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User:Jukeboksi/BBA studies/Toolkit for Quantitative Surveys: Difference between revisions
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Revision as of 12:42, 30 June 2020
, 30 June 2020+ This article used to be at the address https://GloBBA12.si/wiki/Toolkit_for_Quantitative_Surveys from 2012 to 2016 and https://wiki.study/regarding/Toolkit_for_Quantitative_Surveys from 2016 to 2020
(definition of w:Pearson product-moment correlation coefficient) |
(+ This article used to be at the address https://GloBBA12.si/wiki/Toolkit_for_Quantitative_Surveys from 2012 to 2016 and https://wiki.study/regarding/Toolkit_for_Quantitative_Surveys from 2016 to 2020) |
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Teacher: Jutta Heikkilä | |||
Type of course: [[:Category:Free choice studies|Free choice studies]], [[:Category:toolbox courses|toolbox courses]] in [[:Category:stastical methods|stastical methods]] and [[:Category:Quantitative research|Quantitative research]] ([[:Category:Intenstive week courses|Intenstive week courses]]) | |||
Course code: MET8LF001 | |||
Course material: Quantitative analysis with SPSS ( Not quite sure of the exact title ) booklet by Jutta Heikkilä available only from the shop in Suomen Liikemiesten Kauppaopisto ( SLK ) | |||
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* '''[[w:SPSS|SPSS Statistics]]''' is a [[w:computer program|software package]] used for [[w:statistical analysis|statistical analysis]]. ( Wikipedia ) | * '''[[w:SPSS|SPSS Statistics]]''' is a [[w:computer program|software package]] used for [[w:statistical analysis|statistical analysis]]. ( Wikipedia ) | ||
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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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<center>This article '''used to be''' at the address '''<nowiki>https://GloBBA12.si/wiki/Toolkit_for_Quantitative_Surveys</nowiki>''' from 2012 to 2016 and '''<nowiki>https://wiki.study/regarding/Toolkit_for_Quantitative_Surveys</nowiki>''' from 2016 to 2020</center> | |||
[[Category:realcontent]] | |||
[[Category:Free choice studies]], | |||
[[Category:Toolbox courses]] | |||
[[Category:Stastical methods]] | |||
[[Category:Quantitative research]] | |||
[[Category:Intenstive week courses]] | |||