Validation of an abbreviated Big Five personality inventory at large population scale: Psychometric structure and associations with common psychiatric and neurological disorders

IF 4.3 2区 医学 Q1 PSYCHIATRY Comprehensive psychiatry Pub Date : 2024-06-29 DOI:10.1016/j.comppsych.2024.152514
Weixi Kang , Jeggan Tiego , Peter J. Hellyer , William Trender , Jon E. Grant , Samuel R. Chamberlain , Adam Hampshire
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Abstract

Background

The five-factor model of personality, as quantified using instruments such as the Big Five Inventory, consists of broad personality domains including Extraversion, Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such instruments typically include >40 items. However, instruments with many items can be unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity.

Method

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.

Conclusion

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.

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在大规模人群中验证缩写的大五人格量表:心理计量结构以及与常见精神和神经疾病的关联。
背景:人格的五因素模型通过大五量表等工具进行量化,包括外向性(Extraversion)、宜人性(Agreeableness)、自觉性(Consientiousness)、神经质(Neuroticism)(情绪不稳定性)和开放性(Openness)等广泛的人格领域。此类工具通常包含 40 个以上的项目。然而,在临床和队列研究中,如果对多个量表进行排序,那么包含许多项目的量表可能会很笨重,而且会造成测量误差。相反,已有的大五量表 5 项和 10 项版本的可靠性较差。在此,我们开发并验证了兼顾效率、可靠性和灵敏度的缩略版 18 项大五量表:我们分析了三个数据集(N = 59,797、N = 21,177、N = 87,983),这些数据来自参与在线大英智力测验(GBIT)研究的个人,该研究是与 BBC2 Horizon 合作开展的公民科学项目。我们采用因子分析(FA)、预测性常模和单样本 t 检验来验证 18 个项目版本的 "大五项",并研究其与精神和神经状况的关联:与之前文献中的其他缩短版本相比,18 项大五量表具有更高的效度和重测信度,与完整的大五量表具有相似的人口统计学关联。它与精神疾病的关联性较强(即效应大小较大),与神经系统疾病的关联性中等(小-中等)。神经质(情绪不稳定性)在所有精神疾病中都明显较高,而自觉性、开放性和外向性则在不同疾病中表现出不同的相关性:新近验证的 18 项大五人格特征版本提供了一种方便的人格特质测量方法,适合用于各种研究。与完整的原始量表相比,它保留了心理测量结构、重测可靠性和临床群体敏感性。
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来源期刊
Comprehensive psychiatry
Comprehensive psychiatry 医学-精神病学
CiteScore
12.50
自引率
1.40%
发文量
64
审稿时长
29 days
期刊介绍: "Comprehensive Psychiatry" is an open access, peer-reviewed journal dedicated to the field of psychiatry and mental health. Its primary mission is to share the latest advancements in knowledge to enhance patient care and deepen the understanding of mental illnesses. The journal is supported by a diverse team of international editors and peer reviewers, ensuring the publication of high-quality research with a strong focus on clinical relevance and the implications for psychopathology. "Comprehensive Psychiatry" encourages authors to present their research in an accessible manner, facilitating engagement with clinicians, policymakers, and the broader public. By embracing an open access policy, the journal aims to maximize the global impact of its content, making it readily available to a wide audience and fostering scientific collaboration and public awareness beyond the traditional academic community. This approach is designed to promote a more inclusive and informed dialogue on mental health, contributing to the overall progress in the field.
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