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The High Five Model as a predictor of academic performance over conventional psychological predictors in university students.
Quito-Calle, Jessica V; Cosentino, Alejandro César.
Afiliação
  • Quito-Calle JV; Psychology Research Group (GIPSI-SIB), Faculty of Psychology, Universidad Politécnica Salesiana, Cuenca, Ecuador.
  • Cosentino AC; Department of Psychology, Faculty of Social Sciences, Universidad de Palermo, Buenos Aires, Argentina.
Front Psychol ; 15: 1383154, 2024.
Article em En | MEDLINE | ID: mdl-38840745
ABSTRACT

Introduction:

The High Five Model (HFM) categorizes five positive human characteristics-erudition, peace, joviality, honesty, and tenacity-utilizing an inductive psycholexic approach. This study examines the predictive power of HFM on academic performance among university students, hypothesizing that it surpasses conventional predictors such as academic motivation, exam anxiety, and academic procrastination.

Methods:

A non-experimental cross-sectional correlational design was implemented using a non-probabilistic convenience sample of 1,007 Ecuadorian university students (403 females). Self-reported measures of the "high factors," academic motivation, exam anxiety, and academic procrastination were collected. Linear regression analysis was utilized to evaluate the predictive capacity of the HFM on academic performance.

Results:

The analysis revealed that the high factors of the HFM significantly predict academic performance, demonstrating a stronger predictive ability than traditional psychological predictors.

Discussion:

The findings suggest that incorporating the HFM into academic settings could enhance understanding and prediction of student performance. This could potentially inform targeted interventions that leverage these high factors, thereby fostering better academic outcomes. Further research could explore the integration of the HFM with other educational strategies and its applicability across diverse educational contexts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça