Youtor
Mastering Spearman Rank Correlation Analysis in R
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// Spearman correlation in R // • The Spearman rank correlation coefficient can be easily calculated in R using the cor.test()-function. In addition the argument method= spearman is required within cor.test(). • I'll show the details that will enhance your data analysis with specifying the correct alternative hypothesis, requesting a different confidence interval - if needed and how to classify the magnitude of your correlation aka. effect. • For the latter I will also refer to Cohen (1992): A Power Primer and the thresholds provided, mainly applicable for the behavioral sciences. • • 📚 Literature • =========== • 📚 Cohen, J. (1992): Quantitative methods in psychology: A power primer. Psychological bulletin, pp. 155-159. • • ⏰ Timestamps: • ============== • 0:00 Introduction • 0:09 Requirements for the Spearman rank correlation coefficient • 0:14 Using cor.test() in R • 0:27 One-sided vs. two-sided testing • 1:18 Interpretation: I) p value • 1:51 Interpretation: II) correlation coefficient r • 2:08 Interpretation: III) effect size classification • If you have any questions or suggestions regarding the Spearman rank correlation in R, please use the comment function. Thumbs up or down to decide if you found the video helpful. • #useR #statorials • • Support channel? 🙌🏼 • =================== • Paypal donation: https://www.paypal.com/paypalme/Bjoer... • Amazon affiliate link: https://amzn.to/49BqP5H • Thank you for your support! ♥
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