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Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty (2009)
Committee on Women in Science, Engineering, and Medicine (CWSEM)
 Committee on National Statistics (CNSTAT)

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290
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Page
290
Front Matter (R1-R16)
SUMMARY (1-12)
1INTRODUCTION (13-26)
2 STATUS OF WOMEN IN ACADEMIC SCIENCE AND ENGINEERING IN 2004 AND 2005 (27-34)
3 Gender Differences in Academic Hiring (35-64)
4 Professional Activities, Institutional Resources, Climate, and Outcomes (65-106)
5 Gender Differences in Tenure and Promotion (107-140)
6 KEY FINDINGS AND RECOMMENDATIONS (141-154)
Bibliography (155-190)
Appendix 1-1 Committee on Gender Differences in Careers of Science, Engineering, and Mathematics Faculty (191-196)
Appendix 1-2 List of Research I institutions (197-197)
Appendix 1-3 Committee on Gender Differences in Careers of Science, Engineering, and Mathematics Faculty (198-199)
Appendix 1-4The Surveys (200-206)
Appendix 1-5 Survey Instruments (207-232)
Appendix 1-6 Departments in Survey (233-259)
Appendix 2-1 Review of Literature and Relevant Research (260-274)
APPENDIX 2-2 PREVIOUS RESEARCH ON FACTORS CONTRIBUTING TO GENDER DIFFERENCES AMONG FACULTY (275-281)
Appendix 3-1 Review of the Literature and Research on Factors Associated with a Higher Proportion of Female Applicants (282-289)
Appendix 3-2 Estimated adjusted mean effects and differences for the probability that there are no female applicants (290-290)
Appendix 3-3 Estimated adjusted mean effects and differences based on the modeled probability of the percentage of applicants that are female (291-292)
Appendix 3-4 Estimated adjusted mean effects and differences based on the modeled probability of at least one female candidate interviewed (293-294)
Appendix 3-5 Doctoral degrees awarded by all doctoral-granting institutions, by field, gender, and year. (295-295)
Appendix 3-6 Doctoral Degrees Awarded by discipline and gender for Research I institutions, 1999-2003 (296-296)
Appendix 3-7 (297-300)
Appendix 3-8 Main Considerations for taking a position by number of respondents saying "Yes" (301-301)
Appendix 4-1 Distribution of Undergraduate Course Load for Faculty by Gender and Discipline (302-303)
Appendix 4-2 (304-304)
Appendix 4-3 (305-305)
Appendix 4-4 (306-306)
Appendix 4-5 (307-307)
Appendix 4-6 Distribution of Number of Graduate Thesis or Honors Committees for Research I Tenure and Tenure-Track Faculty (308-308)
Appendix 4-7 Percentage of Time Spent in Administration or Committee Work on Campus and Service to the Profession Outside the University for Tenured and Tenure-Track Faculty at Research I Institutions (309-309)
Appendix 4-8 Distribution of Number of Service Committees for Research I Tenure and Tenure-Track Faculty (310-310)
Appendix 4-9 Mean Salary by Gender and Professorial Rank for Tenure and Tenure-Track Faculty in Research I Institutions (311-311)
Appendix 4-10 Percent of Tenured and Tenure Track Faculty in Research I Institutions Receiving Summer Support (312-312)
Appendix 4-11 Percent of Tenured and Tenure-Track Faculty in Research I Institutions Receiving Travel Funds (313-313)
Appendix 4-12 (314-314)
Appendix 4-13 (315-315)
Appendix 4-14 (316-316)
Appendix 4-15 (317-317)
Appendix 4-16 (318-318)
Appendix 4-17 (319-319)
Appendix 4-18 (320-320)
Appendix 4-19 (321-321)
Appendix 4-20a (322-322)
Appendix 4-20b (323-323)
Appendix 4-21 (324-324)
Appendix 4-22 (325-325)
Appendix 4-23 (326-326)
Appendix 4-24 (327-327)
Appendix 5-1 (328-329)
Appendix 5-2 (330-330)
Appendix 5-3 (331-331)
Appendix 5-4 (332-332)
Appendix 5-5 (333-333)
Appendix 5-6 (334-334)
Appendix 5-7 (335-335)
BIBLIOGRAPHY (336-373)

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APPENDIXES 290 Appendix 3-2 Estimated adjusted mean effects and differences for the probability that there are no female applicantsa Estimated mean difference (lower 95%, upper 95% confidence limits) Differences across effect levels Biology – Chemistryb 0.22 (-0.08 , 0.51) Biology – Mathematics 0.50 ( 0.01 , 0.99) Biology – Electrical Engineering 0.23 (-0.12 , 0.57) Biology – Physics 0.22 (-0.11 , 0.54) Biology – Civil Engineering 0.13 (-0.07 , 0.34) Tenured – Tenure-track 0.81 (0.71 , 0.92) Private Institution – Public institution 0.66 (0.49 , 0.84) Top 10 department – next 10 depts. 0.27 (0.10 , 0.44) Next 10 depts – Remaining depts. 0.81 (0.59 , 1.03) M – F Search Committee Chair 0.24 (-0.16 , 0.63) SOURCE: Departmental Survey conducted by the Committee. a The sample size used to fit this model was X. b The effects fit were: (1) indicator variables for discipline (Biology, Chemistry, Civil Engineering, Electrical Engineering, Mathematics, and Physics, (2) indicator variables for Tenured, Tenure-track, (3) indicator variables for private institution, public institution, (4) indicator variables for top ten departments, second ten departments, and remainder, and (5) an indicator variable as to whether the committee chair was female. c The estimated adjusted mean differences can be interpreted using Biology - Chemistry as an example. For those individuals in Biology, there is an estimated probability of having no female applicants given, or conditional on, the values for the remaining predictors in the logistic regression model. There is an analogous set of estimated conditional probabilities for Chemistry, again conditional on the predictors in the model. For each set of predictors, one can compute the difference of the estimated probabilities, and then one can average these differences in estimated probabilities over the estimated distribution of the predictors. The result is an estimated average difference of probabilities. PREPUBLICATION COPY