Table 1.
Demographic characteristics of sample.
Fig 1.
Gender differences in experiences of harassment.
Fig 2.
Forest plot of the adjusted associations between the belief that Article X will be “Likely’ or “Extremely likely” to help reduce sexual harassment in the sciences and respondent characteristics.
Adjustment covariates were reduced and include gender, race, LGBTQIA+ identity, academic rank, and any sexual harassment experience (SEQ overall indicator).
Fig 3.
Forest plot of the bivariate associations between belief that the Article X policy “Does not go far enough” and respondent characteristics and the experience of gender harassment.
Adjustment covariates were reduced and include gender, race, LGBTQIA+ identity, academic rank, and any sexual harassment experience (SEQ overall indicator).
Fig 4.
Forest plot of the bivariate associations between belief that the Article X policy “Goes too far” and respondent characteristics and the experience of gender harassment.
Adjustment covariates were reduced and include gender, race, LGBTQIA+ identity, academic rank, and any sexual harassment experience (SEQ overall indicator).
Table 2.
Bivariate regression estimates for the association with B2 continuous “how far policy goes” scale (item asking respondents to rate their perceptions of the policy going not far enough to going too far).