电解质与非电解质溶液题目难度与学生计算思维能力评估偏差分析:多面Rasch模型的应用

Rizqa Rahim Taufik, S. Mulyani, E. Susilowati
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引用次数: 1

摘要

技能在本质上是潜在的,但一直以来,这种测量都使用了一种带有一定标准的排名量表,这种标准被称为有序数据。序数数据只是计数,没有明确的单位或分数之间的距离,也不像物理测量产生的比率数据那样具有零绝对值。因此,序数数据是一个原始的分数,不能很好地显示一个人的技能。使用Rasch模型分析可以将有序数据转换为比率数据。本研究旨在分析在电解质和非电解质溶液中进行的多名观察者对学生计算思维(CT)技能评估的难度和偏差。采用描述性定量研究方法,参与者多达3名观察员,共186名来自泗水市3所高中的十年级学生,分为高、中、低三种类别。在学习过程中,在每次会议上使用观察评估表进行测量,然后由多面分析…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of item difficulties and students’ computational thinking skills assessment bias on electrolyte and non electrolyte solutions: An applications of Many Facets Rasch Model
Skills are latent in nature, but all this time the measurement uses a ranking scale with certain criteria called ordinal data. Ordinal data is only counting, does not have a unit or distance between scores in a definite manner, and does not have zero absolute values as in the ratio data generated from physical measurements. Therefore, ordinal data is a raw score that cannot properly show one’s skills. Ordinal data can be converted into ratio data using the Rasch model analysis. This study aims to analyze the difficulty of items and bias towards the assessment of students’ Computational Thinking (CT) skills conducted with more than one observer on electrolyte and non electrolyte solutions. The method used was descriptive quantitative, with participants as many as 3 observers and 186 of tenth grade students in 3 high schools in Surakarta with high, medium, and low categories. The measurement uses observation assessment sheet at each meeting during the learning process which is then analyzed by the Many Face...
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