Analysis of Evaluation Data Collected on Likert Type Items: Humanities-Courses

Raghavendra Dwivedi, N. N. Pandey
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引用次数: 3

Abstract

To improve high quality and/or retain achieved high quality of an academic program, time to time evaluation for quality of each covered course is often an integrated aspect considered in reputed institutions, however, there has been little effort regarding humanities courses. This research article deals with analysis of evaluation data collected regarding humanities course from a College of Commerce & Economics, Mumbai, Maharashtra, India, on Likert type items. Appropriateness of one parametric measure and three non-parametric measures are discussed and used in this regard which could provide useful clues for educational policy planners. Keeping in view of the analytical results using these four measures, regardless of the threshold regarding satisfaction among students, overall performance of almost every subject has been un-satisfactory. There is a need to make a focused approach to take every course at the level of high performance. The inconsistency noticed under every threshold further revealed that under such poorly performing subjects globally, one needs to analyze merely at the global level item. Once the global level analysis reveals high performance of a course, then only item specific analysis may need to be focused to find out the items requiring further improvements.
Likert型项目人文课程评价数据分析
为了提高学术课程的高质量和/或保持已达到的高质量,对每门课程的质量进行定期评估通常是知名机构考虑的一个综合方面,然而,在人文学科课程方面几乎没有做出什么努力。这篇研究文章分析了从印度马哈拉施特拉邦孟买商业与经济学院收集的关于人文学科课程的Likert类型项目的评估数据。讨论了一个参数测度和三个非参数测度在这方面的适用性,为教育政策制定者提供了有用的线索。考虑到使用这四种衡量标准的分析结果,无论学生满意度的阈值如何,几乎每门学科的总体表现都不令人满意。有必要制定一种有针对性的方法,以高绩效的水平参加每门课程。在每个阈值下注意到的不一致性进一步表明,在全球表现不佳的科目下,人们只需要在全球层面上进行分析。一旦全局级别的分析揭示了课程的高性能,那么可能只需要专注于特定项目的分析,以找出需要进一步改进的项目。
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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