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Understanding Correlation Analysis: Key Principles & Interpretation

Learn the basics of correlation analysis, including correlation coefficient types like Pearson's for cardinal variables and Spearman's/Kendall's for ordinal variables. Explore measuring relationships between variables, effect sizes, and test methods.

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Understanding Correlation Analysis: Key Principles & Interpretation

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  1. Statistics in SPSSLecture 10 Petr Soukup, Charles University in Prague

  2. CORRELATION ANALYSIS

  3. Correlationcoefficient Measurement of relationship between cardinal and ordinal variables Effect size for relationship Values between -1 (perfect negative) and 1 (perfect positive relationship) 0 = no relationship

  4. Correlationcoefficient Mostly used coefficient: Pearson’s (for cardinal), Spearman’s (for ordinal) and Kendall’s (for ordinal) Analyze-Correlate-Bivariate

  5. Correlationcoefficient Basic principles for individual coefficient Pearson’s (for cardinal)– covariance and standardization Spearman’s (for ordinal) – correlation for rankings Kendall’s (for ordinal) – concordance and discordance

  6. Correlationcoefficient Test for correlation coefficient Confidence interval for correlation

  7. HW

  8. HW10 Try to analyze relationship between two ordinal or cardinal variables by correlation coefficient. Interpret results.

  9. Thanks for your attention

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