Violence Against Women
Volume 18, Issue 5, 2012, Pages 611-633

Immigrant and Nonimmigrant Women: Factors That Predict Leaving an Abusive Relationship (Article)

Amanor-Boadu Y.* , Messing J.T. , Stith S.M. , Anderson J.R. , O'Sullivan C.S. , Campbell J.C.
  • a Kansas State University, 108 Campus Creek Complex, Manhattan, KS 66506, United States
  • b Arizona State University, Phoenix Metropolitan Area, AZ, United States
  • c Kansas State University, 108 Campus Creek Complex, Manhattan, KS 66506, United States
  • d Kansas State University, 108 Campus Creek Complex, Manhattan, KS 66506, United States
  • e Independent researcher, New York, NY, United States
  • f Johns Hopkins University, Baltimore, MD, United States

Abstract

This research used logistic regression to test components of Choice and Lamke's (1997) two-part decision-making 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. © The Author(s) 2012.

Author Keywords

stay/leave decision Immigration Intimate partner violence

Index Keywords

Interpersonal Relations psychological aspect human risk assessment comparative study Marital Status Logistic Models Spouse Abuse human relation marriage Humans Emigrants and Immigrants female Article adult partner violence Women migration patient attitude Choice Behavior Patient Acceptance of Health Care statistical model decision making
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865165884&doi=10.1177%2f1077801212453139&partnerID=40&md5=3f2e0c82f238c80966f04f1647d2d156
DOI: 10.1177/1077801212453139
ISSN: 10778012
Cited by: 35
Original Language: English