METHODS: We analysed three datasets (N = 59,797, N = 21,177, and N = 87,983) from individuals who participated in the online Great British Intelligence Test (GBIT) study, a collaborative citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions.
RESULTS: The 18-item version of the Big Five Inventory had higher validity and retest reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions.
CONCLUSIONS: The newly validated 18-item version of the Big Five provides a convenient means of measuring personality traits that is suitable for deployment in a range of studies. It retains psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full original scale.
方法:我们分析了三个数据集(N=59,797,N=21,177和N=87,983),这些数据来自参与在线英国大智力测验(GBIT)研究的个人,与BBC2Horizon合作的公民科学项目。我们应用了因子分析(FA),预测性规范建模,和单样本t检验,以验证大五的18项版本,并调查其与精神和神经系统疾病的关联。
结果:与文献中其他先前缩短的版本相比,大五清单的18项版本具有更高的有效性和重测可靠性,与完整的五大清单具有可比的人口关联。它与精神疾病表现出强烈的(即大效应大小)关联,与神经系统疾病的中度(中小)关联。神经质(情绪不稳定)在所有精神疾病中都高得多,而责任心,开放性和外向性显示了不同条件下的不同关联。
结论:新验证的18项版本的“大五”提供了一种测量人格特征的便捷方法,适合在一系列研究中进行应用。它保留了心理测量结构,重测信度和临床组敏感度,与完整的原始规模相比。