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r - Interpretation when converting correlation of continuous data to Cohen's d - Cross Validated

By A Mystery Man Writer

A popular textbook on meta-analysis (1) discusses how to convert a correlation, $r$, to Cohen's $d$ (i.e., the standardized mean difference): I became confused about how to interpret the resulting

r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

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r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

Pearson correlation coefficient is a measure of linear correlation - proof - Cross Validated

r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

Chatterjee Correlation Coefficient: A robust alternative for classic correlation methods in geochemical studies- (including “TripleCpy” Python package) - ScienceDirect

r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery

r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

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r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

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r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

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r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

An overview of correlation measures between categorical and continuous variables, by Outside Two Standard Deviations

r - Interpretation when converting correlation of continuous data to  Cohen's d - Cross Validated

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