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All Journal Unisda Journal of Mathematics and Computer Science (UJMC)
Hartiani Hartiani
Institut Teknologi Sosial dan Kesehatan Muhammadiyah Selong
Computer Science & IT Education Mathematics

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Pengaruh Distribusi Data Terhadap Hasil Uji Korelasi Studi Pada Uji Pearson Product Moment, Rank Spearman, dan Rank Kendall Tau Ratna Yuniarti; Hartiani Hartiani; Harizahayu Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9439

Abstract

Correlation analysis is used if you want to know whether there is a correlation between two phenomena. To determine the type of correlation to be used, researchers need to consider whether or not the assumption of normality and data characteristics are met. The purpose of this study was to compare the results of the analysis using several correlation tests with both parametric and non-parametric approaches. The method used is to provide data simulation with three types of data characteristics, namely normal, skewed and data containing outliers. The test used is the correlation in the parametric approach with the Pearson Product Moment Test, while for the non-parametric approach is the Spearman Rank and Kendall Tau Rank tests. Furthermore, a case study is given. The results show that in correlation testing without considering data distribution and data characteristics. Can produce inaccurate conclusions.
Co-Authors Harizahayu, Harizahayu Ratna Yuniarti