Why Do Students Participate in Campus Sexual Assault Climate Surveys?
Sarah McMahonRachel A ConnorJulia CusanoAllison BrachmannPublished in: Journal of interpersonal violence (2023)
The purpose of the current study is to explore students' reasons for participating in a campus sexual assault climate survey to determine if patterns exist based on various identities and experiences. More specifically, we were interested in the most frequently reported reasons for participating, and whether they differed by key demographic variables. As part of a campus climate survey administration at two campuses, 4,020 students responded to survey questions asking why they participated in the survey (Sample 1, n = 2,937 and Sample 2, n = 1,083). To examine which demographic variables predicted reasons for taking the survey while controlling for other potential correlates, we conducted logistic regression analyses. The reasons provided by students as to why they completed the campus climate survey differed by identity characteristics, suggesting that researchers must consider the demographic makeup of their institutions when designing sampling and recruitment plans and tailoring them to their student populations. For example, while gender emerged as salient for differing reasons for participation (e.g., women more likely to participate because of the issue's importance and wanting their opinions heard more), intersectional analysis by race and gender indicates that White men (and Asian men, in Sample 1) most consistently indicated different reasons for participation, with significantly greater odds than their White and Asian women counterparts to participate for the cash incentives. This information could help improve the recruitment of representative samples for campus sexual assault surveys and therefore provide more accurate data that can be used to deliver effective intervention and prevention efforts.
Keyphrases
- cross sectional
- mental health
- climate change
- randomized controlled trial
- type diabetes
- physical activity
- pregnant women
- risk assessment
- machine learning
- metabolic syndrome
- middle aged
- smoking cessation
- pregnancy outcomes
- hiv testing
- insulin resistance
- artificial intelligence
- human health
- breast cancer risk
- men who have sex with men
- social media
- antiretroviral therapy
- medical students