Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes.
The ability of a wide range of psychological and actuarial measures to characterize crimes in the prison population has not yet been compared in a single study. Our main objective was to determine if the discriminant capacity of psychological measures (PM) and actuarial data (AD) varies according to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5991378?pdf=render |
| _version_ | 1818315490597011456 |
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| author | Carlos Burneo-Garcés Manuel Fernández-Alcántara Agar Marín-Morales Miguel Pérez-García |
| author_facet | Carlos Burneo-Garcés Manuel Fernández-Alcántara Agar Marín-Morales Miguel Pérez-García |
| author_sort | Carlos Burneo-Garcés |
| collection | DOAJ |
| description | The ability of a wide range of psychological and actuarial measures to characterize crimes in the prison population has not yet been compared in a single study. Our main objective was to determine if the discriminant capacity of psychological measures (PM) and actuarial data (AD) varies according to the crime. An Ecuadorian sample of 576 men convicted of Robbery, Murder, Rape and Drug Possession crimes was evaluated through an ad hoc questionnaire, prison files and the Spanish adaptation of the Personality Assessment Inventory. Discriminant analysis was used to establish, for each crime, the discriminant capacity and the classification accuracy of a model composed of AD (socio-demographic and judicial measures) and a second model incorporating PM. The AD showed a superior discriminant capacity, whilst the contribution of both types of measures varied according to the crime. The PM generated some increase in the correct classification percentages for Murder, Rape and Drug Possession, but their contribution was zero for the crime of Robbery. Specific profiles of each crime were obtained from the strongest significant correlations between the value of each explanatory variable and the probability of belonging to the crime. The AD model is more robust when these four crimes are characterized. The contribution of AD and PM depends on the crime, and the inclusion of PM in actuarial models moderately optimizes the classification accuracy of Murder, Rape, and Drug Possession crimes. |
| first_indexed | 2024-12-13T09:06:22Z |
| format | Article |
| id | doaj.art-e5c332a3a091490aae3bf312ea0cf04f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T09:06:22Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-e5c332a3a091490aae3bf312ea0cf04f2022-12-21T23:53:04ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019825110.1371/journal.pone.0198251Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes.Carlos Burneo-GarcésManuel Fernández-AlcántaraAgar Marín-MoralesMiguel Pérez-GarcíaThe ability of a wide range of psychological and actuarial measures to characterize crimes in the prison population has not yet been compared in a single study. Our main objective was to determine if the discriminant capacity of psychological measures (PM) and actuarial data (AD) varies according to the crime. An Ecuadorian sample of 576 men convicted of Robbery, Murder, Rape and Drug Possession crimes was evaluated through an ad hoc questionnaire, prison files and the Spanish adaptation of the Personality Assessment Inventory. Discriminant analysis was used to establish, for each crime, the discriminant capacity and the classification accuracy of a model composed of AD (socio-demographic and judicial measures) and a second model incorporating PM. The AD showed a superior discriminant capacity, whilst the contribution of both types of measures varied according to the crime. The PM generated some increase in the correct classification percentages for Murder, Rape and Drug Possession, but their contribution was zero for the crime of Robbery. Specific profiles of each crime were obtained from the strongest significant correlations between the value of each explanatory variable and the probability of belonging to the crime. The AD model is more robust when these four crimes are characterized. The contribution of AD and PM depends on the crime, and the inclusion of PM in actuarial models moderately optimizes the classification accuracy of Murder, Rape, and Drug Possession crimes.http://europepmc.org/articles/PMC5991378?pdf=render |
| spellingShingle | Carlos Burneo-Garcés Manuel Fernández-Alcántara Agar Marín-Morales Miguel Pérez-García Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. PLoS ONE |
| title | Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. |
| title_full | Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. |
| title_fullStr | Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. |
| title_full_unstemmed | Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. |
| title_short | Are psychological measures and actuarial data equally effective in discriminating among the prison population? Analysis by crimes. |
| title_sort | are psychological measures and actuarial data equally effective in discriminating among the prison population analysis by crimes |
| url | http://europepmc.org/articles/PMC5991378?pdf=render |
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