Adaptive Testing of Cognitive Function based on multi-dimensionalItem Response Theory

项目摘要 随着美国人口老龄化，面临认知障碍风险的老年人数量 令人震惊。最近的研究指出，认知表现的年龄相关变化早在年龄就开始了 30，强调早期干预的可能性。长期以来，认知功能一直被用来评估 通过神经心理学评估执行标准化认知任务。然而，传统的方法是 评估认知能力很耗时，需要训练有素的人员，需要访问办公室，并确定 年轻人的下降尤其具有挑战性，因为它可以被项目冗余效应掩盖。 在这里，我们建议开发一种新的计算机化适应性测试(CAT)来评估认知功能，无论是在 这是基于多维项目反应理论(MIRT)的最新进展。我们是 叫它猫-COG。CAST-COG将评估全球认知能力作为主要领域以及5 认知亚域：情景记忆、语言/语义记忆、加工速度、注意 控制/工作记忆，灵活的认知/推理。我们的方法将彻底改变基于计算机的认知 测试(最终以独立于平台的方式)，提供对个人在这些方面的能力的准确估计 响应负担最小的领域，使用足够大的项目库，以便同一个人的 认知能力可以在不重复使用项目或刺激的情况下进行重复评估。该项目汇集了一个 成就卓著的跨学科研究团队，也建立在Rush的独特资源之上 老年痴呆症中心(RADC)。以下是项目的关键步骤：(1)我们将开发一个新的500题库 并通过RADC与一系列标准的神经心理测试一起进行测试， 在包括年轻人在内的一个多产的在线样本中。(2)根据这些数据，我们将制定一项 适用于测量整体认知功能和认知的计算机化适应性测验 整个生命过程中的子域。(3)在回传雷达中对CAT-COG进行测试和验证 参与者还将接受传统的神经心理测试。(4)研究人民币汇率的短期变异性 CAT-COG基于一周的日常评估来确定学习效果并制定测试 对这种影响免疫的协议。(5)我们将使CAT-COG与RADC标准电池相协调 神经心理测试，以便将现有数据与新收集的CAT-COG评估联系起来。

Project Abstract With the aging of the American population, the number of older adults at risk for developing cognitive impairment is staggering. Recent research points to age-related change in cognitive performance beginning as early as age 30, highlighting the potential for early interventions. Cognitive function has long been assessed using standardized cognitive tasks administered via neuropsychological evaluation. However, the traditional way to assess cognitive ability is time consuming, requires trained personnel, requires an office visit, and identifying decline among younger adults is particularly challenging because it can be masked by item redundancy effects. Here we propose developing a new computerized adaptive test (CAT) to assess cognitive function, either in clinic or remotely, that is based on recent advances in multidimensional item response theory (MIRT). We are calling it the CAT-COG. The CAT-COG will assess global cognitive ability as a primary domain as well as 5 cognitive subdomains: episodic memory, language/semantic memory, processing speed, attentional control/working memory, flexible cognition/reasoning. Our approach will revolutionize computer-based cognitive testing (ultimately in a platform independent way), providing precise estimation of an individual’s ability on these domains with minimal respondent burden, using a sufficiently large bank of items so that the same individual’s cognitive ability can be assessed repeatedly without reusing items or stimuli. This project brings together an accomplished interdisciplinary team of researchers and also builds on the unique resources of the Rush Alzheimer’s Disease Center (RADC). These are the key project steps: (1) We will develop a new 500 item bank of cognitive tasks and test them alongside a standard battery of neuropsychological tests through the RADC, and in an online Prolific sample that includes younger adults. (2) Based on these data, we will develop a computerized adaptive test (CAT- COG) appropriate for measuring global cognitive function and cognitive subdomains across the life course. (3) We will test and validate the CAT-COG among returning RADC participants who will also receive traditional neuropsychological testing. (4) We will study short-term variability of the CAT-COG based on daily assessment for a week to determine learning effects and develop a testing protocol that is immune to such effects. (5) we will harmonize the CAT-COG with the RADC standard battery of neuropsychological tests so that existing data can be linked to newly collected CAT-COG assessments.