Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 287
Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty
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)
OCR for page 288
Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty
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.