Zoupou Eirini, Moore Tyler M, Kennedy Kelly P, Calkins Monica E, Gorgone Alesandra, Sandro Akira Di, Rush Sage, Lopez Katherine C, Ruparel Kosha, Daryoush Tarlan, Okoyeh Paul, Savino Andrew, Troyan Scott, Wolf Daniel H, Scott J Cobb, Gur Raquel E, Gur Ruben C
Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Psychiatry Res. 2024 May;335:115862. doi: 10.1016/j.psychres.2024.115862. Epub 2024 Mar 15.
Large-scale studies and burdened clinical settings require precise, efficient measures that assess multiple domains of psychopathology. Computerized adaptive tests (CATs) can reduce administration time without compromising data quality. We examined feasibility and validity of an adaptive psychopathology measure, GOASSESS, in a clinical community-based sample (N = 315; ages 18-35) comprising three groups: healthy controls, psychosis, mood/anxiety disorders. Assessment duration was compared between the Full and CAT GOASSESS. External validity was tested by comparing how the CAT and Full versions related to demographic variables, study group, and socioeconomic status. The relationships between scale scores and criteria were statistically compared within a mixed-model framework to account for dependency between relationships. Convergent validity was assessed by comparing scores of the CAT and the Full GOASSESS using Pearson correlations. The CAT GOASSESS reduced interview duration by more than 90 % across study groups and preserved relationships to external criteria and demographic variables as the Full GOASSESS. All CAT GOASSESS scales could replace those of the Full instrument. Overall, the CAT GOASSESS showed acceptable psychometric properties and demonstrated feasibility by markedly reducing assessment time compared to the Full GOASSESS. The adaptive version could be used in large-scale studies or clinical settings for intake screening.
大规模研究和负担沉重的临床环境需要精确、高效的措施来评估精神病理学的多个领域。计算机自适应测试(CAT)可以在不影响数据质量的情况下减少施测时间。我们在一个基于社区的临床样本(N = 315;年龄18 - 35岁)中检验了一种自适应精神病理学测量工具GOASSESS的可行性和有效性,该样本包括三组:健康对照组、精神病组、情绪/焦虑障碍组。比较了完整版和CAT版GOASSESS的评估时长。通过比较CAT版和完整版与人口统计学变量、研究组和社会经济地位的关联来检验外部效度。在混合模型框架内对量表分数与标准之间的关系进行统计学比较,以考虑关系之间的依赖性。通过使用Pearson相关性比较CAT版和完整版GOASSESS的分数来评估收敛效度。CAT版GOASSESS在所有研究组中都将访谈时长减少了90%以上,并且与完整版GOASSESS一样保持了与外部标准和人口统计学变量的关系。所有CAT版GOASSESS量表都可以替代完整版工具的量表。总体而言,CAT版GOASSESS显示出可接受的心理测量特性,并且与完整版GOASSESS相比,通过显著减少评估时间证明了其可行性。自适应版本可用于大规模研究或临床环境中的入院筛查。