Exploration of the Big Five: Educational Correlations, Dimensionality Reduction and Clustering Techniques

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Abstract

This study analyzed the Big Five personality traits using dimensionality reduction techniques, ANOVA, hierarchical clustering, and tests on correlation and coherence. Based on 25 items from the International Personality Item Pool collected through a web-based initiative, we examined subscales of agreeableness, conscientiousness, extraversion, neuroticism, and openness, along with sociodemographic variables such as education, age, and gender. The findings reveal significant correlations among traits and highlight the complex relationships between personality traits and educational factors. These results suggest important implications for understanding how personality influences mental well-being and for developing advanced psychometric tools and personalized interventions aimed at improving mental health outcomes.

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