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Effect Size: Cohen d vs. Pearson r

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This tutorial explains the basic idea of Cohen's d and Pearson correlation coefficient r for effect sizes. It explains the formulas and use data to explain the difference and connection betweeen Cohen's d and Pearson correlation coefficient r.
Content of this tutorial:
0:00 - Explain the concepts of Cohen's d and Pearson correlation coefficient r (effect size)
0:50 - Definitions of small, medium and large effect sizes via Cohen's d and Pearson correlation coefficient r
2:58 - Data example using R for Pearson correlation coefficient r for effect sizes
4:50 - Data example using R for Cohen's d
7:04 - Connection and conversion between Cohen's d and Pearson r
PDF used in the tutorial:
Webpage version of the tutorial:
Disclaimer:
This tutorial is for information sharing only. The author accepts no responsibility for the topicality, correctness, completeness or quality of the information provided.
Content of this tutorial:
0:00 - Explain the concepts of Cohen's d and Pearson correlation coefficient r (effect size)
0:50 - Definitions of small, medium and large effect sizes via Cohen's d and Pearson correlation coefficient r
2:58 - Data example using R for Pearson correlation coefficient r for effect sizes
4:50 - Data example using R for Cohen's d
7:04 - Connection and conversion between Cohen's d and Pearson r
PDF used in the tutorial:
Webpage version of the tutorial:
Disclaimer:
This tutorial is for information sharing only. The author accepts no responsibility for the topicality, correctness, completeness or quality of the information provided.