Using the Rasch Model to Measure Comprehension of Fraction Addition.

Journal of applied measurement Pub Date : 2020-01-01
Marius Lie Winger, Julie Gausen, Eivind Kaspersen, Trygve Solstd
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Abstract

In this study we investigate whether transformations between different representations of mathematical objects constitute a suitable framework for the assessment of students' comprehension of fraction addition. Participants (N = 164) solved a set of 20 fraction addition problems constructed on the basis of Duval's (2017) theory of the role of representational transformations in mathematical comprehension. Using Rasch measurement theory and principal component analysis, we found that the items could be separated into three levels of difficulty based on the transformation involved. This large-scale structure was consistent across gender and across subgroups of preservice teachers and middle-grade students. On a finer scale, the production of diagrammatic representations, and the type of diagrammatic representation involved, constitute potential subdimensions of the instrument. We conclude that transformations between representations can be productive for the assessment of fraction addition comprehension as long as care is taken to curtail the potential effects of multidimensionality.

用Rasch模型测量分数加法理解能力。
在这项研究中,我们探讨了数学对象的不同表征之间的转换是否构成了一个合适的框架来评估学生对分数加法的理解。参与者(N = 164)解决了一组20个分数加法问题,这些问题是基于Duval(2017)关于表征变换在数学理解中的作用的理论构建的。利用Rasch测量理论和主成分分析,我们发现根据所涉及的转换,项目可以分为三个难度等级。这种大规模的结构在性别和职前教师和初中学生的亚组中是一致的。在更精细的尺度上,图表表示的产生,以及所涉及的图表表示的类型,构成了仪器的潜在子维度。我们得出的结论是,只要注意减少多维度的潜在影响,表征之间的转换对于分数加法理解的评估是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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