USING MULTIVARIATE ANALYSIS FOR BETTER EXPLAIN AND PREDICT INTIMATE PARTNER VIOLENCE
DOI:
https://doi.org/10.47743/asas-2024-1-753Keywords:
Domestic violence, Predicting domestic violence, Risk factors, Multivariate analysis, Structural equations modeling.Abstract
This study is intended to be educational and is of particular interest to young researchers. It first aims to present and analyze the most relevant risk factors of intimate partner violence (IPV), then to highlight the most used models in the fight against IPV, and, finally, to discuss them. By incorporating partner-related risk factors into standard screening procedures, we can potentially detect a higher number of women experiencing abuse, as well as those at greater risk of experiencing abuse or physical harm in the future.
References
Bishop J, Patterson PG. (1992). Guidelines for the evaluation and management of family violence. Can J Psychiatry. Sep;37(7):458-81
Bollen, K.A. (1979). Political democracy and the timing of development”, American Sociological Review, 44(4), 572-587.
Bookwala, J. et al. (1992). Predictors of Dating Violence: A Multivariate Analysis. Violence and Victims, Vol. 7 Issue 4.
Brown T.A. (2015). Confirmatory Factor Analysis for Applied Research. Second edition. New York: The Guilford Press.
Burke, P. J. et al. (1989). Gender identity, self-esteem, and physical and sexual abuse in dating relationships. In M. A. Pirog-Good & J. E. Stets (Eds.), Violence in dating relationships: Emerging social issues (pp. 72–93).
Byrne BM. (2012). Structural equation modeling with Mplus: Basic concepts, applications and programming. New York: Routledge.
Campbell J.C. (2002). Health consequences of intimate partner violence. Lancet, 359:1331–1336. 12.
Comité Interministériel aux droits des Femmes et à l’Egalité entre les Femmes et les Hommes (CIEFH). (2018). dossier de presse
Douglas K.S. et al. (1999). Assessing risk for violence among psychiatric patients: the HCR-20 violence risk assessment scheme and the psychopathy checklist: screening version. J Consult Clin Psychol, 67:917–930. 34.
Ellsberg M et al. (2008). Intimate partner violence and women’s physical and mental health in the WHO multicountry study on women’s health and domestic violence: an observational study. Lancet, 371:1165–1172. 14.
Fazel S. et al (2012). Use of risk assessment instruments to predict violence and antisocial behaviour in 73 samples involving 24 827 people: systematic review and metaanalysis. BMJ. 345, 4692. 32.
Feder G, MacMillan HL. (2012). Intimate partner violence. In: Goldman L, Schaefer AL, editors. Goldman’s Cecil medicine. 24th ed. New York (NY): Elsevier Saunders, p 1571–1574. 5.
Ford-Gilboe et al. (2009) Modelling the effects of intimate partner violence and access to resources on women’s health in the early years after leaving an abusive partner. Soc Sci Med., 68:1021–1029. 26.
Garcia-Moreno C., Watts C. (2011). Violence against women: an urgent public health priority. Bull World Health Organ., 89:2. 8.
Heise, L. (1998). Violence against Women. An Integrated, Ecological Framework. Violence against Women, 4, 262-290.
Heise, L. (2011). What works to prevent partner violence? An evidence overview. STRIVE Research Consortium, London School of Hygiene and Tropical Medicine
Hoffman, K. L. et al. (1994). Physical wife abuse in a non-western society: An integrated theoretical approach. Journal of Marriage and the Family, 56(1), 131–146.
Isaac NE., Enos VP. (2001). Documenting domestic violence: How healthcare providers can help victims. Washington DC.
Jewkes R. et al. (2002). Risk factors for domestic violence: findings from a South African cross-sectional study. Soc Sci Med., 55(9):1603-17.
Johnson MP. (2006). Conflict and control. Violence Against Women.,12:1003–1018. 20.
Kline RB. (2016). Principles and practice of structural equation modeling. New York: The Guilford Press.
Mercklé P. (2020). Les méthodes d’équations structurelles (MES) : Pour qui ? Pour quoi faire? Comment ça marche ? par Alain Lacroux (Vendredis Quanti, 31 janvier 2020). Les Vendredis Quanti. https://doi.org/10.58079/t4cf.
Ministère de l’Intérieur et des Outre-Mer. (2022). Etude nationale sur les morts violentes au sein du couple. Année 2022.
Peraud W, Quintard B, Constant A. (2021). Factors associated with violence against women following the COVID-19 lockdown in France: Results from a prospective online survey. PLoS One. Sep 10;16(9)
Plan interministériel pour l’égalité entre les femmes et les hommes (2023 – 2027) Tous et toutes égaux. (2023). dossier de presse
Riggs, D. S., & O'Leary, K. D. (1989). A theoretical model of courtship aggression. In M. A. Pirog-Good & J. E. Stets (Eds.), Violence in dating relationships: Emerging social issues (pp. 53–71). Praeger Publishers.
Stewart DE. et al. (2021). Recognizing and Responding to Intimate Partner Violence: An Update. Can J Psychiatry. 66(1), 71-106.
Tausch, A. (2019). Multivariate analyses of the global accept-ability rates of male intimate partner violence (IPV) against women based on World Values Survey data. The International Journal of Health Planning and Management, 34(4),1155–1194.
Trevillion K. et al. (2012). Domestic violence and mental disorders: a systematic review and meta-analysis. PLoS One.;7(12), e51740. 11.
Varcoe C. et al. (2011). Attributing selected costs to intimate partner violence in a sample of women who have left abusive partners: a social determinants of health approach. Can Public Policy.;37:359–380. 10.
Walton-Moss BJ. et al. (2005). Risk factors for intimate partner violence and associated injury among urban women. J Community Health, 30(5):377-89.
Wang J. & Wang X. (2012). Structural equation modelling: applications using Mplus. Noida: Thomson Digital.
World Health Organization & Pan American Health Organization. (2012). Understanding and addressing violence against women: intimate partner violence. World Health Organization. https://iris.who.int/handle/10665/77432
