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Modelling bullying propagation in Spain: a quantitative and qualitative approach

Author

Listed:
  • Elena De la Poza

    (Universitat Politècnica de València)

  • Lucas Jódar

    (Universitat Politècnica de València)

  • Lucía Ramírez

    (Universitat Politècnica de València)

Abstract

Bullying in schools can be defined as a category of aggressive behaviour with an imbalance of power, and aggression event is repeated over time. Bullying occurs as a social process in nature, and takes place in groups. Attacks are mostly unprovoked, and can be physical or verbal, direct or indirect. This paper focuses on modelling the propagation of bullying in the Spanish school population aged [12, 18] during the period July 2015–January 2020, and on identifying and quantifying its main drivers. Thus, a population dynamics model is built to forecast and quantify the magnitude of the bullying problem in Spain over the July 2015–January 2020 period by taking into account qualitative and quantitative factors; e.g., demography, economy, socio-cultural behaviour, consumption of drugs and alcohol, social contagion and technology. The study provides recommendations to reduce and prevent the growth of this social problem, but to also mitigate a correlated problem, such as intimate partner violence among adults. In fact one of the main utilities of the built model is that new policies can be simulated and allow their effects to be seen.

Suggested Citation

  • Elena De la Poza & Lucas Jódar & Lucía Ramírez, 2018. "Modelling bullying propagation in Spain: a quantitative and qualitative approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1627-1642, July.
  • Handle: RePEc:spr:qualqt:v:52:y:2018:i:4:d:10.1007_s11135-017-0541-4
    DOI: 10.1007/s11135-017-0541-4
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    References listed on IDEAS

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    1. E. De La Poza & L. Jódar & A. Pricop, 2017. "Modelling and analysing voting behaviour: the case of the Spanish general elections," Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1287-1297, March.
    2. Anna Öster & Jonas Agell, 2007. "Crime and Unemployment in Turbulent Times," Journal of the European Economic Association, MIT Press, vol. 5(4), pages 752-775, June.
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    Cited by:

    1. Sheila Torres & Rafael Company & Lucas Jódar, 2022. "Modeling Immigration in Spain: Causes, Size and Consequences," Mathematics, MDPI, vol. 10(9), pages 1-12, April.

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