Much of the clinical and gender studies literature has focused on the differences between transgender spectrum and cisgender experiences of self-categorization. In this talk, I examine the potential similarities in self-categorization structure for trans* and cis respondents from a personality perspective. This work is an extension of my recently published review paper in Review of General Psychology (Tate, Youssef, & Bettergarcia, 2014). Specifically, I discuss my lab's work on the felt-sense of gender self-categorization—which we operationalize as the amount of self and discrete gender category overlap across multiple gender categories. Results from three studies show that these self-category overlap ratings are the only measures that recover adults’ self-categorizations as female, male, or nonbinary. Furthermore, this overlap measure outperforms other measures associated with gender identity, such as self-rated gender typicality and gender identity importance. Crucially, this self-gender-category overlap measure works equally well for binary respondents (i.e., women and men across cis or trans profiles) and thereby suggests a fundamental similarity in the self-categorization structures of female and male. Finally, I also detail the use of this measure for two different types of nonbinary respondents (i.e., genderblended and post-gender).
This event is co-sponsored by Psychology, Women's Studies, and LGQRI.