Validação de um modelo de traços de personalidade positivos e negativoscomo preditores do bem-estar psicológico aplicando algoritmos de machine learning
DOI:
https://doi.org/10.22235/cp.v18i1.3286Palavras-chave:
traços positivos, traços negativos, personalidade, bem-estar psicológico, algoritmosResumo
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.
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