Ambulatory Methods for Measuring Cognitive Change

摘要 宾夕法尼亚州立大学及其分包商正在提交这份提案，以回应 “RFA-AG-18-012认知变化移动监测”(表示为M2C2)。数据与统计 拟议项目的分析核心将确保数据互操作性、安全数据访问并维护 统一的数据结构，允许数据共享，并监督数据隐私问题。它的意义和 本项目数据核心的创新之处在于提供(1)用于管理数据的安全数据存储库 从M2C2基础设施和(2)对认知测试的信度和效度进行严格评估 人与人之间和人与人之间研究设计。数据核心将通过追求两个目标来服务于M2C2项目 主要目标，每个目标都有多个子目标。 目标1：运营中央数据存储库。开发和运营用于M2C2数据的中央数据存储库， 包括由移动设备和亲自、自我报告、设备元数据(例如，设备)收集的认知测试 智能手机传感器被动收集的数据(例如，环境噪音、GPS位置)。 目的2：对移动认知的心理测量学特性和效度进行分析 测试。提供对M2C2项目的所有分析的监督，并根据确定的情况评估结果 基准，确保心理测量特性的评估正确地纠正了由泛化引起的偏差 年龄效应通过分层分析和统计控制，并评估不同年龄、性别和 种族类别，以确定人口亚组的有效性。 目标2的重点是进行统计分析，以评估测试的心理测量学特性 在该项目中开发的仪器。这包括通过检查短期测试来评估测试的可靠性 测试性能的稳定性，评估候选流动测试的结构效度 测量(例如，NIH工具箱)，并通过检查来评估移动认知测试的纵向有效性 检测短期和长期认知变化的灵敏度。在项目的后期阶段，数据 CORE将在一个独立的、具有全国代表性的基于概率的样本中复制可靠性和有效性， 并为基准测试性能和测试性能的变化创建具有全国代表性的标准 (纵向规范)。 1

ABSTRACT The Pennsylvania State University, along with its subcontractors, is submitting this proposal in response to “RFA-AG-18-012 Mobile Monitoring of Cognitive Change” (denoted as M2C2). The Data and Statistical Analysis Core for the proposed Project will ensure data interoperability, secure data access, and maintain a uniform data structure, permit data sharing, and oversee data privacy concerns. The significance and innovation of the Data Core for this Project lies in providing (1) a secure data repository for managing data from the M2C2 infrastructure and (2) a rigorous evaluation of reliability and validity of cognitive tests for both between-person and within-person study designs. The Data Core will serve the M2C2 Project by pursuing two primary aims, each of which has multiple sub-aims. Aim 1: Operate a Central Data Repository. Develop and operate a central data repository for the M2C2 data, including cognitive tests collected by mobile devices and in-person, self-report, device meta-data (e.g., device model, OS version), and data passively collected by smartphone sensors (e.g., ambient noise, GPS location). Aim 2: Conduct analyses to evaluate the psychometric properties and validity of mobile cognitive tests. Provide oversight of all analytics for the M2C2 project and evaluate results against established benchmarks, ensure that evaluations of psychometric test properties correct for bias caused by generalized age effects through stratified analysis and statistical control, and evaluate invariance across age, gender and racial categories to establish validity for population subgroups. The focus of Aim 2 is the conduct of statistical analyses to evaluate the psychometric properties for the test instruments developed in the Project. This includes the evaluation of test reliability by examining the short-term stability of test performance, assess construct validity of candidate mobile tests against gold-standard measures (e.g., NIH Toolbox), and evaluate longitudinal validity of mobile cognitive tests by examining sensitivity for detecting both short-term and long-term cognitive change. In later phases of the Project, the Data Core will replicate reliability and validity in an independent, nationally representative probability based sample, and create nationally representative norms for baseline test performance, and for change in test performance (longitudinal norms). 1