Pearson correlation measures the strength and direction of a linear association between two numeric variables. It is sensitive to outliers and does not establish causality.
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Correlation and association
Measures of the strength and form of association between variables, with careful separation from causation.
Methods family
Measures of the strength and form of association between variables, with careful separation from causation.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Spearman correlation measures monotonic association using ranks rather than raw values. It is useful when relationships are non-linear but consistently ordered or when data are ordinal.
Read the full entry →Kendall’s tau is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Point-biserial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Phi coefficient is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Cramér’s V is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Tetrachoric correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Polychoric correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Partial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Semi-partial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Canonical correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Distance correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Mutual information is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Association-rule mining is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Lift and confidence is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Market-basket association analysis is a method within correlation and association. Measures of the strength and form of association between variables, with careful separation from causation. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Browse linked method entries
Pearson correlation
Pearson correlation measures the strength and direction of a linear association between two numeric variables. It is sensitive to outliers and does not establish causality.
Open methodSpearman rank correlation
Spearman correlation measures monotonic association using ranks rather than raw values. It is useful when relationships are non-linear but consistently ordered or when data are ordinal.
Open methodKendall’s tau
Kendall’s tau is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPoint-biserial correlation
Point-biserial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPhi coefficient
Phi coefficient is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCramér’s V
Cramér’s V is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodTetrachoric correlation
Tetrachoric correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPolychoric correlation
Polychoric correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPartial correlation
Partial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodSemi-partial correlation
Semi-partial correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCanonical correlation
Canonical correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDistance correlation
Distance correlation is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMutual information
Mutual information is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAssociation-rule mining
Association-rule mining is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodLift and confidence
Lift and confidence is a statistical or analytical concept within correlation and association. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMarket-basket association analysis
Market-basket association analysis is a method within correlation and association. Measures of the strength and form of association between variables, with careful separation from causation. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodNo entries match this search.