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What we need to know when calculating the coefficient of correlation?

Martina Udovičić
Ksenija Baždarić
Lidija Bilić-Zulle
Mladen Petrovečki


Full text: croatian pdf 146 Kb

page 10-15

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Full text: english pdf 146 Kb

page 10-15

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Abstract

Correlation is a statistical procedure applied to calculate association between two variables. The value of correlation is numerically shown by a coefficient of correlation, most often by Pearson's or Spearman's coefficient, while the significance of the coefficient is expressed by P value. The coefficient of correlation shows the extent to which changes in the value of one variable are correlated to changes in the value of the other. A sign preceding the coefficient of correlation (+ or -) indicates the direction of correlation. The most frequent errors in calculating correlation are related to conditions for calculation, interpretation of the coefficient and correlation significance, high correlation coefficients, assumption of causal relationship, the strength of correlation (coefficient of determination), and comparison of two correlation coefficients.

Keywords

correlation; Pearson's correlation coefficient; Spearman's correlation coefficient; coefficient of determination; error; statistics

Hrčak ID:

12855

URI

https://hrcak.srce.hr/12855

Publication date:

7.6.2007.

Article data in other languages: croatian

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