacting primary funding with career alignment there were no significant findings (see Appendix 4)
  2. *p \(\le\) 0.05, **p \(\le\) 00.01, ***p \(\le\) 0.001