把握 STARS:关于工科学生统计焦虑水平的综合研究

N. Shida, Sharifah Osman, Achmad Buchori
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引用次数: 0

摘要

工科学生经常面临理解和应用统计概念来评价和评估研究的挑战。本研究旨在探究统计焦虑量表(STARs)的因子结构,STARs 包含 6 个领域,51 个项目。该问卷调查的对象是目前就读于统计学课程的工科学生,并使用社会科学统计软件包对数据进行了分析。研究揭示了导致学生在学习统计课程时产生统计焦虑的因素。研究结果强调了影响统计焦虑的因素,教育工作者和教育机构可以制定有针对性的干预措施和支持机制,以提高学生的统计能力和整体学习体验。这项研究不仅解决了工科学生面临的独特挑战,而且对培养各学科的统计素养具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grasping the STARS: A comprehensive study on statistics—Anxiety levels among engineering students
Engineering students often face the challenge of comprehending and applying statistical concepts to evaluate and assess research. This research seeks to investigate the factor structure of Statistics Anxiety Rating Scale (STARs), which comprises six domains with 51 items. The questionnaire was administered to engineering students currently enrolled in a statistics class, and the data were analyzed using Statistical Package for the Social Sciences. The study sheds light on the factors that contribute to students’ statistics anxiety when taking a statistics course. The findings highlight the elements that influence statistics anxiety, educators and institutions can develop targeted interventions and support mechanisms to enhance students’ statistical competence and overall learning experience. This research not only addresses the unique challenges faced by engineering students but also holds implications for fostering statistical literacy across various disciplines.
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