Toolkit for Quantitative Surveys: Difference between revisions

Toolkit for Quantitative Surveys (edit)

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	* 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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