Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Combined Effect of Big 5 Personality Traits on Fourth-Graders´ Math Performance

Version 1 : Received: 16 August 2023 / Approved: 17 August 2023 / Online: 18 August 2023 (09:56:56 CEST)

How to cite: Araya, R.; González-Vicente, P. The Combined Effect of Big 5 Personality Traits on Fourth-Graders´ Math Performance. Preprints 2023, 2023081302. https://doi.org/10.20944/preprints202308.1302.v1 Araya, R.; González-Vicente, P. The Combined Effect of Big 5 Personality Traits on Fourth-Graders´ Math Performance. Preprints 2023, 2023081302. https://doi.org/10.20944/preprints202308.1302.v1

Abstract

children is challenging. An important advance is the 15-questions Pictorial Personality Traits Questionnaire for Children. A study on students from 10 to 13 years old in Poland validated the questionnaire but with some observations. Thus, there is a need for replication and stronger evi-dence in this age group. In Chile, we replicated the study with 3,423 4th-graders (9 to 12 years old). Teachers, in regular sessions, applied the questionnaire to their entire classes. We found similar results, including that asexual pictograms worked well in both genders. We also found positive relationships between conscientiousness, openness, and extraversion with mathematical performance. Furthermore, a combination of these three traits has a relationship with math performance twice as big as each trait alone. Moreover, students with the lowest scores in this combination of personality traits (6.6% of students) have 0.27 standard deviations less in mathematical performance than those with the highest score, which is 74.3% of students. To the best of our knowledge, this is the first time that a study finds a strong relationship between a combination of personality traits gathered with a 15-question questionnaire and fourth-graders´ math perfor-mances.

Keywords

Big 5; Child Personality; Elementary School Mathematic Performance; Socio Emotional Effects; Educational Data Mining

Subject

Social Sciences, Education

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