University of Pittsburgh, Pittsburgh, PA, USA.
Assessment. 2022 Sep;29(6):1301-1319. doi: 10.1177/10731911211008254. Epub 2021 May 5.
Despite enthusiasm for using intensive longitudinal designs to measure day-to-day manifestations of personality underlying differences between people, the validity of personality state scales has yet to be established. In this study, we evaluated the psychometrics of 20-item and 10-item daily, Big Five personality state scales in three independent samples ( = 1,041). We used multilevel models to separately examine the validity of the scales for assessing personality variation at the between- and within-person levels. Results showed that a five-factor structure at both levels fits the data well, the scales had good convergent and discriminative associations with external variables, and personality states captured similar nomological nets as established global, self-report personality inventories. Limitations of the scales were identified (e.g., low reliability, low correlations with external criterion) that point to a need for more, systematic psychometric work. Our findings provide initial support for the use of personality state scales in intensive longitudinal designs to study between-person traits, within-person processes, and their interrelationship.
尽管人们热衷于使用密集纵向设计来衡量人与人之间差异所隐含的人格的日常表现，但人格状态量表的效度尚未得到证实。在这项研究中，我们在三个独立的样本（n=1041）中评估了 20 项和 10 项每日、大五人格状态量表的心理计量学。我们使用多层次模型分别检验了这些量表在个体间和个体内水平上评估人格变异的有效性。结果表明，在两个水平上的五因素结构都很好地拟合了数据，这些量表与外部变量具有良好的收敛和区分性关联，人格状态与已建立的全球、自我报告人格量表的相似的关联网络。还确定了这些量表的一些局限性（例如，可靠性低，与外部标准的相关性低），这表明需要进行更多系统的心理计量学研究。我们的研究结果为在密集纵向设计中使用人格状态量表来研究个体间特质、个体内过程及其相互关系提供了初步支持。
