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

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

Previous Chapter: Appendix 3-3: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of the Percentage of Applicants That Are Female
Suggested Citation: "Appendix 3-4: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of at Least One Female Candidate Interviewed." 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 3-4
Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of at Least One Female Candidate Intervieweda

Effects

Mean Odds Ratios (Lower, Upper 95% Confidence Limits)

Disciplines

 

Biology

0.51 (0.25, 0.76)

Chemistry

0.80 (0.68, 0.91)

Mathematics

0.80 (0.64, 0.96)

Electrical engineering

0.84 (0.72, 0.96)

Physics

0.84 (0.73, 0.95)

Civil engineering

0.81 (0.66, 0.96)

Type of position

 

Tenured

0.73 (0.59, 0.86)

Tenure-track

0.82 (0.74, 0.91)

Tenured – tenure-track

0.57 (0.22, 0.93)

Type of institution

 

Private 0.79

(0.67, 0.92)

Public

0.77 (0.65, 0.92)

Private – public

1.17 (0.19, 2.16)

Prestige of institution

 

Top 10

0.82 (0.72, 0.91)

Next 10

0.75 (0.59, 0.91)

Remaining institutions

0.77 (0.62, 0.92)

Top 10 – Next 10

1.50 (0.39, 2.62)

Top 10 – Remaining

1.33 (0.02, 2.65)

Next 10 – Remaining

0.89 (–0.13, 1.90)

Search committee chair

 

Male

0.77 (0.62, 0.93)

Female

0.78 (0.71, 0.86)

Male – female

0.95 (0.16, 1.74)

Suggested Citation: "Appendix 3-4: Estimated Adjusted Mean Effects and Differences Based on the Modeled Probability of at Least One Female Candidate Interviewed." 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

Ratio Of Mean Odds Ratios (Lower, Upper 95% Confidence Limits)

Differences across disciplines

 

Biology – Chemistry

0.26 (–0.04, 0.55)

Biology – Mathematics

0.26 (–0.08, 0.59)

Biology – Electrical engineering

0.19 (–0.06, 0.45)

Biology – Physics

0.19 (–0.04, 0.42)

Biology – Civil engineering

0.24 (–0.08, 0.56)

Chemistry – Mathematics

0.99 (–0.01, 2.00)

Chemistry – Electrical engineering

0.75 (0.06, 1.44)

Chemistry – Physics

0.75 (–0.01, 1.50)

Chemistry – Civil engineering

0.94 (0.03, 1.85)

Mathematics – Electrical engineering

0.76 (–0.11, 1.62)

Mathematics – Physics

0.75 (–0.03, 1.53)

Mathematics – Civil engineering

0.95 (–0.30, 2.19)

Electrical engineering – Physics

0.99 (0.07, 1.92)

Electrical engineering – Civil engineering

1.25 (0.13, 2.37)

Physics – Civil engineering

1.26 (0.10, 2.41)

Type of position

 

Tenured – tenure-track

0.57 (0.22, 0.93)

Type of institution

 

Private – public

1.17 (0.19, 2.16)

Prestige of institution

 

Top 10 – Next 10

1.50 (0.39, 2.62)

Top 10 – Remaining

1.33 (0.02, 2.65)

Next 10 – Remaining

0.89 (–0.13, 1.90)

Search committee chair

 

Male – female

0.95 (0.16, 1.74)

a The sample size used to fit this model was 667. For differences across effect level, the mean represents the ratio of odds ratios between the two factor levels.

bThe same effects were fit as 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 3-5: Doctoral Degrees Awarded by All Doctoral-Granting Institutions, by Field, Gender, and Year
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