Skip to main content
Open Access Publications from the University of California

UC Riverside

UC Riverside Electronic Theses and Dissertations bannerUC Riverside

Gendering Intimate Partner Violence: an Analysis of the National Longitudinal Study of Adolescent Health


Scholars have long posited that intimate partner violence (IPV) - physical violence, sexual violence, verbal abuse, and controlling behaviors between intimate partners - is impacted by masculinity norms of aggression and dominance (for example, see Haraway and O'Neil 1999; Moore and Stuart 2005). Despite this topic's immense potential for prevention and treatment policies, quantitative IPV research tends to eschew empirically informed measures of masculinities and femininities in favor of a simplistically binary male-female variable, likely in part because of methodological concerns over how to adequately measure the complexities of gender. This is unfortunate given that the representative nature of large-scale, quantitatively-analyzed research is of great value to policymakers. The present dissertation provides a thorough background on the gender and IPV literatures with a particular focus on the history and benefits of quantifying gender. Additionally, the Bem Sex-Role Inventory, the most widely used measure of gendered psychological traits in the literature, is used to predict IPV in an analysis of 4,027 nationally-representative adolescents in a relationship, data drawn from the National Longitudinal Study of Adolescent Health. This represents the first study using a gender trait measure to predict IPV utilizing a nationally-representative sample. Findings from negative binomial regression and multinomial logistic regression analyses reveal that a lack of femininity - rather than simply the presence of masculinity - predicts an increased risk of IPV perpetration and victimization for both men and women. Methodological and policy implications as well as future directions are discussed.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View