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Toolkit for Quantitative Surveys: Difference between revisions

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* '''[[w:Spearman's rank correlation coefficient|Spearman's rank correlation coefficient]]''' or '''Spearman's rho''', named after [[w:Charles Spearman|Charles Spearman]] and often denoted by the Greek letter rho is a [[w:non-parametric statistics|nonparametric]] measure of [[w:correlation and dependence|statistical dependence]] between two [[w:Variable (mathematics)#Applied statistics|variables]].  It assesses how well the relationship between two variables can be described using a [[w:monotonic|monotonic]] function.  If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other. ( Wikipedia )
* '''[[w:Spearman's rank correlation coefficient|Spearman's rank correlation coefficient]]''' or '''Spearman's rho''', named after [[w:Charles Spearman|Charles Spearman]] and often denoted by the Greek letter rho is a [[w:non-parametric statistics|nonparametric]] measure of [[w:correlation and dependence|statistical dependence]] between two [[w:Variable (mathematics)#Applied statistics|variables]].  It assesses how well the relationship between two variables can be described using a [[w:monotonic|monotonic]] function.  If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other. ( Wikipedia )


* The '''[[w:Pearson product-moment correlation coefficient|Pearson product-moment correlation coefficient]]'''  (sometimes referred to as the '''PPMCC''' or '''PCC''', or '''Pearson's ''r''''') is a measure of the linear [[w:correlation|correlation]] (dependence) between two variables ''X'' and ''Y'', giving a value between +1 and −1 inclusive, where 1 is total positive correlation, 0 is no correlation, and −1 is total negative correlation. It is widely used in the sciences as a measure of the degree of linear dependence between two variables. It was developed by [[w:Karl Pearson|Karl Pearson]] from a related idea introduced by [[w:Francis Galton|Francis Galton]] in the 1880s.
* The '''[[w:Pearson product-moment correlation coefficient|Pearson product-moment correlation coefficient]]'''  (sometimes referred to as the '''PPMCC''' or '''PCC''', or '''Pearson's ''r''''') is a measure of the ''linear [[w:correlation|correlation]] (dependence) between two variables'' ''X'' and ''Y'', giving a value between +1 and −1 inclusive, where 1 is total positive correlation, 0 is no correlation, and −1 is total negative correlation. It is widely used in the sciences as a measure of the degree of linear dependence between two variables. It was developed by [[w:Karl Pearson|Karl Pearson]] from a related idea introduced by [[w:Francis Galton|Francis Galton]] in the 1880s.
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