H. P. Susanto, T. Sutarti, A. Abadi, A. S. Hafidah
{"title":"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","authors":"H. P. Susanto, T. Sutarti, A. Abadi, A. S. Hafidah","doi":"10.2991/assehr.k.200402.036","DOIUrl":null,"url":null,"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.","PeriodicalId":305822,"journal":{"name":"Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Fuzzy Multiple Correlation and Its Application to Determine the Correlation of Math Anxiety with Math Self-Efficacy and Attitude\",\"authors\":\"H. P. Susanto, T. Sutarti, A. Abadi, A. S. Hafidah\",\"doi\":\"10.2991/assehr.k.200402.036\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":305822,\"journal\":{\"name\":\"Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019)\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/assehr.k.200402.036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Agriculture, Social Sciences, Education, Technology and Health (ICASSETH 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.200402.036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Fuzzy Multiple Correlation and Its Application to Determine the Correlation of Math Anxiety with Math Self-Efficacy and Attitude
—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.