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Item response curve analysis of Likert scale on learning attitudes towards physics
European Journal of Physics ( IF 0.6 ) Pub Date : 2020-06-02 , DOI: 10.1088/1361-6404/ab805c
M G Reyes 1 , S Rakkapao 1, 2
Affiliation  

The item response curve (IRC) shows the proportion of item responses plotted against total scores achieved in an assessment instrument. It has acquired widespread employment in the field of physics education to analyze tests on physics content knowledge. In the current study, the IRC was lengthened to investigate attitude items of Colorado Learning Attitudes about Science Survey (CLASS) with a five-point Likert rating format. How well the IRC explained polytomous data and its advantages were considered. Collected data were from 1069 engineering undergraduates at a Thai university. The study focused on 16-item CLASS in component 1 pertaining to personal application and relation to the real world, which conformed to item response theory (IRT) assumptions. It revealed robust positive linear relationships of step parameters and difficulty indices derived between IRC and Rasch analysis, as well as classical test theory. The IRC, a non-modeling method of IRT, exposed not only the item...

中文翻译:

利克特量表对物理学习态度的项目反应曲线分析

项目响应曲线(IRC)显示项目响应相对于在评估工具中获得的总分绘制的比例。它已经在物理教育领域获得了广泛的就业机会,可以对物理内容知识的测试进行分析。在当前的研究中,IRC被加长以调查科罗拉多学习态度科学调查(CLASS)的态度项,其五分李克特评分格式。考虑了IRC如何解释多数据及其优势。收集的数据来自泰国大学的1069名工程学本科生。该研究的重点是组件1中与个人应用和现实世界相关的16个项目的CLASS,这符合项目响应理论(IRT)的假设。它揭示了IRC和Rasch分析之间得出的步长参数和难度指数之间稳健的正线性关系,以及经典的测试理论。IRC是IRT的一种非建模方法,它不仅公开了...
更新日期:2020-06-02
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