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Kratko priopćenje
https://doi.org/10.5937/sejodr6-21664

StaTips Part VI: Bivariate correlation

Giuseppe Perinetti

Puni tekst: engleski, pdf (165 KB) str. 2-5 preuzimanja: 60* citiraj
APA 6th Edition
Perinetti, G. (2019). StaTips Part VI: Bivariate correlation. South European journal of orthodontics and dentofacial research, 6 (1), 2-5. https://doi.org/10.5937/sejodr6-21664
MLA 8th Edition
Perinetti, Giuseppe. "StaTips Part VI: Bivariate correlation." South European journal of orthodontics and dentofacial research, vol. 6, br. 1, 2019, str. 2-5. https://doi.org/10.5937/sejodr6-21664. Citirano 18.11.2019.
Chicago 17th Edition
Perinetti, Giuseppe. "StaTips Part VI: Bivariate correlation." South European journal of orthodontics and dentofacial research 6, br. 1 (2019): 2-5. https://doi.org/10.5937/sejodr6-21664
Harvard
Perinetti, G. (2019). 'StaTips Part VI: Bivariate correlation', South European journal of orthodontics and dentofacial research, 6(1), str. 2-5. https://doi.org/10.5937/sejodr6-21664
Vancouver
Perinetti G. StaTips Part VI: Bivariate correlation. South European journal of orthodontics and dentofacial research [Internet]. 2019 [pristupljeno 18.11.2019.];6(1):2-5. https://doi.org/10.5937/sejodr6-21664
IEEE
G. Perinetti, "StaTips Part VI: Bivariate correlation", South European journal of orthodontics and dentofacial research, vol.6, br. 1, str. 2-5, 2019. [Online]. https://doi.org/10.5937/sejodr6-21664

Sažetak
A very common situation in medical research, including orthodontics, is when a researcher has to verify the association between 2variables, best referred to as bivariate correlation. Bivariate correlation is an analysis that measures the strength of relationship between twovariables through the calculation of different correlation coefficients. The most common correlation coefficients are: Pearson (r), Kendall(rho), Spearman (rho) and the point-biserial (rpb). The choice of the correct coefficient is based on the type of data to be analysed and, forsome of them, the existence of assumptions for using parametrical tests. Indications on how to choose the correct coefficient and abouttheir interpretation are provided.

Ključne riječi
bivariate, correlation, statistic

Hrčak ID: 220202

URI
https://hrcak.srce.hr/220202

Posjeta: 119 *