Rasch测量法在语言评估中的应用

Jason Fan, T. Bond
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引用次数: 19

摘要

在将Rasch模型应用于语言评估数据时,重要的是要注意,单维性和局部独立性是应该解决的两个关键测量要求。本章重点讨论了一维拉希测量的这两个要求,并说明了在语言评价研究中应如何研究这两个要求。本章首先解释了语言评估的概念,并回顾了最近的研究,包括对这两个原则的检验。然后使用一个语言测试数据集来说明如何调查这两个度量属性。虽然单维性的经验证据是多方面的,但地方独立性的经验证据更为间接。本章最后讨论了在语言评价的发展和研究中如何解决违反这两个原则的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Rasch measurement in language assessment
In applying the Rasch model to language assessment data, it is important to note that unidimensionality and local independence are two crucial measurement requirements that should be addressed. This chapter focuses on these two requirements for unidimensional Rasch measurement and illustrates how they should be investigated in language assessment research. The chapter first explains the concepts and reviews recent studies in language assessment that include the examination of these two principles. It then uses a language test dataset to illustrate how these two measurement properties are investigated. While the empirical evidence for unidimensionality is manifold, that for local independence is more indirect. The chapter concludes by discussing how violations of these two principles should be addressed in language assessment development and research.
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