A Descriptive Intersectional Analysis of Intimate Partner Violence and Trans-specific Partner Abuse Among Transgender and Non-binary People in Canada
Abstract
Research Objective: This thesis employs a descriptive quantitative intersectional lens to examine lifetime intimate partner violence (IPV) and past-year trans-specific abuse among transgender and non-binary (TGNB) people in Canada.
Methods: We draw on data from the 2019 Trans PULSE Canada survey, which employed a multi-mode convenience sampling strategy. Descriptive statistics were used to examine the prevalence of lifetime IPV and past-year trans-specific partner abuse. Conditional Inference Tree (CTree) was used as an exploratory approach to identify intersectional subgroups with varying prevalence of the outcomes. We examined the psychometric properties of the trans-specific abuse scale prior to analysis.
Results: Sex work was the strongest predictor of lifetime IPV and past-year trans-specific abuse. Intersectional subgroups with a history of sex work had a higher prevalence of lifetime IPV and past-year trans-specific abuse in the CTree.
Conclusion: Further research should contextualize IPV in TGNB populations within structural inequities, especially for high-risk intersectional groups.