The International Classification of Diseases, 11th edition (ICD-11) adopted a fully dimensional model of personality disorder. The Personality Inventory for ICD-11 (PiCD) and Informant-Personality Inventory for ICD-11 (IPiC) were developed to assess the ICD-11 trait model, and the PiCD has since received significant validation support. However, there has only been one prior study of longitudinal predictive validity of the PiCD, two relatively short test-retest reliability studies of the PiCD, and no prior longitudinal tests of the IPiC. Longitudinal psychometric support for psychological assessment measures is essential. The present study provides a longer, larger, 2-year psychometric validation test of the PiCD and IPiC. Participants (N = 711) and their informants (N = 569) were recruited in the St. Louis Personality and Aging Network. The results demonstrated strong 2-year retest reliability for the PiCD and IPiC, as well as mean-level stability. Additionally, we explored the relationships between the PiCD and IPiC and important life outcome measures (depressive symptoms, satisfaction with life, and health status). The analysis revealed several significant associations between PiCD and IPiC scales and the outcome variables across time. Further, the PiCD Negative Affectivity and IPiC Detachment scales demonstrated incremental validity over each other and the outcome variables at Wave 1 in the prediction of depressive symptoms and satisfaction with life, respectively. The findings provide essential longitudinal test-retest reliability and predictive validity support for the PiCD and IPiC. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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老年人 ICD-11 自我和知情人人格量表的两年重新测试可靠性和预测有效性。


国际疾病分类第11版（ICD-11）采用了人格障碍的全维度模型。 ICD-11 人格量表 (PiCD) 和 ICD-11 知情人人格量表 (IPiC) 的开发是为了评估 ICD-11 特质模型，PiCD 此后获得了重要的验证支持。然而，之前只有一项关于 PiCD 纵向预测有效性的研究、两项相对较短的 PiCD 重测可靠性研究，并且没有之前的 IPiC 纵向测试。对心理评估措施的纵向心理测量支持至关重要。本研究为 PiCD 和 IPiC 提供了更长、更大规模、为期 2 年的心理测量验证测试。参与者 (N = 711) 及其线人 (N = 569) 是在圣路易斯个性和老龄化网络中招募的。结果表明 PiCD 和 IPiC 具有很强的 2 年重新测试可靠性以及平均水平稳定性。此外，我们还探讨了 PiCD 和 IPiC 以及重要的生活结果指标（抑郁症状、生活满意度和健康状况）之间的关系。分析揭示了 PiCD 和 IPiC 量表与随时间变化的结果变量之间的几个显着关联。此外，PiCD 消极情感和 IPiC 脱离量表分别证明了在预测抑郁症状和生活满意度方面彼此之间以及第一波结果变量之间的增量有效性。研究结果为 PiCD 和 IPiC 提供了重要的纵向重测可靠性和预测有效性支持。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。