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Measures of association, also known as correlation measures, quantify the strength and direction of the relationship between two variables. Here are some common measures of association:
Overview: The Pearson correlation coefficient measures the linear relationship between two metric variables.
Overview: The Spearman coefficient assesses the strength and direction of the monotonic relationship between two variables, regardless of scale type.
Overview: Kendall's Tau is a rank correlation coefficient that measures the strength and direction of the rank relationship between two variables.
Overview: The Point-Biserial coefficient quantifies the correlation between a metric variable and a dichotomous (binary) variable.
Overview: The Phi coefficient assesses the association between two dichotomous variables.
Overview: Cramér's V is a measure of association between two categorical variables based on the chi-square test.
These measures of association provide different perspectives on the relationship between variables and are chosen based on the nature of the data and the research question.