Skip to main content

Table 6 Summary of logistic regression analysis for variables predicting working in a STEMM career vs working in a non-STEMM career

From: How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers

STEMM career vs. non-STEMM career

B

Std. Err.

e^B

Behavioral variables

 Comp. math and reading IRT theta

0.00

0.01

1.00

 Science IRT theta

0.04***

0.01

1.04

 Advanced math course

0.48**

0.16

1.61

 Advanced science course

0.41**

0.12

1.51

Personal variables

 Attitude toward math

0.32

0.30

1.37

 Attitude toward science

0.00

0.23

1.00

 Science or engineer career expectation

0.37*

0.16

1.45

 College graduation expectation

− 0.12

0.17

0.89

 Self-concept

− 0.57*

0.26

0.57

 Locus of control

0.25

0.19

1.28

 Negative/risky behaviors

0.12

0.12

1.13

 Female

− 0.43***

0.11

0.65

 English is Native Language

0.05

0.28

1.05

 Underrepresented minority

0.13

0.19

1.14

Environmental variables

 Parent education

0.03

0.11

1.03

 Parent Native US citizen

− 0.35

0.20

0.70

 Parents married

0.46*

0.19

1.58

 College graduation expectation of parent

− 0.22

0.18

0.80

 Low income

− 0.15

0.16

0.86

Constant

− 3.23***

0.54

0.04

  1. Binary coded variables are 1 for yes and 0 for no
  2. Note: e B exponentiated B
  3. *p < .05; **p < .01; ***p < .001