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Development and Preliminary Validation of the Gender Inclusive Rape Myth Acceptance Scale
Rebekah E Urban1, Claudia Porras Pyland1
1Department of Psychology and Philosophy, 217983Texas Woman's University, Denton, TX, USA.
Abstract:
Rape myths are widespread and contribute to a rape culture that excuses and normalizes permissive attitudes surrounding rape and sexual assault. To combat rape culture and decrease sexual assault, many programs focus on reducing rape myth acceptance (RMA). To best assess outcomes of such prevention efforts, we must ensure we are accurately measuring this construct. Current RMA scales are decades old and focus almost exclusively on cisgender women. As such, they are outdated and leave out important experiences of cisgender men and gender diverse individuals. The Gender Inclusive Rape Myth Acceptance Scale (GIRMA) was developed to address such limitations in current measures. Two studies were completed to develop and establish preliminary validation of the GIRMA. Study One included 614 adults in the United States, recruited through Amazon's Mechanical Turk; Study Two included 414 adults in the United States, recruited in the same way. An exploratory factor analysis was conducted with an original pool of 73 items that included myths about the experiences of cisgender women, cisgender men, transgender, and gender diverse individuals. Parallel analysis indicated a single factor structure for measuring rape myths. A confirmatory factor analysis was conducted for Study Two, which supported the single-factor approach. These analyses resulted in a concise, robust, inclusive 18-item scale to measure rape myths. Model fit was excellent, as was reliability. Additionally, construct validity was supported through examining the relationship between the GIRMA and previously validated RMA and sexism scales. The GIRMA offers researchers the ability to fully assess the construct of rape myths in a short, psychometrically sound manner. Future research is needed to investigate the reliability of the GIRMA in other populations.
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