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Table 3 Predicting ECS enrollment from sex, URM status, math and verbal scores

From: SAT patterns and engineering and computer science college majors: an intersectional, state-level study

 

β

Standard error

Odds ratio

95% CI

Intercept

 − 2.11*

0.04

0.12

0.11–0.13

Disadvantaged (1 = disadvantaged; 0 = not disadvantaged)

0.14*

0.02

1.15

1.09–1.20

Sex (1 = male; 0 = female)

0.94*

0.04

2.57

2.36–2.79

URM (1 = non-URM; 0 = URM)

 − 0.31*

0.04

0.73

0.68–0.79

Math score

0.39*

0.01

1.48

1.45–1.50

Verbal score

 − 0.07*

0.01

0.93

0.92–0.95

Int: Sex × URM

0.23*

0.04

1.26

1.16–1.37

Int: Sex × Math score

 −0.12*

0.01

0.89

0.88–0.90

Int: Sex × Verbal score

0.00

0.01

1.00

0.99–1.01

Int: Math score × Verbal score

0.00

0.00

1.00

1.00–1.00

Int: URM × Math score

0.03*

0.01

1.03

1.01–1.05

Int: URM × Verbal score

 −0.01

0.01

0.99

0.97–1.00a

Int: Sex × Math score × Verbal score

 − 0.00*

0.00

0.99

0.99–1.00a

Int: URM × Math score × Verbal score

 − 0.01*

0.00

0.99

0.99–0.99

  1. *p < .001. The numbers were rounded to 2 decimal points. Int = Interaction term. aThe number was less than 1.00