Personality versus traffic accidents; meta-analysis of real and method effects
DOI: 10.1016/j.trf.2016.10.009
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Summary
This meta-analysis investigates the association between personality traits and traffic accident involvement, addressing the heterogeneity and methodological inconsistencies in existing literature. The authors were motivated by conflicting results in prior studies and the limitations of previous meta-analyses, which often excluded relevant data or failed to account for moderators such as dissemination bias and variance restriction. The primary objective was to estimate the true population effect of the Big Five personality dimensions (Openness, Agreeableness, Conscientiousness, Neuroticism, and Extraversion) on accident involvement while controlling for methodological artifacts. The study employed a comprehensive literature search, identifying 62 papers yielding 68 samples and 192 effect sizes. Only studies using self-report personality measures convertible to Big Five dimensions and reporting traffic accidents as the dependent variable were included. To address the significant impact of variance restriction in accident data, the authors utilized the mean number of accidents as a proxy for exposure and risk, applying empirical corrections to standardize effect sizes. A novel bivariate outlier detection method was used to remove suspect data points influenced by extreme accident means. The analysis also tested for common method variance (comparing self-reported vs. archival accident data), dissemination bias, and the influence of instrument type. The results indicated that while all five personality dimensions were statistically significant predictors of accident involvement, the effect sizes were small (r < .1), substantially weaker than those reported in earlier meta-analyses. The analysis revealed that effect sizes were heavily dependent on the variance in the accident variable; studies with higher accident means showed stronger correlations, suggesting that true population effects might be larger in high-risk samples. No significant effects of common method variance were found, indicating that self-reporting did not artificially inflate the associations. Furthermore, newer studies and those using standardized Big Five instruments tended to report smaller effects. Significant heterogeneity remained for Extraversion and Conscientiousness even after outlier removal. The authors conclude that personality tests are weak predictors of traffic accident involvement compared to other variables, such as previous accident history. The findings suggest that the predictive power of personality is limited in general populations due to restricted variance in accident data. The study implies that future research should focus on high-risk samples and longer observation periods to ascertain larger true effects. Additionally, the authors recommend exploring measurement methods beyond self-reports to determine if alternative assessment techniques yield stronger associations between personality and driving safety.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-18 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | pdftotext | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | semantic_scholar | — | — | 4 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-18 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: crash risk outcomes
- Synthesis & Review: quantitative synthesis