Rape Myth Acceptance in Sexually Assaulted Adolescents' School Contexts: Associations with Depressed Mood and Alcohol Use

Outcomes Associated with Adolescent Dating and Sexual Violence Victimization: A Systematic Review of School-Based Literature

Dating and sexual violence (DSV) is a common occurrence among school aged youth and has been associated with numerous harmful long-term outcomes. The goal of this article is to better understand the range of outcomes associated with DSV during youth and adolescence. This systematic review consists of 28 school-based studies from 20 journals discussing outcomes of youth experiences of DSV. Results demonstrate significant associations between DSV victimization and mental health symptoms, substance use, sexual health, academic, and social outcomes. To better understand this issue, this article recommends that schools offer additional training for staff on recognizing DSV. Additionally, improved research is needed in this area including surveys that are inclusive of diverse student identities and include more comprehensive measures of DSV, and additional research on DSV explicitly focused on minoritized groups.

Measuring Electronically Shared Rape Myths: Scale Creation and Correlates

Increased access to information online (e.g., social media) provides opportunities for exposure to rape myths (i.e., false beliefs about incidents of sexual assault). Social media, in particular, may serve a critical role in shaping rape culture. Thus, it is important to identify ways to assess online exposure to rape myths, especially given the influence online exposure may have on offline behaviors. Data were analyzed from 2,609 18-25-year-old participants (mean age = 20.9 years; 46.1% male; 71.6% White) recruited in 2017 through social media to complete an online survey on experiences and perceptions of sexual violence. We used exploratory and confirmatory factor analyses (EFA, CFA) to evaluate the relatedness of nine items adapted to reflect rape myths posted by friends on social media. We split the sample into training (50%) and testing (50%) sets for the EFA and CFA, respectively, then evaluated the correlation between experiences of sexual violence, substance use, and social media use and exposure to online rape myths. Eigenvalues (1-factor: 5.509; 2-factor: 0.803; 3-factor: 0.704; 4-factor: 0.482), factor loadings, fit statistics (RMSEA: 0.03; CFI: 0.99; TLI: 0.99; SRMR: 0.057), interpretability, and existing theory supported a 1-factor solution, which was supported by CFA fit statistics (RMSEA: 0.021; CFI: 0.99; TLI: 0.99; SRMR: 0.038). Cronbach's alpha of the nine items was .77. Greater exposure to online rape myths was associated with greater likelihood of attempted rape perpetration (β = .052, SE = .016, p < .005), rape victimization (β = .045, SE = .009, p < .005), use of illicit drugs (β = .021, SE = 0.008, p < .05), being male (β = .017, SE = .008, p < .05), and being younger (β = -.008, SE = .002, p < .005). Our findings support assessing exposure to online rape myths, which may be important for informing sexual violence prevention and intervention efforts.

Rape Myth Acceptance Buffers the Association Between Sexual Assault and Posttraumatic Stress Disorder Symptoms Among College Students

Rape myths are cultural beliefs that invalidate, blame, and stigmatize rape survivors, thereby perpetuating sexual violence. Few studies have explored associations between rape myth acceptance (RMA) and mental health outcomes, but evidence suggests that RMA can buffer the mental health impact of some forms of sexual assault. The current study examined the buffering effect of RMA on depression and posttraumatic stress disorder (PTSD) symptoms using self-report data from an online survey of 500 female college students. Findings provided support for the buffering effect of RMA on the association between any sexual assault and PTSD symptoms. Experiencing any sexual assault was significantly associated with greater PTSD symptoms among participants with low RMA, whereas this association was only marginally significant among those with high RMA. Findings demonstrate that there are some contexts in which high RMA might lessen the mental health impact of sexual assault. Thus, it is possible that as progress is made to dismantle rape myths in society, mental health symptoms amongst some survivors may exacerbate, thereby increasing the demand for mental health services.

Development and Validation of the Teen Dating Aggression Measure Among Canadian Youth

Teen dating violence (TDV) victimization is a traumatic experience that can have adverse consequences for adolescents. Current measures that assess TDV do not fully distinguish between psychological and relational forms of aggression, nor do they capture aggressive acts that are common within adolescent relationships. The purpose of this study was to evaluate the psychometric properties of the Teen Dating Aggression Measure (TeDAM) using a sample of 730 Canadian adolescents (M = 15.88 years, SD = 1.23). The measure is an expansion of the Conflict in Adolescent Dating Relationships Inventory and includes items that describe other forms of violence such as coercion and control, along with more traditional indicators of dating violence (e.g., sexual aggression). Factor analyses yielded three factors, namely psychological aggression, sexual and physical aggression, and relational aggression, which were correlated with more frequent cannabis and alcohol use as well as rape myth acceptance. These results provide initial support for the utility of the TeDAM for assessing TDV with adolescents.

For the Good of the Group? Balancing Individual and Collective Risks and Benefits in Community Psychology Research

Balancing risks and benefits is a necessary ethical task for social science researchers. Community psychologists must often consider risks and benefits not just for individual participants, but also for the group, system, or society that those individuals inhabit. Little ethical guidance currently exists for how to navigate this ethical challenge across these multiple levels. In this article, we use a case example of social network research incorporating multiple levels of analysis to identify common risks and benefits and understand their relationship to each other. We conclude by discussing distinctive ethical considerations revealed by this case example.