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Statistics in SPSS Lecture 10. Petr Soukup, Charles University in Prague. CORRELATION ANALYSIS. Co rrelation coefficient. Measurement of relationship between cardinal and ordinal variables Effect size for relationship
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Statistics in SPSSLecture 10 Petr Soukup, Charles University in Prague
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
Correlationcoefficient Mostly used coefficient: Pearson’s (for cardinal), Spearman’s (for ordinal) and Kendall’s (for ordinal) Analyze-Correlate-Bivariate
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
Correlationcoefficient Test for correlation coefficient Confidence interval for correlation
HW10 Try to analyze relationship between two ordinal or cardinal variables by correlation coefficient. Interpret results.