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Adaptest是基于Adaptest計算機化自適應測試和項目響應理論(IRT)的評分軟件包,旨在輕松集成到現有的電子數據收集(EDC)系統中。實現范圍可以從Web開發人員快速使用Adaptest作為純HTML和JavaScript Web 2.0應用程序的插件,到與引擎的Linux二進制文件或Windows dll的完整系統集成。無論實施如何,Adaptest 都提供了廣泛的功能和優勢:
Adaptest 允許在秤開發過程中獲得統計信息,以更好地為評估過程提供信息。
更多評估依靠“現代測量理論”進行發展
無需因為數據收集系統無法使用 IRT 信息而依賴較差的總和分數
可以提高統計功效,從而減少樣本量需求
Adaptest允許使用現代測量理論(IRT / Rasch)開發的任何評估以固定長度的形式呈現并實時評分。
無需對數據進行后處理
與傳統方法相比,提供更具統計有效性的分數
更加以患者為中心的評估
減輕患者負擔
保持與全長評估相當的可靠性和有效性
基于自適應項目響應理論的計算機化自適應測試軟件專為EDC系統集成而設計。
量表分數集成到數據收集和傳輸過程中
位于您了解和信任的基礎架構中
無需學習或維護新系統
您當前的支持人員仍然是您聯系的人
英文介紹:
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