A Computerized Adaptive Testing Version of the ASI

ASI 的计算机化自适应测试版本

• 批准号: 7272095
• 负责人: Stephen F Butler
• 金额: $ 13.69万
• 依托单位: INFLEXXION, INC.
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7272095
• 关键词: Administrator; Area; Calibration; Client; Clinical; Compatible; Country; Data; Data Collection; Development; Drug abuse; Evaluation; Individual; Internet; Length; Measures; Methodology; Multimedia; Nature; Performance; Phase; Population; Procedures; Process; Psychometrics; Research; Research Activity; Research Personnel; Score; Screening procedure; Severities; Site; Substance abuse problem; System; Testing; Time; Treatment outcome; Validity and Reliability; Work; addiction; base; computerized; cost; improved; indexing; performance tests; prototype; response; success; theories; tool; treatment planning

DESCRIPTION (provided by applicant): This application proposes development of the ASI-MV-CAT, a Computerized Adaptive Testing edition of Inflexxion's popular Addiction Severity Index-Multimedia Version.net (ASI- MV.net). Despite its substantial commercial success, the current version of the ASI-MV.net does not meet all the assessment and treatment needs of administrators, researchers, and clinicians working in the substance abuse area. In many settings, the detailed nature of the data collected and the length of the assessment are unnecessary and can be unduly burdensome. Instead, more quickly obtained summary scores that characterize an individual's overall need for treatment and general level of functioning in key areas is all that is required. Development of the ASI-MV-CAT is intended to meet this need. Based on the principles of Item Response Theory (IRT), the full-scale ASI-MV-CAT will consist of a quick screening test that provides a "Yes/No" answer in regard to "need for treatment," as well as a broad-based-abilities assessment that provides full composite and severity scores for all seven ASI domains. In obtaining these scores, administration time can potentially be reduced by 50% to 80%, while simultaneously exceeding the psychometric performance of the traditional assessment approach. In Phase I, we will showcase the proposed IRT-based scale development methodologies and Inflexxion's overall technical capacities by focusing exclusively on the development and preliminary evaluation of one ASI subscale. In Phase II, similar methodologies will be used to develop the full version of the ASI-MV-CAT, which will then be subject to an extensive field test of its reliability and validity. The Addiction Severity Index (ASI) is one of the most commonly used substance abuse assessment tools, yet its administration can be unnecessarily long and burdensome in many situations, such as those involving population screening, treatment planning, and research. The present study will develop a Computerized Adaptive Testing (CAT) version of the ASI that should significantly reduce the time of administration, while simultaneously improving its accuracy. The availability of this new tool should enhance the quality and reduce the cost of research and treatment in the substance abuse area.

描述（由申请人提供）：本申请建议开发ASI-MV-CAT，这是Inflexxion流行的成瘾严重程度指数-多媒体版本.net（ASI-MV.net）的计算机化自适应测试版本。尽管取得了巨大的商业成功，当前版本的 ASI-MV.net 并不能满足药物滥用领域管理人员、研究人员和临床医生的所有评估和治疗需求。在许多情况下，收集的数据的详细性质和评估的长度是不必要的，并且可能会造成过度的负担。相反，所需要的只是更快地获得概括分数，以表征个人对治疗的总体需求和关键领域的总体功能水平。 ASI-MV-CAT的开发就是为了满足这一需求。基于项目反应理论 (IRT) 的原理，全面的 ASI-MV-CAT 将包括快速筛选测试，针对“是否需要治疗”提供“是/否”答案，以及广泛的能力评估，为所有七个 ASI 领域提供完整的综合评分和严重程度评分。在获得这些分数时，管理时间可能会减少 50% 至 80%，同时超过传统评估方法的心理测量性能。在第一阶段，我们将通过专门关注一个 ASI 子量表的开发和初步评估来展示拟议的基于 IRT 的量表开发方法和 Inflexxion 的整体技术能力。在第二阶段，将使用类似的方法来开发完整版本的 ASI-MV-CAT，然后对其可靠性和有效性进行广泛的现场测试。成瘾严重程度指数 (ASI) 是最常用的药物滥用评估工具之一，但在许多情况下，例如涉及人群筛查、治疗计划和研究的情况下，其管理可能会不必要地漫长且繁重。本研究将开发 ASI 的计算机化自适应测试 (CAT) 版本，该版本将显着减少管理时间，同时提高其准确性。这一新工具的出现将提高药物滥用领域研究和治疗的质量并降低其成本。