College campus sexual assault is well-documented as a pervasive problem among U.S. colleges and universities, with female college students at the greatest risk. Although more than 30 years of research has been dedicated to uncovering college campus sexual assault and identifying risk factors for victimization, few studies have looked at the relationship between female students with disabilities and college campus sexual assault victimization. The present study uses data from the female respondents (N = 22,828) of the American College Health Association's Fall 2016 National College Health Assessment (ACHA-NCHA) to explore the relationship between female college campus sexual assault victimization and disability status. The analysis finds that disability status produces significantly greater increased odds for sexual assault than other commonly cited risk factors such as binge drinking, drug use, or Greek affiliation. Specifically, female students with disabilities are at increased odds for any type of sexual assault compared with female students without disabilities (odds ratio [OR] = 1.96; p < .001). This increases when looking at specific types of assault. Female students with disabilities were over 100% more likely to experience completed assaults (OR = 2.34; p < .001), attempted assaults, (OR = 2.03; p < .001), and relationship assaults (OR = 2.22; p < .001) compared to female students without disabilities. Analysis also indicates differences in
Self-report surveys that are online, lengthy, and contain sensitive material greatly increase the probability of invalid responding (IR) on the instrument. Most research to inform our identification of invalid responders have not been able to test their methodologies where all these conditions are present. This study systematically adopted 10 IR indicators based on direct, archival, and statistic strategies to identify IR providing answers on a lengthy survey collecting campus climate/violence information that college students ( N = 6,995) accessed online. Exploratory factor analysis indicated two internal factors (i.e., careless and extreme responding) underlying these IR indicators. Latent class analysis identified 4.8% of the sample as being invalid responders. Compared with honest responders, invalid responders were significantly more likely to report forms of victimization and a greater negative impact from physical abuse or sexual assault. Of importance, mean scores on victimization scales were significantly higher for invalid responders, illustrating the potential for IR data to skew prevalence rates. IR indicators differentially identified honest and invalid responders. The findings of this study contribute to the systematic investigation of IR with college students completing online and lengthy surveys that address sensitive material.
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