A New Statistical Paradigm for Measuring Psychopathology Dimensions in Youth

测量青少年精神病理学维度的新统计范式

基本信息

批准号：
8666668
负责人：
ROBERT D GIBBONS
金额：
$ 84.11万
依托单位：
UNIVERSITY OF CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-05-27 至 2018-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8666668
关键词：
Address Adolescence Adolescent Adult Anxiety Anxiety Disorders Attention deficit hyperactivity disorder Behavior Bipolar Disorder Caregivers Child Childhood Conduct Disorder Data Development Diagnosis Diagnostic Diagnostic and Statistical Manual of Mental Disorders Diagnostics Research Dimensions Disease Disruptive Behavior Disorder Educational Measurement Equipment and supply inventories Generalized Anxiety Disorder Goals Individual Interview Life Major Depressive Disorder Manic Measurement Measures Mental Depression Mental Health Mental disorders Methodology Modeling Monitor Oppositional Defiant Disorder Outpatients Parents Phase Population Primary Health Care Probability Process Psychiatric therapeutic procedure Psychometrics Psychopathology Public Health Research Research Domain Criteria Sampling Separation Anxiety Disorder Severities Social Phobia Specific Phobia Specificity Suicide Symptoms TNF gene Techniques Testing Time Work Youth acronyms base computerized depressive symptoms functional disability improved informant instrument physical conditioning public health relevance response screening success theories

项目摘要

DESCRIPTION (provided by applicant): We propose to develop, test, and apply a new computerized adaptive testing approach to measuring severity of depression, anxiety, mania, disruptive behavior, and attention-deficit/hyperactivity disorders in children and adolescents (9-17 years). This proposal contributes both methodologically and scientifically to research on the assessment of pediatric psychopathology. The proposed work will advance mental health research and improve psychiatric screening and monitoring in primary care. The methodological work proposed in this application is driven by a fundamental scientific challenge that has limited progress in measuring psychopathology in pediatric populations. We need to understand how the measurement of psychopathology in youth changes from childhood through adolescence. Our proposed work includes new statistical methodology for a Computerized Adaptive Test (CAT) based on multidimensional Item Response Theory (IRT) that allows us to tailor the measurement process to each child's developmental level (vertical scaling). The overarching aim of this application is to develop a CAT for children and adolescents that achieves the following goals: Aim 1: Provides dimensional severity scores for depression, mania, anxiety, disruptive behavioral disorders (DBDs), and attention-deficit/hyperactivity disorder (ADHD). Aim 2: Identifies children and adolescents who have symptom severity associated with functional impairment who would potentially benefit from a more extensive diagnostic assessment to evaluate the need for treatment. Aim 3: Uses differential item functioning to identify a set of items that optimally discriminate high and low levels of severity or each of psychopathology dimension equally well for parent and child ratings of that dimension. Aim 4:Accurately predicts DSM categorical diagnoses of major depressive disorder (MDD), ADHD, oppositional defiant disorder (ODD), conduct disorder (CD), anxiety disorders (AD; generalized anxiety disorder, separation anxiety disorder, social phobia, specific phobia), and bipolar disorder (BD). Exploratory Aim: Using the same powerful psychometric strategies, we will take several important steps toward developing and testing of a parallel CAT measure of two of the core biopsychological processes identified in the Research Domain Criteria (RDoC). To achieve these aims, we will develop a bank of approximately 1000 items addressing at different developmental levels symptoms of depression (including a subdomain of suicidality), mania, anxiety, DBDs and ADHD, as well as positive and negative valence RDoC domains. We will then calibrate the item bank using a bifactor IRT model and then develop, test and validate CAT-based administration.

描述（由申请人提供）：我们建议开发，测试和应用新的计算机化自适应测试方法来衡量儿童和青少年的抑郁，焦虑，躁狂，躁狂，破坏性行为以及注意力缺陷/多功能障碍的严重程度（9-17岁）。该建议在方法论和科学上都为小儿心理病理评估的研究做出了贡献。拟议的工作将提高心理健康研究，并改善初级保健的精神病筛查和监测。本应用中提出的方法论工作是由一项基本科学挑战驱动的，该挑战在测量小儿种群的心理病理学方面的进展有限。我们需要了解从童年到青春期的青年中心理病理学的度量如何变化。我们提出的工作包括基于多维项目响应理论（IRT）的计算机自适应测试（CAT）的新统计方法，该方法使我们能够根据每个孩子的发育水平（垂直缩放）量身定制测量过程。该应用的总体目的是为实现以下目标的儿童和青少年开发猫：AIM 1：为抑郁症，躁狂，焦虑，焦虑，颠覆性行为障碍（DBD）和注意力缺陷/多动障碍（ADHD）提供维度严重程度评分。 AIM 2：确定与功能障碍有关的儿童和青少年，他们可能会从更广泛的诊断评估中受益，以评估治疗需求。 AIM 3：使用差分项目功能来确定一组最佳区分高和低级别的项目或精神病理学维度，对于该维度的父母和子女评分同样好。 AIM 4：准确预测DSM的主要抑郁症（MDD），ADHD，对立反抗疾病（ODD），行为障碍（CD），焦虑症（AD；广义焦虑症，分离焦虑症，社交恐惧症，特定恐惧症）和双极障碍（BD）（BD）。探索目的：使用相同强大的心理测量策略，我们将采取几个重要步骤来开发和测试研究领域标准（RDOC）中确定的两个核心生物心理过程的平行量度测量。为了实现这些目的，我们将开发约1000个项目，这些项目在不同的发育水平抑郁症状（包括自杀的子域），躁狂，焦虑，DBD和ADHD以及正价RDOC域。然后，我们将使用双分离器IRT模型对项目库进行校准，然后开发，测试和验证基于CAT的管理。