Previous research indicates that survivors of sexual assault often blame themselves for the assault. Research has also shown that people blame the perpetrator in some situations and the survivor in other situations involving sexual assault. The purpose of this study was to discover if survivors of sexual assault who blame themselves tend to blame other survivors (survivor blame) in situations different from their own. Another purpose was to assess whether or not sexual assault survivors who do not blame themselves for their attack tend to blame other survivors. The participants' attributional style was also assessed in order to understand the relations between self-blame and survivor blame in situations involving sexual assault. Findings indicated that certain types of attributional style are related to self-blame in sexual assault survivors and blame toward sexual assault survivors depicted in vignettes. This indicates that attributional style may have important implications in the clinical setting to aid sexual assault survivors who experience self-blame, as well in educating society about sexual assault and the ultimate responsibility of perpetrators.

Using hierarchical multiple linear regression, this study examined the predictive relationship between micro-career transitions and career related outcomes and how those relationships were moderated by equilibration style. Participants (n = 177) answered an online survey which included a variety of measures for control, predictor, moderator, and outcome criterion (i.e., demographic descriptors, Instrumentality, Openness, Job Insecurity, Social Support Satisfaction, Microtransitions, Equilibration Style, Job Satisfaction, Job Burnout, Life Dissatisfaction, and Career Optimism). Research questions addressed the nature of micro-career transitions (e.g., frequencies, average stress ratings, category types), their predictive relationship with job and career outcomes, and the moderating role of Identity Styles on that relationship. Micro-career transitions were described according to responses for the research sample (n = 638). Significant effects were discovered between microtransitions and career outcomes (p < .05 and .01). Equilibration styles were also established as having a moderating effect on the predictive relationship between microtransitions and career outcomes (p < .05 and .01). Interaction terms were decomposed to examine the direction of significant moderating effects. In all cases where interaction terms were significant, moderators enhanced the negative predictive relationship between microtransitions and career outcomes.