A Computerized Adaptive Testing Version of the ASI

描述（由申请人提供）：本申请建议开发ASI- mv - cat，这是inflexion流行的成瘾严重程度指数多媒体版本。net （ASI- MV.net）的计算机自适应测试版本。尽管在商业上取得了巨大的成功，但是当前版本的ASI-MV.net并不能满足在药物滥用领域工作的管理人员、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，所收集数据的详细性质和评估的长度是不必要的，可能会造成过度的负担。相反，更快速地获得总结分数，表征个人对治疗的总体需求和关键领域的一般功能水平就足够了。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）的原则，全面的ASI- mv - cat将包括一个快速筛选测试，提供关于“需要治疗”的“是/否”答案，以及一个基础广泛的能力评估，为所有七个ASI领域提供完整的综合和严重程度分数。在获得这些分数时，管理时间可以潜在地减少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，我们将通过专注于一个ASI子量表的开发和初步评估，展示拟议的基于irt的量表开发方法和inflexion的整体技术能力。在第二阶段，类似的方法将用于开发ASI-MV-CAT的完整版本，然后将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，例如涉及人口筛查，治疗计划和研究的情况下，其管理可能会不必要地漫长和繁重。本研究将开发一种计算机自适应测试（CAT）版本的ASI，这将大大减少管理时间，同时提高其准确性。这种新工具的可用性应能提高药物滥用领域的研究和治疗的质量并降低费用。

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.