<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1688-4221</journal-id>
<journal-title><![CDATA[Ciencias Psicológicas]]></journal-title>
<abbrev-journal-title><![CDATA[Cienc. Psicol.]]></abbrev-journal-title>
<issn>1688-4221</issn>
<publisher>
<publisher-name><![CDATA[Universidad Católica del Uruguay.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1688-42212024000101213</article-id>
<article-id pub-id-type="doi">10.22235/cp.v18i1.3286</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Validación de un modelo de rasgos positivos y negativos de personalidad como predictores del bienestar psicológico aplicando algoritmos de machine learning]]></article-title>
<article-title xml:lang="pt"><![CDATA[Validação de um modelo de traços de personalidade positivos e negativoscomo preditores do bem-estar psicológico aplicando algoritmos de machine learning]]></article-title>
<article-title xml:lang="en"><![CDATA[Validation of a model of positive and negative personality traits as predictors of psychological well-being using machine learning algorithms]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castro Solano]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lupano Perugini]]></surname>
<given-names><![CDATA[María Laura]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Caporiccio Trillo]]></surname>
<given-names><![CDATA[Micaela Ailén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cosentino]]></surname>
<given-names><![CDATA[Alejandro César]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Buenos Aires Universidad de Palermo Conicet]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Buenos Aires Universidad de Palermo Conicet]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Buenos Aires  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de Buenos Aires Universidad de Palermo ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>18</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_arttext&amp;pid=S1688-42212024000101213&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_abstract&amp;pid=S1688-42212024000101213&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_pdf&amp;pid=S1688-42212024000101213&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: El objetivo de este estudio fue verificar un modelo predictivo de rasgos de personalidad positivos y negativos tomando como criterio el bienestar psicológico mediante la implementación de algoritmos de machine learning. Participaron 2038 sujetos adultos (51.9 % mujeres). Para la recolección de datos se utilizó: Big Five Inventory y Mental Health Continuum-Short Form. Además, para evaluar los rasgos positivos y negativos de personalidad se utilizaron los ítems ya validados de los modelos de rasgos positivos (HFM) y negativos (BAM) de forma conjunta. A partir de los hallazgos encontrados se pudo verificar que la eficacia predictiva del modelo testeado de rasgos positivos y negativos derivados de un enfoque léxico resultó superior a la capacidad predictiva de los rasgos normales de personalidad para la predicción del bienestar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: O objetivo do estudo foi verificar um modelo preditivo de traços de personalidade positivos e negativos tendo como critério o bem-estar psicológico por meio da implementação de algoritmos de machine learning. Participaram 2.038 sujeitos adultos (51,9 % mulheres). Para a coleta de dados foram utilizados: Big Five Inventory e Mental Health Continuum-Short Form. Além disso, para avaliar os traços de personalidade positivos e negativos, foram utilizados conjuntamente os itens já validados dos modelos de traços positivos (HFM) e negativos (BAM). Foi possível verificar que a eficácia preditiva do modelo testado de traços positivos e negativos derivados de uma abordagem lexical foi superior à capacidade preditiva de traços normais de personalidade para a predição do bem-estar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The objective of the study was to verify a predictive model of positive and negative personality traits taking psychological well-being as a criterion through the implementation of machine learning algorithms. 2038 adult subjects (51.9 % women) participated. For data collection were used: Big Five Inventory and Mental Health Continuum-Short Form. In addition, to assess the positive and negative personality traits, the already validated items of the positive (HFM) and negative trait models (BAM), were used jointly. Based on the findings found, it was possible to verify that the predictive efficacy of the tested model of positive and negative traits, derived from a lexical approach, was superior to the predictive capacity of normal personality traits for the prediction of well-being.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[rasgos positivos]]></kwd>
<kwd lng="es"><![CDATA[rasgos negativos]]></kwd>
<kwd lng="es"><![CDATA[personalidad]]></kwd>
<kwd lng="es"><![CDATA[bienestar psicológico]]></kwd>
<kwd lng="es"><![CDATA[algoritmos]]></kwd>
<kwd lng="pt"><![CDATA[traços positivos]]></kwd>
<kwd lng="pt"><![CDATA[traços negativos]]></kwd>
<kwd lng="pt"><![CDATA[personalidade]]></kwd>
<kwd lng="pt"><![CDATA[bem-estar psicológico]]></kwd>
<kwd lng="pt"><![CDATA[algoritmos]]></kwd>
<kwd lng="en"><![CDATA[positive traits]]></kwd>
<kwd lng="en"><![CDATA[negative traits]]></kwd>
<kwd lng="en"><![CDATA[personality]]></kwd>
<kwd lng="en"><![CDATA[psychological well-being]]></kwd>
<kwd lng="en"><![CDATA[algorithms]]></kwd>
</kwd-group>
</article-meta>
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