Quantifying Marginality Across the Globe: An Empirical Assessment of Vigil’s Multiple Marginality Model in Predicting Gang Involvement

Abstract

Vigil’s multiple marginality (MM) model of gang formation has resulted in hypotheses about why minority youth join gangs, and how these processes play out at multiple levels of analysis and across contexts. However, with a few exceptions, this framework has rarely been tested quantitatively, and especially in countries outside of North America. The current study assesses the MM model using data from the Second International Self-Report Delinquency Study and aggregate country-level data. Results from multilevel analyses reveal some support for the framework, in that at least one measure of each component of the MM model was found to be a significant predictor of gang membership. Controlling for individual and country variables, measures of street socialization exhibited the strongest effects on gang involvement. Yet not all proposed factors were significant predictors across all models. Longitudinal data are necessary to fully support the dynamics of the MM model.