This research used logistic regression to test components of Choice and Lamke's (1997) two-part decisionmaking model and Hamby's (2008) holistic risk assessment as predictors of the decision to separate from an abusive partner, comparing significant predictors for immigrant (n = 497) and nonimmigrant (n = 808) women. Findings demonstrated that immigrant women reported higher levels of perceived risks/barriers to leaving, provided some support for the use of a holistic risk assessment in understanding women's decisions to leave, and demonstrated that immigrant and nonimmigrant women have both similarities and differences in the factors that predict leaving. Clinical and policy implications are addressed. Abstract published by arrangement with Sage Journals.
Downloads
Similar Publications
- The Role of Simulated Data in Making the Best Predictions (from the 87th Annual Meeting of the American Association of Physical Anthropologists - 2018)
- Advancing Police-researcher Collaboration and Evidence-based Policing: an Evaluation of the Applied Criminology and Data Management Course
- Perceived neighborhood crime and gun carrying behavior: examining the role of a history of traumatic brain injury