Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty (2010)

Chapter: Appendix 3-3: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of the Percentage of Applicants That Are Female

Previous Chapter: Appendix 3-2: Estimated Adjusted Mean Effects and Differences for the Probability That There Are No Female Applicants
Suggested Citation: "Appendix 3-3: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of the Percentage of Applicants That Are Female." National Research Council. 2010. Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty. Washington, DC: The National Academies Press. doi: 10.17226/12062.

Appendix 3-3
Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of the Percentage of Applicants That Are Femalea,b,c

Effects

Mean (Lower, Upper 95% Confidence Limits)

Disciplines

 

Biology

0.24 (0.20, 0.28)

Chemistry

0.17 (0.14, 0.21)

Mathematics

0.20 (0.16, 0.24)

Electrical engineering

0.10 (0.07, 0.13)

Physics

0.10 (0.09, 0.12)

Civil engineering

0.13 (0.10, 0.17)

Type of position

 

Tenured

0.15 (0.12, 0.17)

Tenure track

0.15 (0.13, 0.17)

Tenured – tenure-track

1.00 (0.88, 1.12)

Type of institution

 

Private

0.15 (0.13, 0.17)

Public

0.15 (0.12, 0.17)

Private – public

1.03 (0.87, 1.19)

Prestige of institution

 

Top 10 institutions

0.16 (0.14, 0.18)

Next 10 institutions

0.14 (0 10, 0.19)

Remaining institutions

0.15 (0.13, 0.17)

Top 10 – second

10 1.12 (0.75, 1.48)

Top 10 – remaining

1.08 (0.94, 1.22)

Second 10 – remaining

0.97 (0.69, 1.25)

Gender of search committee chair

 

Female chair

0.16 (0.13, 0.19)

Male chair

0.14 (0.12, 0.16)

Female – male chair

1.17 (1.01, 1.32)

Suggested Citation: "Appendix 3-3: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of the Percentage of Applicants That Are Female." National Research Council. 2010. Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty. Washington, DC: The National Academies Press. doi: 10.17226/12062.

Effects

Ratios of Means (Lower, Upper 95% Confidence Limits)

Differences across disciplines

 

Biology – Chemistry

1.36 (1.10, 1.62)

Biology – Mathematics

1.21 (1.05, 1.37)

Biology – Electrical engineering

2.44 (1.61, 3.27)

Biology – Physics

2.30 (1.91, 2.69)

Biology – Civil engineering

1.80 (1.29, 2.32)

Chemistry – Mathematics

0.89 (0.69, 1.08)

Chemistry – Electrical engineering

1.79 (1.18, 2.39)

Chemistry – Physics

1.69 (1.39, 1.98)

Chemistry – Civil engineering

1.32 (0.92, 1.73)

Mathematics – Electrical engineering

2.02 (1.35, 2.68)

Mathematics – Physics

1.90 (1.57, 2.24)

Mathematics – Civil engineering

1.49 (1.06, 1.93)

Electrical Engineering – Physics

0.94 (0.64, 1.25)

Electrical – Civil engineering

0.74 (0.47, 1.01)

Physics – Civil engineering

0.78 (0.58, 0.99)

Type of position

 

Tenured – tenure-track

1.00 (0.88, 1.12)

Type of institution

 

Private – public

1.03 (0.87, 1.19)

Prestige of institution

 

Top 10 – second

10 1.12 (0.75, 1.48)

Top 10 – remaining

1.08 (0.94, 1.22)

Second 10 – remaining

0.97 (0.69, 1.25)

Gender of search committee chair

 

Female – male chair

1.17 (1.01, 1.32)

aThe sample size used to fit this model was 667.

bThe same effects were fit as in the table in Appendix 3-2.

cSee note b in the table in Appendix 3-2.

SOURCE: Departmental survey conducted by the Committee on Gender Differences in Careers of Science, Engineering, and Mathematics Faculty.

Next Chapter: Appendix 3-4: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of at Least One Female Candidate Interviewed
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