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What measures of correlation exist?

02/22/2024 | By: FDS

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:

1. Pearson Correlation Coefficient

Overview: The Pearson correlation coefficient measures the linear relationship between two metric variables.

2. Spearman Rank Correlation Coefficient

Overview: The Spearman coefficient assesses the strength and direction of the monotonic relationship between two variables, regardless of scale type.

3. Kendall's Tau

Overview: Kendall's Tau is a rank correlation coefficient that measures the strength and direction of the rank relationship between two variables.

4. Point-Biserial Correlation Coefficient

Overview: The Point-Biserial coefficient quantifies the correlation between a metric variable and a dichotomous (binary) variable.

5. Phi Coefficient

Overview: The Phi coefficient assesses the association between two dichotomous variables.

6. Cramér's V

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.

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