FIGURE 3.

Logistic regression of publication on research time by gender. Participants provided survey responses in which they indicated having received authorship credit on journal articles, conference papers, and/or published abstracts. Logistic regression analyses for authorship on each type of publication, respectively, included gender, research time spent in the second semester, self-efficacy for experimental design and hypothesis framing skills, and gender interactions with each as predictors. The only significant predictor of journal article authorship was the gender by research time interaction (b = 0.144; p = 0.016; exp[0.144] = 1.15), indicating that males were 15% more likely to receive authorship credit than females per 100 hours of reported research time.