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Personality and Intelligence Interact in the Prediction of Academic Achievement.
Bergold, Sebastian; Steinmayr, Ricarda.
Affiliation
  • Bergold S; Department of Psychology, Technical University Dortmund, Emil-Figge-Straße 50, 44227 Dortmund, Germany. sebastian.bergold@tu-dortmund.de.
  • Steinmayr R; Department of Psychology, Technical University Dortmund, Emil-Figge-Straße 50, 44227 Dortmund, Germany. ricarda.steinmayr@tu-dortmund.de.
J Intell ; 6(2)2018 May 10.
Article in En | MEDLINE | ID: mdl-31162454
Personality predicts academic achievement above and beyond intelligence. However, studies investigating the possible interaction effects between personality and intelligence when predicting academic achievement are scarce, as is the separate investigation of broad personality factors versus narrow personality facets in this context. Two studies with 11th grade students (Study 1: N = 421; Study 2: N = 243) were conducted to close this research gap. The students completed the Intelligence-Structure-Test 2000 R measuring general reasoning ability, and a well-established personality inventory based on the Five Factor Model. Academic achievement was operationalized via Grade Point Average. Using hierarchical regression and moderation analyses, Study 1 revealed that Conscientiousness interacted with intelligence when predicting academic achievement: there was a stronger association between intelligence and academic achievement when students scored higher on the Conscientiousness scale. Study 2 confirmed the findings from Study 1 and also found a moderation effect of Neuroticism (stronger association between intelligence and academic achievement with lower values on the Neuroticism scale). Analyses at the facet level revealed much more differentiated results than did analyses at the domain level, suggesting that investigating personality facets should be preferred over investigating personality domains when predicting academic achievement.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Intell Year: 2018 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Intell Year: 2018 Document type: Article Affiliation country: Country of publication: