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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50502 - Criminology, penology
Result continuities
Project
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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
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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
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EID of the result in the Scopus database
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