The analyses in this chapter reveal a number of important findings about the application, recruitment, interview, and hiring process. [55] Shirley Tilghman, 2004, “Ensuring the Future Participation of Women in Science, Mathematics, and Engineering,” in National Research Council, The Markey Scholars Conference: Proceedings, Washington, DC: National Academies Press, pp. 7-12. [56] Because we performed a […]

Percentage breakdown of the number of years between full professor rank achieved and first faculty or instructional staff by gender, for full-time faculty at Research I institutions with instructional duties for credit, teaching biology, physi­cal sciences, engineering, mathematics or computer science, fall 2003. Years Between Achieved Full Professor and First Started Employment at Postsecondary Institution […]

Percentage breakdown of the number of years between associate professor rank achieved and first faculty or instructional staff by gender, for full-time faculty at Research I institutions with instructional duties for credit, teaching biology, physical sciences, engineering, mathematics or computer science, fall 2003. Years Between Achieved Associate Professor and First Started Employment at Postsecondary Institution […]

Presence of a Mentor by Gender and Rank Rank Gender Men Women Professor 19 (279) 28(233) Associate professor 55 (194) 93 (255) Assistant professor 108(208) 142 (235) NOTES: Sample sizes are in parentheses. For example, of 279 respondents, 19 male full professors stated that they had a mentor at some point in their careers. SOURCE: […]

Two statistical tests were carried out. First, a chi-square test of independence of rows was applied to determine whether the pattern of the number of under­graduate courses taught[124] by men and women differed. (These tests were either on three or four degrees of freedom.) The tests were not significant at the.05 level except for electrical […]

Suppose that we fit a model to a response variable that has been transformed using some function g as above, and obtain an estimate of a mean L в ■ Pro­grams including SAS will also output an estimate of the variance of L в ■ We can compute the estimate of the mean in the […]

Least-squares means of the response, also known as adjusted means or mar­ginal means can be computed for each classification or qualitative effect in the model. Examples of qualitative effects in our models include type of institution (two levels: public or private) discipline (with six categories in our study), gen­der of chair of search committee, and […]

We let y denote a response variable such as the proportion of women in the applicant pool or annual salary or number of manuscripts published in a year, and use x to denote a vector of covariates that might include type of institution, disci­pline, proportion of women on the search committee, etc. If y can […]

Data collected in the departmental and faculty surveys were used to answer various research questions in this report. Statistical analyses consisted essentially of fitting various types of regression models, including multiple linear regression, logistic regression, and Poisson regression models depending on the distributional assumptions that were appropriate for each response variable of interest. In some […]

The most prestigious institutions tend to do least well in recruiting female faculty. “The higher up the academic-prestige ladder a university is, the fewer women it usually has in tenured faculty positions. Research released showed that while the nation is doing a good job of turning out women with research doctor­ates, the top 50 institutions […]