Toolkit for Quantitative Surveys: Difference between revisions

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Revision as of 16:55, 27 March 2014 (view source) Jukeboksi (talk \| contribs) (definition of w:Pearson product-moment correlation coefficient) ← Older edit		Revision as of 17:07, 27 March 2014 (view source) Jukeboksi (talk \| contribs) (tweak) Newer edit →
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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.