Spearman Correlation - SPSS (part 2)
how2stats
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Spearman Correlation - SPSS (part 2) shows how to use Spearman’s method to analyze non-normally distributed or ordinal data by ranking values, comparing it to Pearson’s, and revealing stronger or more accurate relationships between variables like age and income.
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Spearman correlations are very useful to estimate the correlation between two variables that are measured on an interval ratio but are non-normally distributed, and I would argue that it is better than performing a log-based transformation.
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