Vermeent Stefan, Dotsch Ron, Schmand Ben, Klaming Laura, Miller Justin B, van Elswijk Gijs
Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, Netherlands.
Department of Brain, Behavior and Cognition, Philips Research, Eindhoven, Netherlands.
Front Psychol. 2020 Apr 24;11:770. doi: 10.3389/fpsyg.2020.00770. eCollection 2020.
Clinical practice still relies heavily on traditional paper-and-pencil testing to assess a patient's cognitive functions. Digital technology has the potential to be an efficient and powerful alternative, but for many of the existing digital tests and test batteries the psychometric properties have not been properly established. We validated a newly developed digital test battery consisting of digitized versions of conventional neuropsychological tests. Two confirmatory factor analysis models were specified: a model based on traditional neuropsychological theory and expert consensus and one based on the Cattell-Horn-Carroll (CHC) taxonomy. For both models, the outcome measures of the digital tests loaded on the cognitive domains in the same way as established in the neuropsychological literature. Interestingly, no clear distinction could be made between the CHC model and traditional neuropsychological model in terms of model fit. Taken together, these findings provide preliminary evidence for the structural validity of the digital cognitive test battery.
临床实践在很大程度上仍依赖传统的纸笔测试来评估患者的认知功能。数字技术有可能成为一种高效且强大的替代方法,但对于许多现有的数字测试和测试组合而言,其心理测量特性尚未得到妥善确立。我们验证了一种新开发的数字测试组合,该组合由传统神经心理学测试的数字化版本组成。指定了两个验证性因素分析模型:一个基于传统神经心理学理论和专家共识的模型,以及一个基于卡特尔-霍恩-卡罗尔(CHC)分类法的模型。对于这两个模型,数字测试的结果指标在认知领域的加载方式与神经心理学文献中所确立的方式相同。有趣的是,在模型拟合方面,CHC模型与传统神经心理学模型之间没有明显区别。综上所述,这些发现为数字认知测试组合的结构效度提供了初步证据。