Applying Test Equating Methods: Using R
暫譯: 應用測試等值方法:使用 R
González, Jorge, Wiberg, Marie
- 出版商: Springer
- 出版日期: 2017-03-13
- 售價: $5,500
- 貴賓價: 9.5 折 $5,225
- 語言: 英文
- 頁數: 196
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3319518224
- ISBN-13: 9783319518220
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相關分類:
R 語言、Data Science、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used to practically illustrate the different methods, while simulated and real data sets illustrate how the methods are conducted with the program R. The book covers traditional equating methods including, mean and linear equating, frequency estimation equating and chain equating, as well as modern equating methods such as kernel equating, local equating and combinations of these. It also offers chapters on observed and true score item response theory equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating functions. It also illustrates how to evaluate equating in practice using simulation and different equating specific measures such as the standard error of equating, percent relative error, different that matters and others.
商品描述(中文翻譯)
本書描述了如何在實務中使用測試等化方法。全書使用非商業軟體 R 來說明如何在不同的數據收集設計下執行不同的等化方法,例如等效組設計、單組設計、平衡設計以及帶有錨定測試的非等效組設計。書中使用 R 套件 equate、kequate 和 SNSequate 等來實際說明不同的方法,同時模擬和真實數據集展示了如何使用 R 程式執行這些方法。本書涵蓋了傳統的等化方法,包括均值和線性等化、頻率估計等化和鏈式等化,以及現代等化方法,如核等化、局部等化及其組合。它還提供了有關觀察分數和真實分數項目反應理論等化的章節,並討論了等化領域的最新發展。更具體地說,它涵蓋了在等化過程中納入協變量的問題、在核等化中使用不同的核以及選擇帶寬的方法,還有貝葉斯非參數等化函數的估計。它還說明了如何使用模擬和不同的等化特定指標(如等化的標準誤、相對誤差百分比、重要差異等)來評估等化的實務應用。