Содержание
- 2. Aims Measuring Relationships Scatterplots Covariance Pearson’s Correlation Coefficient Nonparametric measures Spearman’s Rho Kendall’s Tau
- 3. What is a Correlation? It is a way of measuring the extent to which two variables
- 4. Measuring Relationships We need to see whether as one variable increases, the other increases, decreases or
- 5. Covariance Calculate the error between the mean and each subject’s score for the first variable (x).
- 6. Problems with Covariance It depends upon the units of measurement. E.g. The Covariance of two variables
- 7. The Correlation Coefficient (Pearson)
- 8. Conducting Correlation Analysis
- 9. Things to know about the Correlation
- 10. Interpretation of Correlation (may vary by discipline) Correlations From 0 to 0.25 (-0.25) = little (weak)
- 11. Correlation and Causality The third-variable problem: in any correlation, causality between two variables cannot be assumed
- 12. Partial vs Semi-Partial Correlations
- 13. Nonparametric Correlation
- 14. One-Tailed vs Two-Tailed Tests
- 15. 2-Tailed Testing
- 17. Скачать презентацию