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Intimate Partner Violence: A Stochastic Model.

Elisa Guidi1, Patrizia Meringolo2, Andrea Guazzini2

  • 1Department of Information Engineering, University of Florence, Italy. - Department of Education and Psychology, University of Florence, Italy. - Center for the Study of Complex Dynamics, University of Florence, Italy.

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This study introduces stochastic models to simulate intimate partner violence (IPV) dynamics in couples. Findings suggest environmental factors influence IPV, offering insights for prevention strategies.

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Area of Science:

  • Psychology
  • Sociology
  • Mathematical Modeling

Background:

  • Intimate partner violence (IPV) is a significant issue studied via traditional methods.
  • Existing research often uses qualitative, quantitative, or mixed methods.

Purpose of the Study:

  • To introduce two basic stochastic models for simulating couple dynamics at risk of IPV.
  • To explore short-term and long-term behavioral changes within couples.
  • To analyze the impact of environmental perceptions on IPV.

Main Methods:

  • Development of two discrete-time stochastic models.
  • Modeling individuals within a couple as having finite states with probabilistic transitions.
  • Analysis of couple evolution in isolation and in response to perceived environmental violence or social support.

Main Results:

  • Perceived high violence in other couples can lead to gender-specific IPV transmission.
  • Gender differences in IPV dynamics diminish with perceived informal social support.
  • The models generate results comparable to existing experimental IPV studies.

Conclusions:

  • Stochastic models offer a viable alternative for studying IPV dynamics.
  • Environmental factors and social support play crucial roles in IPV.
  • The models provide practical implications for IPV prevention interventions.