Adaptest是基于Adaptest推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网络（EDC）系统中。实现领域能够从Web开发人员急剧使用Adaptest作为纯HTML和JavaScript Web 2.0利用法式的插件，到与引擎的Linux二进造文件或Windows dll的齐整系统集成。无论执行若何，Adaptest 都提供了宽泛的职能和优势：

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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。

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• 更多评估依附“现代丈量理论”进行发展
• 无需由于数据网络系统无法使用 IRT 信息而依赖较差的总和分数
• 能够提高统计功效，从而削减样本量需要

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Adaptest允许使用现代丈量理论（IRT / Rasch）开发的任何评估以固定长度的大局出现并实时评分。

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• 无需对数据进行后处置
• 与传统步骤相比，提供更具统计有效性的分数
• 越发以患者为中心的评估
• 减轻患者职守
• 维持与全长评估相当的靠得住性和有效性

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基于自适应项目响应理论的推算机化自适应测试软件专为EDC系统集成而设计。

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• 量表分数集成到数据网络和传输过程中
• 位于您相识和信赖的基础架构中
• 无需进建或守护新系统
• 您当前的支持人员依然是您联系的人

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英文介绍:

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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:

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Adaptest allows statistical information obtained during scale development to better inform the assessment process.

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• 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

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Adaptest allows any assessment developed using modern measurement theory (IRT/Rasch) to be presented in fixed-length form and scored in real-time.

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• 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

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Adaptest item response theory-based computerized adaptive testing software was specifically designed for EDC system integration.

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• 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