Skip to main content

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