Evidence map›Paper›PMID 31731781›Full record

ArticleInternational journal of environmental research and public health2019

Expressiveness and Instrumentality of Crime Scene Behavior in Spanish Homicides.

María Del Mar Pecino-Latorre, María Del Carmen Pérez-Fuentes, Rosa María Patró-Hernández, Jorge Santos-Hermoso

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

María Del Mar Pecino-LatorreDepartment of Psychology, University of Almería, 04120 Almería, Spain.
María Del Carmen Pérez-FuentesDepartment of Psychology, University of Almería, 04120 Almería, Spain.
Rosa María Patró-HernándezDepartment of Psychology, University of Murcia, 30100 Murcia, Spain.
Jorge Santos-HermosoInstitute of Forensic Sciences and Security, Autonomous University of Madrid, 28049 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the current trends in the study of criminal profiling consists of developing theoretical and methodological typologies to offer information of operational use in police investigations. The objective of this work was to verify the validity of the instrumental/expressive model, so as to establish homicide typologies based on modus operandi relationships, characteristics of the victims, and characteristics of perpetrators. The sample consisted of 448 homicide cases registered in the database of the Homicide Revision Project of the Office of Coordination and Studies of the Spanish Secretary of State and Security. Through multidimensional scaling and cluster analysis, three expressive homicide subtypes were identified (expressive-impulsive, expressive-distancing, and expressive-family), as well as two instrumental homicide subtypes (instrumental-opportunist and instrumental-gratification). The expressive homicide typologies accounted for almost 95% of all of the studied cases, and most of the homicides occurring in Spain were found to take place between individuals who know one another (friends, family members, intimate couples/ex-couples). The findings from this study suggest that the instrumental/expressive model may be a useful framework for understanding the psychological processes underlying homicides, based on the study of relationships between the crime and aggressor characteristics, which may be very helpful in the prioritization of suspects.

Indexed as

AdultCriminalsFamilyFemaleHomicideHumansImpulsive BehaviorInterpersonal RelationsMaleMiddle AgedSpaincrime scene behaviorcriminal profilingdelinquentexpressive homicidehomicideinstrumental homicide

Identifiers

PMID31731781
PMCPMC6887756

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.