The Fuzzy Multiple Correlation and Its Application to Determine the Correlation of Math Anxiety with Math Self-Efficacy and Attitude

Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019) Pub Date : 1900-01-01 DOI:10.2991/assehr.k.200402.036

H. P. Susanto, T. Sutarti, A. Abadi, A. S. Hafidah

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引用次数: 1

Abstract

—The use of the fuzzy number is not doubtful in psychological domain. The fuzzy number provides a more real and flexible conception of psychology variable. The correlation between two variable and its form of fuzzy data can’t be determined by using Pearson correlation. The correlation analysis to analyse two fuzzy correlations has been majorly introduced by some experts. Meanwhile, this article is aimed at determining multiple fuzzy correlation formula based on multiple traditional correlations. Henceforth, to demonstrate the multiple fuzzy correlation formula, the three psychological variables are involved; those are the mathematical anxiety and efficacy as well as the attitude toward mathematics. These three variables were taken from 245 respondents; students of vocational high school 11th grade. The comparison analysis between fuzzy multiple correlation and traditional multiple correlation is finally discussed in this article.

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模糊多重相关及其在数学焦虑与数学自我效能感和数学态度相关性研究中的应用

模糊数在心理学领域的应用是毋庸置疑的。模糊数提供了一个更真实、更灵活的心理变量概念。用Pearson相关法不能确定两个变量之间的相关性及其模糊数据的形式。一些专家主要介绍了分析两种模糊关联的关联分析法。同时，本文的目的是在多个传统关联的基础上确定多个模糊关联公式。因此，为了证明多重模糊关联公式，涉及到三个心理变量;这是数学焦虑和数学效能以及对数学的态度。这三个变量取自245名受访者;职业高中11年级学生。最后对模糊多重关联与传统多重关联进行了比较分析。

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Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019)

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