Blame Avoidance and Transgender Individuals' Attributions About Rape: Unpacking Gendered Assumptions in Defensive Attribution Research
| Autor: | Olivia Mann, Julia Marin Hellwege, Bridget K. Diamond-Welch |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
media_common.quotation_subject education Defensive attribution hypothesis Empathy Transgender Persons Blame Transgender medicine Humans 0501 psychology and cognitive sciences health care economics and organizations Applied Psychology Crime Victims media_common 050901 criminology 05 social sciences Gender Identity social sciences medicine.disease humanities Clinical Psychology Vignette Social Perception Rape behavior and behavior mechanisms Harm avoidance Female Ordered logit 0509 other social sciences Psychology Attribution Social psychology 050104 developmental & child psychology |
| Zdroj: | Journal of interpersonal violence. 36(9-10) |
| ISSN: | 1552-6518 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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