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Perceived Proximal Warning Behaviors in Cases of Severe Targeted Violence at German Schools: A Retrospective Longitudinal Analysis.

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Title: Perceived Proximal Warning Behaviors in Cases of Severe Targeted Violence at German Schools: A Retrospective Longitudinal Analysis.
Authors: Ahlig, N.1 (AUTHOR) nadine.ahlig@fu-berlin.de, Allwinn, M.2 (AUTHOR), Leuschner, V.3 (AUTHOR), Allely, C. S.4 (AUTHOR), Scheithauer, H.1 (AUTHOR)
Source: Journal of School Violence. Apr-Jun2026, Vol. 25 Issue 2, p177-191. 15p.
Subject Terms: *School violence & psychology, *High schools, *Behavior disorders, *Retrospective studies, *Longitudinal method, *School violence, *Adolescence, Research funding, Descriptive statistics, Teenagers' conduct of life, Data analysis software
Geographic Terms: Germany
Abstract: The recognition and management of students who exhibit warning behaviors (WBs) is an important prerequisite for the prevention of severe targeted acts of violence at schools (STSV). In the present study, the temporal occurrence of proximal WBs was retroactively examined in 11 German cases. The WBs were plotted chronologically, starting from the initial WB up to the day of the STSV. Only the behavior perceived at the time was evaluated, without including information that only became known after the STSV. A prototypical temporal order of initial perception was identified. In each case, WBs were already perceived before the first Leakage or Directly communicated threat. WBs can usually only be recognized as such in a wider psychosocial context (e.g. including information about current psycho-social crises). The findings highlight the need to establish structures at schools in cooperation with other institutions as part of a threat assessment and management for indicated prevention. [ABSTRACT FROM AUTHOR]
Copyright of Journal of School Violence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Perceived Proximal Warning Behaviors in Cases of Severe Targeted Violence at German Schools: A Retrospective Longitudinal Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+School+Violence%22">Journal of School Violence</searchLink>. Apr-Jun2026, Vol. 25 Issue 2, p177-191. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
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  Data: The recognition and management of students who exhibit warning behaviors (WBs) is an important prerequisite for the prevention of severe targeted acts of violence at schools (STSV). In the present study, the temporal occurrence of proximal WBs was retroactively examined in 11 German cases. The WBs were plotted chronologically, starting from the initial WB up to the day of the STSV. Only the behavior perceived at the time was evaluated, without including information that only became known after the STSV. A prototypical temporal order of initial perception was identified. In each case, WBs were already perceived before the first Leakage or Directly communicated threat. WBs can usually only be recognized as such in a wider psychosocial context (e.g. including information about current psycho-social crises). The findings highlight the need to establish structures at schools in cooperation with other institutions as part of a threat assessment and management for indicated prevention. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of School Violence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=192584815
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        Value: 10.1080/15388220.2025.2558645
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      – SubjectFull: High schools
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      – SubjectFull: Behavior disorders
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      – SubjectFull: Retrospective studies
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      – SubjectFull: Longitudinal method
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      – SubjectFull: School violence
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      – SubjectFull: Data analysis software
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      – SubjectFull: Germany
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              Text: Apr-Jun2026
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              Y: 2026
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