Sexual homicide and the forensic process: The decision-making process of collecting and analyzing traces and its implication for crime solving.
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| Titel: | Sexual homicide and the forensic process: The decision-making process of collecting and analyzing traces and its implication for crime solving. |
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| Autoren: | Bitzer S; Université Catholique de Louvain, Belgium. Electronic address: sonja.bitzer@uclouvain.be., Chopin J; International Centre for Comparative Criminology, Canada; Simon Fraser University, Canada; Laval University, Canada. Electronic address: julien.chopin@umontreal.ca., Beauregard E; Simon Fraser University, Canada. Electronic address: ebeaureg@sfu.ca., Mousseau V; International Centre for Comparative Criminology, Canada; University of Montreal, Canada. Electronic address: vincent.mousseau.1@umontreal.ca., Fortin F; International Centre for Comparative Criminology, Canada; University of Montreal, Canada. Electronic address: francis.fortin@umontreal.ca. |
| Quelle: | Forensic science international [Forensic Sci Int] 2022 Nov; Vol. 340, pp. 111446. Date of Electronic Publication: 2022 Sep 05. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE |
| Imprint Name(s): | Publication: Limerick : Elsevier Science Ireland Original Publication: Lausanne, Elsevier Sequoia. |
| MeSH-Schlagworte: | Crime Victims* , Criminals*, Crime ; Forensic Medicine ; Homicide ; Humans ; Sexual Behavior |
| Abstract: | The focus of the current study is to examine the collection and analysis of traces that are related to crime scene behaviors in sexual homicide cases as well as the factors influencing the solving of these crimes. Using 230 sexual homicide cases from the SHielD database, we computed two neural network models based on the multi-layer perceptron algorithm. First, we determined whether certain crime scene characteristics predicted the collection and analysis of traces (dependent variable for Model 1). Not surprisingly, the results indicate that trace collection and analysis were more likely to occur in sexual homicide cases with crime scene behaviors exhibiting the highest risk for trace transfer (e.g. close interactions with the victim) as well as the best conditions for trace persistence (e.g. body is found indoors). Situational and physical aspects of the crime scene are thus taken into account when deciding on the collection and analysis of traces. Second, we examined the situations in which the collection and analysis of traces contributes to crime solving (dependent variable for Model 2). The results suggest that the collection and analysis of traces does not necessarily predict the resolution of the case. Specifically, the analyses show that the collection and analysis of traces is useful for crime solving when: (1) the offenders' behaviors increase the opportunities for leaving traces at the crime scene, and (2) when the environmental and temporal aspects are favorable to the collection of traces. The impact of trace collection and analysis on case resolution is thus depending on the context of the case. Furthermore, the subsequent steps, such as the result of the trace analysis, the introduction into a database, the obtention of a result from this comparison, etc. might also affect case resolution, and thus interfere in the link between trace collection and analysis and case resolution. (Copyright © 2022 Elsevier B.V. All rights reserved.) |
| Competing Interests: | Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Crime solving; Criminal investigation; Neural network analysis; Sexual homicide; Traces |
| Entry Date(s): | Date Created: 20220918 Date Completed: 20221012 Latest Revision: 20221012 |
| Update Code: | 20250114 |
| DOI: | 10.1016/j.forsciint.2022.111446 |
| PMID: | 36116271 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | The focus of the current study is to examine the collection and analysis of traces that are related to crime scene behaviors in sexual homicide cases as well as the factors influencing the solving of these crimes. Using 230 sexual homicide cases from the SHielD database, we computed two neural network models based on the multi-layer perceptron algorithm. First, we determined whether certain crime scene characteristics predicted the collection and analysis of traces (dependent variable for Model 1). Not surprisingly, the results indicate that trace collection and analysis were more likely to occur in sexual homicide cases with crime scene behaviors exhibiting the highest risk for trace transfer (e.g. close interactions with the victim) as well as the best conditions for trace persistence (e.g. body is found indoors). Situational and physical aspects of the crime scene are thus taken into account when deciding on the collection and analysis of traces. Second, we examined the situations in which the collection and analysis of traces contributes to crime solving (dependent variable for Model 2). The results suggest that the collection and analysis of traces does not necessarily predict the resolution of the case. Specifically, the analyses show that the collection and analysis of traces is useful for crime solving when: (1) the offenders' behaviors increase the opportunities for leaving traces at the crime scene, and (2) when the environmental and temporal aspects are favorable to the collection of traces. The impact of trace collection and analysis on case resolution is thus depending on the context of the case. Furthermore, the subsequent steps, such as the result of the trace analysis, the introduction into a database, the obtention of a result from this comparison, etc. might also affect case resolution, and thus interfere in the link between trace collection and analysis and case resolution.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.) |
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| ISSN: | 1872-6283 |
| DOI: | 10.1016/j.forsciint.2022.111446 |