What we need to know when calculating the coefficient of correlation?
Autor: | Lidija Bilić-Zulle, Mladen Petrovečki, Martina Udovičić, Ksenija Baždarić |
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Předmět: |
RV coefficient
Coefficient of determination Interclass correlation Fisher transformation Biochemistry (medical) Clinical Biochemistry Spurious correlation korelacija Pearsonov koeficijent korelacije Spearmanov koeficijent korelacije koeficijent determinacije pogrješka statistika Correlation ratio Spearman's rank correlation coefficient Pearson product-moment correlation coefficient symbols.namesake Statistics symbols correlation Pearson's correlation coefficient Spearman's correlation coefficient coefficient of determination error statistics Mathematics |
Zdroj: | ResearcherID Biochemia Medica Volume 17 Issue 1 |
ISSN: | 1330-0962 1846-7482 |
Popis: | Korelacija je statistički postupak za izračunavanje povezanosti dviju varijabli. Vrijednost korelacije brojčano se iskazuje koeficijentom korelacije, najčešće Pearsonovim ili Spearmanovim, dok se značajnost koeficijenta iskazuje vrijednošću P. Koeficijent korelacije pokazuje u kojoj su mjeri promjene vrijednosti jedne varijable povezane s promjenama vrijednosti druge varijable. Predznak koeficijenta korelacije (+ ili -) govori nam o smjeru povezanosti. Prilikom izračunavanja korelacije najčešće se pogrješke odnose na uvjete za izračunavanje korelacije, tumačenje koeficijenta i značajnost korelacije, visoke koeficijente korelacije, pretpostavljanje uzročno-posljedične veze, jačinu povezanosti (koeficijent determinacije), te usporedbu dva koeficijenta korelacije. 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. |
Databáze: | OpenAIRE |
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