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Adaptest是基于Adaptest计算机化自适应测试和项目响应理论(IRT)的评分软件包,旨在轻松集成到现有的电子数据收集(EDC)系统中。实现范围可以从Web开发人员快速使用Adaptest作为纯HTML和JavaScript Web 2.0应用程序的插件,到与引擎的Linux二进制文件或Windows dll的完整系统集成。无论实施如何,Adaptest 都提供了广泛的功能和优势:
Adaptest 允许在秤开发过程中获得统计信息,以更好地为评估过程提供信息。
更多评估依靠“现代测量理论”进行发展
无需因为数据收集系统无法使用 IRT 信息而依赖较差的总和分数
可以提高统计功效,从而减少样本量需求
Adaptest允许使用现代测量理论(IRT / Rasch)开发的任何评估以固定长度的形式呈现并实时评分。
无需对数据进行后处理
与传统方法相比,提供更具统计有效性的分数
更加以患者为中心的评估
减轻患者负担
保持与全长评估相当的可靠性和有效性
基于自适应项目响应理论的计算机化自适应测试软件专为EDC系统集成而设计。
量表分数集成到数据收集和传输过程中
位于您了解和信任的基础架构中
无需学习或维护新系统
您当前的支持人员仍然是您联系的人
英文介绍:
The Adaptest computerized adaptive testing and item response theory (IRT)-based scoring software package is designed to be easily included into existing electronic data collection (EDC) systems. Implementation can range from a web developer quickly using Adaptest as a plugin for a purely HTML and JavaScript web 2.0 application to a full system integration with the engine’s Linux binaries or Windows dll. Regardless of implementation Adaptest offers a wide range of capabilities and benefits:
Adaptest allows statistical information obtained during scale development to better inform the assessment process.
More assessments are relying on “modern measurement theory” for development
No need to fall back on inferior summed scores because of a data collection system that cannot use IRT information
Can increase statistical power thereby reducing sample size needs
Adaptest allows any assessment developed using modern measurement theory (IRT/Rasch) to be presented in fixed-length form and scored in real-time.
Removes the need to post-process data
Provides more statistically valid scores compared to classical methods
Assessments that are more patient-centered
Reduces patient burden
Maintains comparable reliability and validity to full-length assessments
Adaptest item response theory-based computerized adaptive testing software was specifically designed for EDC system integration.
Scale scores are integrated into the data collection and transfer process
Housed within an infrastructure you know and trust
No new systems to learn or maintain
Your current support staff is still who you contact