Constructing mathematical bitterness scale related to teacher factor

K. Dirgantoro, R. Soesanto, Yanti Yanti
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Abstract

Mathematical bitterness is one of the critical factors influencing students’ mathematical performance, highlighting the need for further action to address its impact.  However, there has been no instrument thus far that can identify mathematical bitterness, particularly one caused by teacher treatment. This research, therefore, aims to construct an instrument to identify the presence of mathematical bitterness. This research involved 307 senior high school and undergraduate students, who were given and responded to a set of 30 questions. The data were then analyzed using confirmatory factor analysis (CFA) through IBM SPSS 20. Confirmatory factor analysis grouped the items into six dimensions (indicators) of mathematical bitterness. Each indicator shows a high Cronbach Alpha result, indicating strong validity in each group of indicators. Overall, the constructed instrument demonstrates strong validity and reliability. This instrument has been successfully constructed and statistically tested, thus making it readily available for use by other scholars interested in investigating mathematical bitterness on a broader scale.
构建与教师因素相关的数学苦闷量表
数学苦闷是影响学生数学成绩的关键因素之一,因此需要采取进一步的行动来消除数学苦闷的影响。 然而,迄今为止,还没有一种工具能够识别数学苦闷,特别是由教师待遇引起的数学苦闷。因此,本研究旨在构建一种工具来识别数学苦闷的存在。这项研究涉及 307 名高中生和本科生,他们回答了 30 个问题。然后通过 IBM SPSS 20 使用确认性因子分析(CFA)对数据进行分析。确认性因子分析将项目归纳为数学苦闷的六个维度(指标)。每个指标都显示出较高的 Cronbach Alpha 结果,表明每组指标都具有较强的有效性。总体而言,所构建的工具具有很强的效度和信度。该工具已成功构建并经过统计检验,因此可供有兴趣在更大范围内研究数学苦闷的其他学者使用。
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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