Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
J Int Neuropsychol Soc. 2024 Aug;30(7):680-688. doi: 10.1017/S1355617724000225. Epub 2024 Jul 11.
The ability to remotely monitor cognitive skills is increasing with the ubiquity of smartphones. The Mobile Toolbox (MTB) is a new measurement system that includes measures assessing Executive Functioning (EF) and Processing Speed (PS): Arrow Matching, Shape-Color Sorting, and Number-Symbol Match. The purpose of this study was to assess their psychometric properties.
MTB measures were developed for smartphone administration based on constructs measured in the NIH Toolbox® (NIHTB). Psychometric properties of the resulting measures were evaluated in three studies with participants ages 18 to 90. In Study 1 ( = 92), participants completed MTB measures in the lab and were administered both equivalent NIH TB measures and other external measures of similar cognitive constructs. In Study 2 ( = 1,021), participants completed the equivalent NIHTB measures in the lab and then took the MTB measures on their own, remotely. In Study 3 ( = 168), participants completed MTB measures twice remotely, two weeks apart.
All three measures exhibited very high internal consistency and strong test-retest reliability, as well as moderately high correlations with comparable NIHTB tests and moderate correlations with external measures of similar constructs. Phone operating system (iOS vs. Android) had a significant impact on performance for Arrow Matching and Shape-Color Sorting, but no impact on either validity or reliability.
Results support the reliability and convergent validity of MTB EF and PS measures for use across the adult lifespan in remote, self-administered designs.
随着智能手机的普及,远程监测认知技能的能力不断提高。Mobile Toolbox(MTB)是一种新的测量系统,包括评估执行功能(EF)和处理速度(PS)的测量方法:箭头匹配、形状-颜色分类和数字-符号匹配。本研究的目的是评估它们的心理测量特性。
基于 NIH Toolbox®(NIHTB)中测量的结构,为智能手机管理开发了 MTB 测量方法。在三个参与者年龄在 18 至 90 岁的研究中,评估了由此产生的测量方法的心理测量特性。在研究 1(n=92)中,参与者在实验室中完成 MTB 测量,并同时接受等效的 NIH TB 测量和其他类似认知结构的外部测量。在研究 2(n=1,021)中,参与者在实验室中完成等效的 NIHTB 测量,然后自行在智能手机上完成 MTB 测量。在研究 3(n=168)中,参与者在两周的时间内两次远程完成 MTB 测量。
所有三个测量方法都表现出非常高的内部一致性和很强的重测信度,以及与可比的 NIH TB 测试的中等高度相关性,以及与类似结构的外部测试的中度相关性。手机操作系统(iOS 与 Android)对箭头匹配和形状-颜色分类的性能有显著影响,但对有效性或可靠性没有影响。
结果支持 MTB EF 和 PS 测量方法在远程自我管理设计中用于整个成年期的可靠性和收敛效度。