USING MULTIVARIATE ANALYSIS FOR BETTER EXPLAIN AND PREDICT INTIMATE PARTNER VIOLENCE

Auteurs

  • NADJI RAHMANIA
  • CRISTINA TEODORESCU

DOI :

https://doi.org/10.47743/asas-2024-1-753

Mots-clés :

Violence domestique, Prédiction de la violence domestique, Facteurs de risque, Analyse multivariée, Modélisation d'équations structurelles

Résumé

Cette étude se veut pédagogique et s'adresse aux jeunes chercheurs ; elle vise dans un premier temps à présenter et analyser de manière critique les facteurs de risque les plus pertinents de la violence conjugale, puis à identifier les modèles les plus utilisés dans la lutte contre ce type de violence et à les discuter. Grâce à l'intégration des facteurs de risque dans les protocoles de dépistage, nous pouvons ainsi identifier plus facilement de femmes maltraitées et celles qui courent un plus grand risque de maltraitance et de blessures.

Bibliographies de l'auteur

NADJI RAHMANIA

Nadji Rahmania is a professor at the University of Lille and a member of the “Paul Painlevé” Research Laboratory (UMR CNRS 8524). He is the author and co-author of numerous international publications as a specialist in the fields of applied mathematics, mathematical sociology, and econometrics.

CRISTINA TEODORESCU

Cristina Teodorescu is a senior lecturer at ESSLIL, Catholic University of Lille, and a member of the Social Work Studies and Research Group (GERTS-Ethics EA7446). Doctor in sociology, a post-doc in “Ethics of Health Policies”, she also holds a DESS in Survey Engineering in Social Sciences. Her research is at the crossroads of questions relating to the ethics of migration, vulnerability, civic engagement, sustainability, and community development. His teaching mainly focuses on research methodology, social psychology, psychosocial, and intercultural skills.

 

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Fichiers supplémentaires

Publiée

2024-07-31