This article examines the difference in blame attribution between men and women, heterosexuals and homosexuals, and heterosexual males, heterosexual females, gay males, and lesbians in response to a vignette depicting the acquaintance rape of a heterosexual female ( n = 177). While the levels of empathy for the victim and blaming of the perpetrator were high for every group and blaming of the victim and rape myth acceptance were low for every group, some important trends emerged. Consistent with previous research, women reported higher rates of empathy for the victim, lower rape myth acceptance, and lower victim blaming than did men. Men and homosexuals had higher rates of victim blaming and were more likely to excuse the perpetrator's behavior than were women and heterosexuals, respectively. Lesbians had various patterns where they were at times more similar to heterosexual males (e.g., how much they blamed the perpetrator) or heterosexual females (e.g. in terms of empathy levels). They were consistently different from gay males. Further, the majority of differences were attributed to gay males, who had the highest levels of victim blaming and empathy for the perpetrator, were the most likely to excuse the perpetrator's behavior, and had the highest rate of rape myth acceptance of all of the groups. We conclude that sex and sexual identity interact to shape attributions about rape and discuss avenues for future research to explore these patterns.
This research examines how binary gender (male or female) interacts with trans status (cis or trans) to determine rape myth acceptance (RMA), perceived similarity, victim empathy, and victim blaming. Utilizing vignette methodology with an acquaintance rape scenario with a heterosexual female victim, we analyze these variables using multivariate ordinary least squares (OLS) and ordered logit regression. We find support for the argument that both harm avoidance and blame avoidance are operating to predict similarity, empathy, and victim blaming experienced by cisgender and transgender individuals. We argue that this is based on in-group identification from both gender identity and perceived likelihood of future victimization. Specifically, we find that cisgender men have the lowest rates of perceived similarity. Transgender women have the highest rates of empathy whereas cisgender women and trans men have lower rates of victim blaming than cisgender men. Results suggest that the interaction between binary gender and trans status influence perceptions of rape myths and victimization.
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