用Rasch模型对高中生物人体消化系统试题的批判性思维能力进行项目质量分析

Wanda Agus Prasetya, Anggi Tias Pratama
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引用次数: 0

摘要

本研究旨在利用Rasch模型分析学生的批判性思维能力,以确定消化系统材料的生物仪器项目的质量。本研究采用定量描述方法,涉及日惹市63名高中学生。采用批判性思维技能描述测试收集数据,使用Winstep 5.0.3.4程序处理Rasch模型。研究表明,总体效度是可以接受的。第14、3、8、13、12、1、4、10、6、2、7、11、15、9项不需要改进,第5项不适合,需要改进或替换。采用Cronbach’s alpha分析结果表明,总体信度较好,项目信度较好。使用部分信用评级和概率曲线的评级量表分析表明,受访者需要帮助理解五点李克特量表。基于Logit和Wright地图的项目难度分析显示,最难的项目是第14项。中等类别的项目是项目13、12、1、4、10、6、2、5和7。易于处理的项目是第11、15和9项。偏见结果显示第14项性别偏见。通过ICC图图像对物品与人的交互作用进行分析,结果表明所有物品都在服装置信度空间曲线上,并遵循Rasch模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Item quality analysis using the Rasch model to measure critical thinking ability in the material of the human digestive system of Biology subject in high school
This study aims to determine the quality of the Biology instrument items on the digestive system material with the Rasch model for analyzing critical thinking skills. The research employed a quantitative descriptive method involving 63 students of senior high schools in Yogyakarta. The data were collected using a critical thinking skills description test and processed using the Rasch model with the Winstep 5.0.3.4 program. The study shows that the overall validity is acceptable. The item validity did not require improvement in items 14, 3, 8, 13, 12, 1, 4, 10, 6, 2, 7, 11, 15, and 9, and required improvement or replaced of item 5 because it did not fit. The analysis result using Cronbach's alpha shows that the overall reliability is very good, and the item reliability is good. Rating scale analysis using partial credit ratings and probability curves shows that respondents need help understanding the five-point Likert scale. The analysis of the item difficulty based on Logit and Wright maps shows that the most difficult item to work on is item 14. Items with moderate categories are items 13, 12, 1, 4, 10, 6, 2, 5, and 7. Items easy to work on are items 11, 15, and 9. The bias results show item 14 gender-biased. The results of the interaction between the item and the person through the ICC plot image show that all items are on the curve of the outfit confidence space and follow the Rasch modeling.
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