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Importance of Psychological Models to Predict Extreme Forms of Violence

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F48135445%3A_____%2F17%3AN0000016" target="_blank" >RIV/48135445:_____/17:N0000016 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Importance of Psychological Models to Predict Extreme Forms of Violence

  • Original language description

    Forensic psychology has recently been intensively engaged in the discipline which is identified as threat assessment. It is aimed at the threat of extreme violence which may arise from a particular person. In this context, there are models of hazard prediction, for example, for grumblers, stalkers, domestic attackers or also potential offenders of various types of multiple murders. The thesis focuses on testing the model of prediction of so-called personally motivated assassinations using the case of mass murder from the domestic environment. Based on the analysis of this case, it defines some limits of the prediction of risk assessment in forensic psychology. The thesis therefore aims to address the question of the practical significance of prediction models for the purpose of preventing extreme violence.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50502 - Criminology, penology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bezpečnostní teorie a praxe

  • ISSN

    1801-8211

  • e-ISSN

  • Volume of the periodical

    Neuveden.

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    16

  • Pages from-to

    53-68

  • UT code for WoS article

  • EID of the result in the Scopus database