FIG. 4.

Gender predicts question-asking behavior in a weekly MSTP seminar during the 2017–2018 academic year. Data are analyzed using mixed effects logistic regression to predict probability of question asking, with attendee gender and speaker gender as covariates adjusted for seminar date. (A) Women are significantly underrepresented as question-askers (p < 0.005). (B) Female speakers are more likely than male speakers to receive questions from both male and female audience members (p = 0.03). Questions posed to a female speaker are represented as light-gray circles; questions posed to a male speaker are represented as dark-gray squares. MSTP, Medical Scientist Training Program.