关于在分析排名判断收集的数据时使用拉施模型的研究

Mustafa İlhan, M. Şahin, N. Güler
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摘要

本研究旨在举例说明 Rasch 模型在排名判断数据分析中的应用。为此,我们在研究中详细描述了与拉施分析相关的所有过程,从数据文件的准备到分析结果的解释。此外,我们还将 Rasch 分析结果与传统方法得出的结果进行了比较。我们的研究对象是 261 名中学生。我们使用了一个包含五个刺激因素的工具来收集研究数据,这些刺激因素涉及数学家庭作业的积极方面和局限性。我们要求学生对作业的积极方面进行排序,将最突出的优点编码为 1,最后的优点编码为 5。同样,我们要求学生对作业的局限性进行排序,将最主要的局限性编码为 1,最后的局限性编码为 5。研究结果表明,拉施分析和传统方法得出的刺激量表值之间的一致性很高。考虑到这一结果以及 Rasch 模型在分析过程中更为实用,我们建议研究人员在分析基于等级评判的数据时,首选 Rasch 模型而不是传统方法。
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A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments
This research aimed to exemplify the use of the Rasch model in the analysis of data on ranking judgments. To this end, in the study, we delineated in detail all the processes related to the Rasch analysis, from the preparation of the data file to the interpretation of the analysis outputs. Besides, we compered the Rasch analysis results with the outputs obtained from traditional method. We conducted our study on 261 secondary school students. We collected the research data by employing an instrument containing five stimuli regarding the positive aspects and limitations of the mathematics homework. We asked students to rank the positive aspects of the homework by coding the most prominent advantage with 1 and the last advantage with 5. Similarly, we requested them to put in order the limitations of the homework by coding the foremost limitation with 1 and the last limitation with 5. We analyzed the research data according to both the Rasch model and traditional method. Research results revealed that the agreement between the stimuli’s scale values obtained from the Rasch analysis and from the traditional method was high. Considering this result and that the Rasch model is a more practical option in terms of the analysis process, we can suggested researchers to prefer Rasch model instead of the traditional method in the analysis of data based on ranking judgments.
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