--- title: The Handbook of Cognition and Assessment author: JW Tsai date: '2021-07-16' slug: categories: tags: - HackMD --- [<img src="https://pic.sopili.net/pub/emoji/twitter/2/72x72/1f60e.png" width=20 height=20>`hackmd-github-sync-badge`](https://hackmd.io/Cm50M7SZTVultphjQooPEA) **你好,歡迎你閱讀 JW-LEARN,這是一個專注在教育/心理測量相關知識的筆記專欄。** 這次要分享的是 Rupp and Leighton (Eds.). (2016) 在 _The Wiley handbook of cognition and assessment_[^1] 這本書中提到的方法論部分,也就是幾種在認知評量上會用到的模型/方法。 ## Why? 這本書裡面簡要的介紹了 6 種方法論。我很訝異(訝異到要記下來)的原因是這些確實都是我曾經關注過也想學習的技術(除了 Rule Space 比較不熟),前面三種(EIRM, L-models, DCM)更是我近期(2021)重點關注對象: - Explanatory Item Response Models - Longitudinal Models for Repeated Measures Data - Diagnostic Classification Models - Bayesian Networks - The Rule Space and Attribute Hierarchy Methods - Educational Data Mining and Learning Analytics ## Key points! ### 1) 解釋型 IRT ### 2) 長期資料分析 ### 3) 診斷分類模型 --- ## Reflection <- [^1]: Rupp, A. A., & Leighton, J. P. (Eds.). (2016). The Wiley handbook of cognition and assessment: Frameworks, methodologies, and applications. John Wiley & Sons.
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