Abstract
One goal of university campus sexual assault (CSA) policies is to help prevent CSA. Federal guidance in the 2014 White House Task Force to Protect Students From Sexual Assault Checklist for Campus Sexual Misconduct Policies suggests 10 elements for inclusion in CSA policies (e.g., Policy Introduction, Grievance/Adjudication), and outlines policy topics to be included within each element (Policy Introduction includes two topics: statement of prohibition against sex discrimination including sexual misconduct and statement of commitment to address sexual misconduct). However, no research has examined whether CSA policies impact CSA prevalence. To begin addressing this gap, we studied 24 universities participating in the 2015 Association of American Universities Campus Climate Survey on Sexual Assault and Sexual Misconduct. We linked 2014-2015 data from these universities’ CSA policies and their CSA prevalence findings from the 2015 Association of American Universities (AAU) survey. To test whether the comprehensiveness of schools’ CSA policies was related to schools’ CSA prevalence, we examined the degree to which the CSA policies included recommended policy content from the aforementioned Checklist. Policies were characterized as more comprehensive if they included greater numbers of Checklist topics. We then correlated the number of topics within the policies with school-level CSA prevalence. We also explored whether there was lower CSA prevalence among schools with policies containing particular topics. Results suggested that greater comprehensiveness of schools’ entire CSA policies was negatively correlated with CSA prevalence; however, these findings did not approach statistical significance. The number of negative correlations observed between schools’ CSA policy elements and CSA prevalence among undergraduate women was greater than expected by chance alone, suggesting a possible connection between comprehensive CSA policies and CSA prevalence. Schools with policies that included a topic on their sexual assault response team had the lowest CSA prevalence for both women and men, and schools that included topics describing grievance/adjudication procedures had lower CSA prevalence. This study provides a novel examination of CSA and could inform needed research related to the impact of CSA policies on CSA.
Introduction
Campus sexual assault (CSA) is a common problem in the United States, and it has been linked to immense suffering. The Association of American Universities (AAU) Campus Climate Survey on Sexual Assault and Sexual Misconduct (hereafter, the AAU Survey) found that, by their senior year of college, 6.3% of undergraduate men and 26.1% of undergraduate women experience CSA victimization (i.e., nonconsensual penetration or sexual touching perpetrated by incapacitation or force; Cantor et al., 2015). Moreover, CSA is linked to decreased academic performance and college graduation rates, poor employment and economic outcomes, increased mental health problems and substance use, sexually transmitted infections, and unwanted pregnancy (Banyard et al., 2017; Basile & Smith, 2011; Chang et al., 2017; Jordan, Combs, & Smith, 2014; Lévesque et al., 2016; Loya, 2015; Martin, Ashley, & Hill, 2017; Mengo & Black, 2016; Peterson, DeGue, Florence, & Lokey, 2017; Rhew, Stappenbeck, Bedard-Gilligan, Kaysen, & Hughes, 2017).
Policies Addressing CSA
Almost 95% of U.S. colleges and universities (Graham et al., 2017) have policies that address CSA. Such policies not only outline the campus response to CSA when it occurs, but also are intended to prevent CSA. Social cognitive theory and social norms theory may help explain the potential for these policies to prevent CSA.
As posited by social cognitive theory, which, in part, focuses on how known rewards and punishments can influence individuals’ behaviors (i.e., incentive motivation; McAlister, Perry, & Parcel, 2008), the content of CSA policies may help prevent CSA by enhancing potential perpetrators’ awareness of the consequences of policy violation. In turn, this awareness of potential negative repercussions for policy violators may deter potential perpetrators from committing CSA.
In addition, policies may help shape campus social norms. Social norms theory highlights the importance of social norms in shaping individuals’ behavior (Paul & Gray, 2011); therefore, a policy that demonstrates that the campus community is unsupportive of CSA and considers CSA a violation of community norms may help shape individuals’ behavior, preventing CSA perpetration. Relatedly, CSA policies may help prevent CSA by demonstrating to students, faculty, and staff that the school administration and campus community take the issue of CSA seriously. Such evidence of support for CSA survivors, in turn, may lead to increased reporting of CSA to campus authorities, resulting in increased service delivery to survivors, adjudication of CSA cases, and CSA prevention efforts on campus, as well as decreased CSA perpetration.
Federal Guidance on CSA Policy Content
The White House Task Force to Protect Students From Sexual Assault (hereafter, referred to as the Task Force) was formed in response to the U.S. federal government’s desire to prevent CSA and to address variations in CSA policies across U.S. campuses (Office of the Press Secretary, 2014). In 2014, the Task Force authored a Checklist for Campus Sexual Misconduct Policies (hereafter, referred to as the Checklist), providing guidance and recommendations on how schools can make their CSA policies more comprehensive. The Checklist suggests schools consider including 10 elements in their policies:
introduction (hereafter, Policy Introduction),
scope of the policy (hereafter, Policy Scope),
options for assistance following an incident of sexual misconduct (hereafter, Assistance Options),
Title IX Coordinator,
Definitions,
reporting policies and protocols (hereafter, Reporting),
investigation procedures and protocols (hereafter, Investigation),
grievance/adjudication procedures (hereafter, Grievance/Adjudication),
prevention and education (hereafter, Prevention), and
Training.
The document also describes suggested policy topics to be included in each element. For example, the Policy Introduction element should include two topics: a “clear statement of the school’s prohibition of sex discrimination which includes sexual misconduct” and a “statement of the school’s commitment to address sexual misconduct” (White House Task Force to Protect Students From Sexual Assault, 2014, p. 3). Each of the 10 elements includes two to 21 topics. Checklist elements and topics can be found in an appendix accessible by contacting the corresponding author.
Lack of Information Linking CSA Policy and CSA Prevalence
Although most schools have CSA policies aimed at responding to and preventing CSA, and federal guidance has been issued concerning the types of information (i.e., elements and topics) that should be included in CSA policies, our team could not locate any research that has examined associations between CSA policy content and CSA prevalence. Given the potential for policies to prevent CSA and the lack of research on this topic, this article examines possible relationships between CSA policy content and CSA prevalence. In particular, we test the hypothesis that more comprehensive CSA policies (defined as a CSA policy including a greater number of topics) are negatively correlated with CSA prevalence. In addition, we explore whether lower CSA prevalence is seen among schools with CSA policies containing particular topics.
Method
Study Overview and Sample
To address our research aims, we used university data from the 2014-2015 academic year, including data on school characteristics from the National Center for Education Statistics (2015) Integrated Postsecondary Education Data System (IPEDS), CSA current year prevalence data from the 2015 AAU Survey (Cantor et al., 2015), and CSA policy information from school websites and/or school administrators. Using CSA policy information that was in place just prior to or during 2014, or right at the beginning of the 2014-2015 academic year, and the current year prevalence data collected at the end of the 2015 academic year (April/May 2015) assured that the predictor variable (the CSA policy) preceded the outcome variable (CSA victimizations).
Our study sample included 24 of the 27 schools that participated in the 2015 AAU Survey; 26 of these original 27 schools are members of the AAU (Westat, 2015). Three schools were excluded because we were unable to obtain their prevalence data or policy information.
Data on School Characteristics
To characterize the schools included in the sample, we downloaded publicly available data from IPEDS, which receives annual school-related information on more than 7,500 postsecondary schools. We obtained data for the 2014-2015 academic year, given that this year is the academic year of interest for our study. Data were selected concerning each school’s size (small, with less than 5,000 students enrolled vs. large, with 5,000 or more students enrolled), percent of students enrolled who were women, sector (public or private), and geographic region (Far West, Great Lakes, Mideast, New England, Plains, Rocky Mountains, Southeast, and Southwest).
Data on CSA Prevalence
To determine CSA prevalence for each of the 24 schools in our study during the 2014-2015 academic year, we used information from the AAU Survey administered in April/May 2015 (Cantor et al., 2015). AAU employed a common methodology across schools to assess students’ experiences of CSA victimization. The survey was administered online, with 150,072 students completing the survey (a survey response rate of 19%). Data were weighted to provide current year CSA prevalence estimates representative of each school (Cantor et al., 2015). Several reports document this survey’s findings aggregated across all 27 schools (Cantor et al., 2015; Cantor, Townsend, & Sun, 2016; Fisher, Peterson, & Cantor, 2016; Kaasa, Fisher, Cantor, & Townsend, 2016), and each school was sent a report documenting its own findings. When AAU released the aggregated findings, many of the participating schools posted their specific campus reports and/or data tables online.
The school-level CSA prevalence data for our study were obtained from the school-specific AAU survey data tables/reports, which our team found online or through university staff (if the information was not found online). For each of the 24 schools, our research team abstracted relevant information on the prevalence of CSA among undergraduate women and men defined as nonconsensual penetration or sexual touching involving physical force or incapacitation experienced during the current school year (i.e., academic year 2014-2015). The data we extracted from these reports were already grouped and stratified by gender and educational degree status (undergraduate or graduate/professional student; Cantor et al., 2015). We performed a quality assurance check of our data abstraction and entry among a randomly selected 25% of the schools; the error rate was less than 0.1%.
Data on CSA Policies
Data for 2014-2015 academic year CSA policies were obtained by triangulating information from three school sources: (a) the CSA policy, (b) the Annual Safety and Security Report, and (c) the Undergraduate Student Handbook/Catalog. This information was found by contacting Title IX coordinators and/or through online searches, a process consistent with prior studies examining CSA policy information (Graham et al., 2017; Lund & Thomas, 2015; Richards, Branch, Fleury-Steiner, & Kafonek, 2017). We acquired information from three sources for two schools, two sources for thirteen schools, and one source for nine schools.
We used the Checklist, referenced earlier, to examine each school’s policy documents. The Checklist includes 10 policy elements, with each of the 10 elements including a varying number of specific topics, for a total of 98 topics (refer to the appendix). A team of five data coders then recorded into a standard form whether each school’s policy information contained material on each of the 98 topics. Prior to coding, the data coders piloted the form against the school policies and discussed questions that arose to reach an interpretive consensus. To ensure consistency, the coders double-coded five school policies (~21%).
Statistical Analyses
Descriptive analysis of school characteristics
Counts and percentages were computed from IPEDS data to describe the schools’ characteristics (i.e., school size, percent of students enrolled who were women, sector [public/private], and geographic region). In addition, we calculated mean current year CSA prevalence for undergraduate women and men using data from the AAU Survey.
Correlational analysis of CSA policy comprehensiveness related to CSA prevalence
Each school’s CSA policy data were linked with its CSA prevalence data. We first counted the number of topics (out of a possible 98 topics) identified in the entire CSA policy for each of the 24 schools, reporting the minimum, maximum, and median. In addition, we calculated the minimum, maximum, and median number of topics identified within each of the 10 policy elements. We considered the presence of a greater number of topics, overall in a school’s policy and within each of the 10 elements, as indicators of greater comprehensiveness.
We then assessed whether the comprehensiveness of the policy information was related to school-level CSA prevalence among undergraduate women and men. We employed Kendall’s tau-b to correlate the number of topics within the overall policy, and within each of the 10 elements, with CSA prevalence. Kendall’s tau-b, a nonparametric correlation coefficient, was chosen for these analyses because it does not rely on parametric assumptions necessary for other types of correlation analyses, and it appropriately accounts for tied ranks (Agresti, 2010).
We hypothesized that policies or elements that included a greater number of topics would be related to lower CSA prevalence, resulting in negative correlations. Because of our relatively small sample size of 24 schools, we did not expect to identify statistically significant correlations. Given this expectation, we also considered the number of negative correlations observed for the 10 policy elements and whether that number was greater than expected by chance. A statistically significant finding would potentially suggest that, although sample sizes were not large enough to result in significant correlations between the overall policy or policy elements and CSA prevalence, there is some reasonable evidence that greater policy comprehensiveness is related to lower CSA prevalence.
Exploratory analysis of CSA prevalence by each of the 98 policy topics
We calculated the mean current year CSA prevalence for undergraduate women among the schools with policies that contained each of the specific 98 policy topics. Then, we rank ordered the 98 topics by the CSA prevalence observed, assigning Rank 1 to the topic with the lowest CSA prevalence, Rank 2 to the topic with the next lowest prevalence, and so forth. We used the same process for undergraduate men. For both women and men, we identified which of the 98 topics had the 10 lowest CSA prevalence estimates (the “top 10” topics). We further examined how many of the top 10 topics were the same for both women and men.
Results
School Characteristics
Table 1 shows that, among the 24 schools in our study, nearly all (n = 23, 95.8%) were large (with 5,000 students or more) and enrolled between 33% and 66% women. Fifteen (62.5%) of the schools were public, whereas the remainder were private, and most geographic regions were represented. Among the 24 schools, the mean prevalence of CSA experienced during the current school year was 12.9% (range = 4.7%-17.3%) among undergraduate women and 3.3% (range = 1.4%-5.1%) among undergraduate men.
Sample Characteristics (n = 24 Schools).
Note. Data are for the 2014-2015 academic year. IPEDS = Integrated Postsecondary Education Data System.
Five thousand students or more.
Regions as defined by IPEDS: Far West (AK, CA, HI, NV, OR, WA), Great Lakes (IL, IN, MI, OH, WI), Mideast (DE, DC, MD, NJ, NY, PA), New England (CT, ME, MA, NH, RI, VT), Plains (IA, KS, MN, MO, NE, ND, SD), Rocky Mountains (CO, ID, MT, UT, WY), Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV), and Southwest (AZ, NM, OK, TX).
Comprehensiveness of CSA Policies Related to CSA Prevalence
Table 2 shows that the schools’ entire CSA policies included between 23 and 92 of the 98 possible policy topics (median = 59.5). The correlations between the number of topics in entire policies and CSA prevalence were similar for undergraduate women (tau-b = −.15, p = .31) and undergraduate men (tau-b = −.17, p = .25), with both correlations being negative, but neither reaching statistical significance, likely because of the relatively small sample of schools.
Note. CSA = campus sexual assault.
An explanation of the topics is in the appendix. Topics are from the White House Task Force to Protect Students From Sexual Assault Checklist for Campus Sexual Misconduct Policies (White House Task Force to Protect Students From Sexual Assault, 2014), and elements are also directly from that Checklist.
Defined as nonconsensual penetration or sexual touching involving physical force or incapacitation.
Kendall’s tau-b correlations.
All p-values lacked statistical significance, likely due to small sample size.
One-sided p-value for observed number of negative correlations.
Table 2 also presents information on the number of topics present among each of the 10 policy elements. The median number of topics was 2 for Policy Introduction (out of 2 possible), 5.5 for Policy Scope (out of 8 possible), 10.5 for Assistance Options (out of 13 possible), 2 for Title IX Coordinator (out of 3 possible), 12 for Definitions (out of 18 possible), 9.5 for Reporting (out of 15 possible), 7 for Investigation (out of 12 possible), 9 for Grievance/Adjudication (out of 21 possible), 2 for Prevention (out of 3 possible), and 1.5 for Training (out of 3 possible).
We identified small correlations between the number of topics present in each of the 10 policy elements and school-level CSA prevalence for undergraduate women. None of these correlations reached statistical significance, as expected, likely due to the small sample of 24 schools. However, nine of these 10 correlations were negative in sign (p = .01), a pattern that strongly suggests that greater comprehensiveness of policy elements is likely linked to lower CSA prevalence.
We also identified small correlations between the number of topics present in each of the 10 policy elements and CSA prevalence for undergraduate men, again with none of these correlations reaching statistical significance. However, unlike the pattern demonstrated in the women’s data in which nine of the 10 correlations were negative, only six of the 10 correlations for men were negative (p = .38).
CSA Prevalence Among the 98 Policy Topics
Table 3 presents each of the policy topics, rank ordered by the mean CSA prevalence. For both women and men, the policy topic with the lowest mean current year CSA prevalence is listed first, followed by the topic with the next lowest mean current year CSA prevalence, and so forth.
Note. CSA = campus sexual assault.
Policy topics and elements are from the White House Task Force to Protect Students From Sexual Assault Checklist for Campus Sexual Misconduct Policies (White House Task Force to Protect Students From Sexual Assault, 2014; refer to the appendix for details).
Each mean prevalence was calculated among the schools with that topic present in their policies, weighted to account for school sample size; CSA was defined as nonconsensual penetration or sexual touching involving physical force or incapacitation.
For women, five of the top 10 policy topics with lower CSA prevalence were included in the Grievance/Adjudication element. The 10 topics with the lowest CSA prevalence for women included describing the sexual assault response team from the Assistance Options element, the prohibition of prior consent as sole evidence from the Grievance/Adjudication element, mediation not appropriate from the Grievance/Adjudication element, the process for appeal from the Grievance/Adjudication element, allowable evidence from the Grievance/Adjudication element, sexual exploitation from the Definitions element, the prohibition of prior sexual conduct (as evidence) from the Grievance/Adjudication element, the anonymous reporting process from the Reporting element, a hostile environment from the Definitions element, and the relationships covered by the policy from the Policy Scope element.
For men, five of the top 10 policy topics were also from the Grievance/Adjudication element, three were from the Definitions element, and two were from other elements. The 10 policy topics with the lowest mean current year CSA prevalence for men included describing the sexual assault response team from the Assistance Options element, that mediation is not appropriate from the Grievance/Adjudication element, intimidation from the Definitions element, the third-party reporting process from the Reporting element, the conflict of interest process from the Grievance/Adjudication element, the process for appeal from the Grievance/Adjudication element, a hostile environment from the Definitions element, retaliation from the Definitions element, identification of sanctioners from the Grievance/Adjudication element, and the prohibition of prior sexual conduct (as evidence) from the Grievance/Adjudication element.
Comparison of the topics with the 10 lowest CSA prevalences for women and men showed considerable overlap. Specifically, five of these 10 topics were the same, with these topics including describing the sexual assault response team, the prohibition of prior sexual conduct (as evidence), mediation not being appropriate, the process for appeal, and a hostile environment. Also, for women and men, five of the top 10 topics were found within the Grievance/Adjudication element.
Discussion
This is the first research, of which we are aware, that has found some evidence linking greater comprehensiveness of CSA policies with lower CSA prevalence. For both women and men, correlating the number of topics within an entire CSA policy with CSA prevalence resulted in negative correlations, suggesting that greater comprehensiveness of such policies may be linked to somewhat lower CSA prevalence. However, it should be noted that neither of these negative correlations reached statistical significance. This is likely due to the relatively small sample of schools studied, though it could also reflect the varying degrees of policy implementation, awareness, and enforcement on each campus or the potentially small role that a policy may play relative to other comprehensive prevention programming on campuses. More research is needed with larger samples to confirm our findings.
Examining the comprehensiveness of the 10 CSA policy elements related to CSA prevalence by correlating the number of topics in each of the elements with CSA prevalence also resulted in small-sized correlations, with none of these correlations reaching statistical significance. However, examining the pattern of findings across the 10 elements, in particular, examining the direction of the resulting correlations, uncovered interesting differences between women and men. For women, nine of the 10 correlations were negative, a statistically significant finding, with this pattern strongly suggesting that greater comprehensiveness across policy elements is linked to lower CSA prevalence among women. In contrast, only six of the 10 correlations for men were negative, a nonstatistically significant finding. The women’s data as compared with the men’s showed a stronger pattern linking greater policy comprehensiveness to lower CSA prevalence.
These findings raise the question of why the comprehensiveness of schools’ CSA policies may be more strongly related to CSA prevalence among women than men. It is possible that because more is known about CSA victimization among female students as compared with male students that the policies are informed by this gendered information (Turchik, 2012). In other words, some CSA policies may have been written viewing women as survivors and men as perpetrators. From the perspectives of social cognitive and social norms theories (McAlister et al., 2008; Paul & Gray, 2011), this situation might mean that CSA policy content more directly speaks to potential perpetrators who would commit sexual assault against women, and as such, more effectively deter the perpetration of CSA against women.
When reviewing a subset of policies in our study to explore this idea of gendered language further, we noticed that these policies were missing a focus on issues/resources which might specifically speak to male survivors of CSA. For example, schools should consider naming a point of contact on campus in their policies who can specifically help male survivors. This information might help men feel more comfortable in taking a step toward disclosing, as male survivors of unwanted sexual contact have been shown to disclose less frequently than female survivors to anyone (Banyard et al., 2007). We encourage future research to examine the potentially gendered nature of CSA policies in greater depth. Such research could be part of a broader assessment of male student CSA victimization to help schools further refine their CSA policies to better incorporate male survivors’ experiences and needs.
It is noteworthy that we found substantial variation in the comprehensiveness of schools’ CSA policies. Comprehensiveness is likely influenced by each school’s resources and its capacity to develop, review, and update its CSA policy. Some schools may not have the staff, support, or funds needed to conduct regular updates, whereas other schools may have this capacity.
In addition, it is important to note that the comprehensiveness of CSA policies and the topics included in these policies have been, and may continue to be, influenced by changing federal and state guidance and mandates, an additional reason why CSA policy content may vary. Federal guidance, such as the Checklist used in this study (White House Task Force to Protect Students From Sexual Assault, 2014), encouraged schools to bolster their CSA policies in particular ways. The 2017 rescinding of federal guidance on addressing CSA provided under the Obama Administration, and issuance of a new “Dear Colleague Letter” and “Q & A on Campus Sexual Misconduct” by the U.S. Department of Education (2017a, 2017b), may affect future CSA policy content. Furthermore, evolving state law can affect CSA policy content, as has been seen in recent years when California passed statewide legislation mandating that all colleges and universities adopt affirmative consent definitions in their CSA policies (Student Safety: Sexual Assault Act, 2014). Other states (e.g., New York and Illinois) have also passed statewide legislation regarding CSA, and additional states are considering such action (Affirmative Consent and Respect, 2017).
Our exploration of whether particular policy topics had lower CSA prevalence found that five policy topics (specifically, describing the sexual assault response team, the prohibition of prior sexual conduct [as evidence], mediation not being appropriate, the process for appeal, and a hostile environment) had the lowest CSA prevalences for both women and men. The lowest CSA prevalence for both women and men was among schools with policies that described the sexual assault response team contained within the Assistance Options element. This topic focuses on the processes/resources this team can offer survivors (refer to the appendix; White House Task Force to Protect Students From Sexual Assault, 2014). It may be that this policy topic serves as a marker for a school’s overall focus on addressing CSA, which is why it has the lowest CSA prevalence for both women and men. Prohibition of prior sexual conduct (as evidence) prevents both the survivor’s and the accused’s previous sexual history from being brought into the adjudication process. Mediation not being appropriate is a statement indicating that mediation should never be used in CSA cases. The process for appeal topic details the process that should be followed for appealing a CSA case decision (refer to the appendix; White House Task Force to Protect Students From Sexual Assault, 2014). It may be that lower CSA prevalence occurs among schools that include these policy topics because, like the description of a sexual assault response team, they reinforce a university’s stance to protect the survivor. This stance may then serve to deter CSA perpetration against both women and men by helping to highlight and/or support social norms unaccepting of CSA. In this same manner, providing a definition of what constitutes a hostile environment (refer to the appendix;White House Task Force to Protect Students From Sexual Assault, 2014) may also help deter CSA perpetration, leading to lower CSA prevalence.
It is noteworthy that, for women and men, five of the top 10 topics that had lower CSA prevalence were found within the Grievance/Adjudication element. This finding suggests that Grievance/Adjudication may be an important element for schools to consider including in their policies. As posited by social cognitive theory and the embedded construct of incentive motivation (McAlister et al., 2008), heightening potential perpetrators’ awareness of the process by which CSA is adjudicated and possible penalties for violating a CSA policy may deter perpetration and result in lower CSA.
Strengths and Limitations
This study has multiple strengths. This research is the first attempt of which we are aware to examine potential relationships between schools’ CSA policies and the prevalence of CSA. A second strength is that we used a 2014 federal CSA policy guidance document outlining best practices regarding CSA policies to examine the comprehensiveness of schools’ CSA policies. Finally, the study predictors preceded the outcomes, in that the CSA policies (the predictor variables) were in place prior to the CSA events (the outcomes), which were documented in the AAU survey conducted at the end of the academic year.
This study also has limitations. First, this study included only 24 schools, limiting the statistical power of our analyses, as well as the types of analyses that could be conducted (e.g., subgroup analyses, control of potentially important confounders). In addition, the generalizability of our findings is limited because all these schools are prestigious research universities, most being large, and all being relatively well resourced, which allowed them to support the cost of participating in the AAU Survey. Our findings are also limited by the 19% response rate of the AAU Survey, although the AAU analyses were weighted to take into account nonresponse (Cantor et al., 2015). Finally, our process for identifying the content of CSA policies could have potentially allowed for some misclassification of topics. Although we attempted to obtain as much CSA policy information as possible for every school (through review of policy documents, security reports, student handbooks/catalogs), we were not able to obtain all three sources of information for every school.
Research, Policy, and Practice Implications
Given that this is the first study to examine links between CSA policy and CSA prevalence, and given the limitations of this study, it is premature to derive definitive research, policy, and practice implications from these research findings. However, with appropriate caution, we will offer some ideas on possible implications that may deserve consideration.
Research
Given that most colleges have CSA policies in place, in part, to help prevent CSA, we encourage other researchers to examine potential relationships between CSA policies and CSA prevalence. Our analyses were limited by sample size, an issue that could be addressed in future research. Ideally, more schools would participate in a commonly administered CSA survey, enabling more statistically robust results, increased power to detect differences, and use of more rigorous statistical methods, including those that account for potential confounders and clustering effects (e.g., multilevel modeling; Finch, Bolin, & Kelley, 2014). Potential confounders of the relationship between CSA policy content and CSA prevalence might include the schools’ distributions of students with various characteristics, such as first-year students (Cranney, 2015), female students (Mellins et al., 2017), students who identify as transgender (Griner et al., 2017), students of different races/ethnicities such as African American students (Krebs et al., 2011), or the geographic region where the college resides. Participation of additional schools with diverse characteristics could also help enhance generalizability of results.
Studies designed to greatly oversample small groups who may be at higher risk of experiencing CSA, such as those individuals with disabilities or those who identify as lesbian, gay, bisexual, transgender, queer, intersex, or who identify with additional marginalized identity groups (LGBTQI+) are also needed in the future. For example, the AAU Survey of 27 universities found that students who reported having a disability reported a higher percent of nonconsensual sexual contact involving physical force or incapacitation (21.4%) compared with students who reported that they did not have a disability (11.4%; Cantor et al., 2015). Transgender college students have also been found to experience approximately 2 to 3 times more sexual violence (i.e., sexual touching without consent, attempted sexual penetration, sexual penetration) than their counterparts who identify as female (Griner et al., 2017), and research has demonstrated female students who identify as lesbian or bisexual experience a higher prevalence of sexual assault during college than heterosexual women (Martin, Fisher, Warner, Krebs, & Lindquist, 2011). We were unable to explore the potential relationships between CSA policy content and CSA prevalence for people with disabilities, transgender students, or sexual minority students and call for this important work to be undertaken.
We also encourage longitudinal research examining the impact of changes in CSA policies on changes in CSA. For example, prospective studies could be conducted over a multiyear period assessing whether changing specific policy components result in changes in student knowledge about the CSA policies, as well as changes in student experiences and behaviors (including CSA victimization and perpetration).
Also, CSA policy content could be explored in much greater depth using qualitative analyses. For example, analyses exploring how language and norms from CSA policies are received by students may be important. Understanding whether certain groups (e.g., potential male survivors, potential female perpetrators) would benefit from having information presented in different ways or having different concepts emphasized could be fruitful to further prevention efforts.
Policy
Although more research is needed to clarify the impact of CSA policies on CSA prevalence, our research suggests that comprehensive CSA policies may help to deter CSA. Therefore, using suggested best practices concerning policy review in general (White House Task Force to Protect Students From Sexual Assault, 2014), campus practitioners may wish to routinely review and update their CSA policies in light of not only this research, but also other CSA research. Although this study suggests that CSA policy reviewers should focus special attention on five CSA topics that were linked to lower CSA prevalence (including describing the sexual assault response team, the prohibition of prior sexual conduct [as evidence], mediation not being appropriate, the process for appeal, and a hostile environment), future research may also provide helpful information to inform policy review and revision. Tools such as the Checklist (White House Task Force to Protect Students From Sexual Assault, 2014) may be useful to schools in such an undertaking.
Practice
Although the nonsignificant results we saw in our study were likely due to small sample size, they could also reflect the smaller role that policy plays as compared with other CSA prevention programming on campuses. CSA policy should be just one component of a much more comprehensive CSA prevention strategy used on campuses to inform CSA-related practices. As recommended by the Centers for Disease Control and Prevention (CDC), a multilevel approach based on the social ecological model should be used for violence prevention (CDC, n.d.). CDC’s Sexual Violence on Campus: Strategies for Prevention (Dills, Fowler, & Payne, 2016) provides a useful framework for such activities. Furthermore, CDC suggests implementing effective and promising campus sexual violence prevention programs, such as Green Dot and Bringing in the Bystander (CDC, 2018).
Conclusion
Our study indicates a need to empirically assess the impact of CSA policy on CSA. Our analyses suggest that more comprehensive CSA policies may be linked with somewhat lower CSA prevalence. However, because this is the first study of its kind, and given the limitations of this study, additional research is needed to confirm these findings.
Footnotes
Acknowledgements
This article is a collaboration of the University of North Carolina (UNC) Gender-Based Violence Research Group. The authors acknowledge the UNC Injury Prevention Research Center’s support for this work (CDC/NCIPC/R49CE002479). Research reported in this publication was supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number T32-AI007001 (Stephanie M. DeLong). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors also acknowledge the Caroline H. and Thomas S. Royster Fellowship (Laurie M. Graham) and William R. Kenan Fellowship (Sarah Treves-Kagan) awarded by UNC Chapel Hill.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Authors’ Note
Olivia S. Ashley is now affiliated with Pacific Institute for Research and Evaluation, NC, USA.
