• DOI:10.14431/aw.2013.03.29.1.27
• Corpus ID: 147159713

Application of BASNEF Model in Prediction of Intimate Partner Violence (IPV) Against Women

@article{Asadi2013ApplicationOB,
  title={Application of BASNEF Model in Prediction of Intimate Partner Violence (IPV) Against Women},
  author={Zahra Sadat Asadi and Vahideh Moghaddam Hosseini and Masumeh Hashemian and Arash Akaberi},
  journal={Asian Women},
  year={2013},
  volume={29},
  pages={27-45}
}

• Z. Asadi, V. M. Hosseini, +1 author A. Akaberi
• Published 1 March 2013
• Psychology
• Asian Women

Although some studies have been carried out about Intimate Partner Violence (IPV) in Iran, little is still known about some predictors such as attitudes, subjective norms and other factors in IPV. Intimate partner violence refers to behaviors that harm physically, socially, and psychologically, including physical aggression, sexual coercion, psychological abuse, and controlling behaviors. In order to understand the factors that contribute to IPV with the ultimate goal of conducting primary prevention interventions, we examined one of the health education and health promotion models: the BASNEF (Belief, Attitudes, Subjective Norm, and Enabling Factors) model as a predictor of IPV against women who were referred to health centers. Data were collected through a questionnaire based on the BASNEF model and the Conflict Tactics Scales. Data were analyzed by descriptive and analytical statistics including Pearson Correlation and Structural Equation Modeling (SEM). Amos software was applied to Structural Equation Modeling. Descriptive and other analyses were performed by SPSS. The significance level was set at 0.05. The findings of the present study indicate that this model predicts IPV partly. Women’s and men’s education levels were related to violence: women with less than seven years education experienced more IPV and women with less educated husbands experienced more violence. Due to the importance of understanding the IPV for health education and health promotion designs, more qualitative and quantitative studies are suggested.