The effect of normality and outliers on bivariate correlation coefficients in psychology: A Monte Carlo simulation
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Description
This study aims to examine the effects of the underlying population distribution (normal, non-normal) and OLs on the magnitude of Pearson, Spearman and Pearson Winzorized correlation coefficients through Monte Carlo simulation. Abstract Introduction The concept of normality Assumption of normality in psychology Outliers and their importance in correlations Method Generation of data Data analysis Results First stage of the analysis Second stage of the analysis Discussion Conclusions Funding Orcid References
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