Objective: The connection between personality traits and performance has fascinated scholars in a variety of disciplines for over a century. The present research synthesizes results from 54 meta-analyses (k = 2028, N = 554,778) to examine the association of Big Five traits with overall performance.
Method: Quantitative aggregation procedures were used to assess the association of Big Five traits with performance, both overall and in specific performance categories.
Results: Whereas conscientiousness yielded the strongest effect (ρ = 0.19), the remaining Big Five traits yielded comparable effects (ρ = 0.10, 0.10, -0.12, and 0.13 for extraversion, agreeableness, neuroticism, and openness). These associations varied dramatically by performance category. Whereas conscientiousness was more strongly associated with academic than job performance (0.28 vs 0.20), extraversion (-0.01 vs 0.14) and neuroticism (-0.03 vs -0.15) were less strongly associated with academic performance. Finally, associations of personality with specific performance outcomes largely replicated across independent meta-analyses.
Conclusions: Our comprehensive synthesis demonstrates that Big Five traits have robust associations with performance and documents how these associations fluctuate across personality and performance dimensions.
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http://dx.doi.org/10.1111/jopy.12683 | DOI Listing |
J Pers Soc Psychol
January 2025
Department of Psychology, University of Oslo.
The role of childhood activity level in personality development is still poorly understood. Using data from a prospective study following 939 children from age 1.5 to 16.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Biostatistics, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong, China.
Motivation: Fine-mapping aims to prioritize causal variants underlying complex traits by accounting for the linkage disequilibrium of GWAS risk locus. The expanding resources of functional annotations serve as auxiliary evidence to improve the power of fine-mapping. However, existing fine-mapping methods tend to generate many false positive results when integrating a large number of annotations.
View Article and Find Full Text PDFMed Image Anal
January 2025
Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Engineering Science, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford, UK. Electronic address:
Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task is further complicated by the lack of annotations for subtyping and contextual histomorphological features that might span multiple scales.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Deep learning-based morphometric analysis of zebrafish is widely utilized for non-destructively identifying abnormalities and diagnosing diseases. However, obtaining discriminative and continuous organ category decision boundaries poses a significant challenge by directly observing zebrafish larvae from the outside. To address this issue, this study simplifies the organ areas to polygons and focuses solely on the endpoint positioning.
View Article and Find Full Text PDFIntegr Zool
January 2025
School of Natural Sciences, Macquarie University, Sydney, Australia.
The invasion of cane toads (Rhinella marina) across tropical Australia has resulted in the rapid evolution of traits that enable higher rates of dispersal, and that adapt toads to hot dry climates. In anurans, a larger heart facilitates both locomotor activity and desiccation tolerance. Heart size is also often affected, either directly or indirectly, by parasite infections.
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