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- W2941700616 abstract "Aim Personality traits and cognitive ability are well-established predictors of academic performance. Yet, how consistent and generalizable are the associations between personality, cognitive ability, and performance? Building on theoretical arguments that trait–performance relations should vary depending on the demands and opportunities for trait expression in the learning environment, we investigated whether the associations of personality (Big Five) and cognitive ability (fluid intelligence) with academic performance (grades and tests scores) vary across school subjects (German and math) and across ability-grouped school tracks (academic, intermediate, and vocational). Method Multiple group structural equation models in a large representative sample of ninth-grade students (N = 12,915) from the German National Educational Panel Study (NEPS). Results Differential associations across school subjects emerged for cognitive ability, Emotional Stability, and Conscientiousness (math > German); and for Openness and Extraversion (German > math). Differential associations across school tracks emerged for cognitive ability, Conscientiousness (academic > intermediate > vocational) and Agreeableness (academic > intermediate > vocational). Personality traits explained more variation in academic performance in the academic than in the other tracks. Conclusion Most trait–performance relations varied across subjects, tracks, or both. These findings highlight the need for more nuanced and context-minded perspective on trait–performance relations." @default.
- W2941700616 created "2019-05-03" @default.
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- W2941700616 creator A5060898370 @default.
- W2941700616 creator A5067904867 @default.
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- W2941700616 date "2019-05-07" @default.
- W2941700616 modified "2023-10-16" @default.
- W2941700616 title "Personality, cognitive ability, and academic performance: Differential associations across school subjects and school tracks" @default.
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- W2941700616 doi "https://doi.org/10.1111/jopy.12482" @default.
- W2941700616 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31009081" @default.
- W2941700616 hasPublicationYear "2019" @default.
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