Evaluating Anxiety, Self-Efficacy and Positive Attitude Correlation Towards Mathematics Through Fuzzy Correlation Utilization

Sutarti, Tatik; Susanto, Hari; Hafidah, Agustina Sri; Muhith, Abdul; Anwar, Mallongi

doi:10.36478/jeasci.2019.2340.2344

Cited by 2 publications

(3 citation statements)

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“…Then, to compare the advantages of multiple fuzzy correlations and multiple classic correlations, the data analysis was carried out by two techniques; those were, the correlation between two variables was determined by Pearson correlation and fuzzy correlation analysis [4]. The correlation of anxiety with mathematics self-efficacy and attitude was executed by using classic multiple correlation analysis, and multiple fuzzy correlations.…”

Section: Fuzzy Correlationmentioning

confidence: 99%

“…Fuzzy data used is fuzzy interval data, and the average fuzzy interval data is determined based on the formula in the article [2,14]. The smallest limit on the fuzzy data is the smallest lower limit on the fuzzy interval data; over and above that, the biggest limit is the biggest upper limit on the fuzzy interval data [2,4,14]. As an illustration of multiple fuzzy correlations.…”

Section: Empirical Studymentioning

confidence: 99%

“…The fuzzy data can be in the triangular fuzzy numbers, trapezium fuzzy numbers, or interval fuzzy numbers. In this article, the used data is fuzzy interval number because the interval fuzzy is able to conceptualize the people more real and flexible psychological condition compared to the classical data [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Susanto¹,

Sutarti²,

Abadi³

et al. 2020

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

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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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Section: Fuzzy Correlationmentioning

confidence: 99%