Connolly Madeleine L, Bowden Stephen C, Simpson Leonie C, Horne Malcolm, McGregor Sarah
Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia.
Centre for Clinical Neurosciences & Neurological Research, St Vincent's Hospital, Melbourne, Australia.
Arch Clin Neuropsychol. 2020 Feb 20;35(2):205-212. doi: 10.1093/arclin/acz081.
To establish a theoretically justified factor structure for the Addenbrooke's Cognitive Examination-Revised (ACE-R).
Our sample comprised 288 patients with Parkinson's disease (179 men and 109 women). The mean age of participants was 66.66 (SD = 8.93). Confirmatory factor analysis (CFA) was used to evaluate the test developers' five-factor model of the ACE-R, and alternative models as guided by the Cattell-Horn-Carroll (CHC) theory. Exploratory structural equation modeling (ESEM) was also employed to examine alternative factor structures to ensure that a good candidate model was not overlooked.
A three-factor CHC-guided CFA and a similar three-factor ESEM model both showed acceptable overall fit, and interpretable factor structures. The three-factor CFA model showed two factors of pure CHC constructs: acquired knowledge (Gc), and visuospatial ability (Gv), and one combined factor, namely, long-term memory retrieval, fluency, and working memory (Glr-Gsm). The three-factor ESEM model showed three factors essentially in line with the CFA results.
The three-factor CHC-guided CFA model was selected as the best model to guide clinical interpretation of cognitive variables underlying ACE-R scores.
为修订版的Addenbrooke认知检查量表（ACE-R）建立一个理论上合理的因素结构。
我们的样本包括288名帕金森病患者（179名男性和109名女性）。参与者的平均年龄为66.66岁（标准差=8.93）。验证性因素分析（CFA）用于评估测试开发者提出的ACE-R五因素模型，以及由卡特尔-霍恩-卡罗尔（CHC）理论指导的替代模型。探索性结构方程建模（ESEM）也被用于检验替代因素结构，以确保不会忽略一个良好的候选模型。
一个由CHC理论指导的三因素CFA模型和一个类似的三因素ESEM模型都显示出可接受的整体拟合度和可解释的因素结构。三因素CFA模型显示出两个纯粹的CHC结构因素：获得性知识（Gc）和视觉空间能力（Gv），以及一个组合因素，即长期记忆检索、流畅性和工作记忆（Glr-Gsm）。三因素ESEM模型显示的三个因素与CFA结果基本一致。
三因素CHC指导的CFA模型被选为指导对ACE-R分数背后认知变量进行临床解释的最佳模型。
