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| <big>'''This page has permanently moved to the [https://develop.consumerium.org/wiki/User:Jukeboksi/BBA_studies/Toolkit_for_Quantitative_Surveys Consumerium.org development wiki]'''</big>
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| Teacher: Jutta Heikkilä
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| 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]])
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| Course code: MET8LF001
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| 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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| ----
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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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| * A '''[[w:scatter plot|scatter plot]]''', '''scatterplot''', or '''scattergraph''' is a type of [[w:mathematical diagram|mathematical diagram]] using [[w:Cartesian coordinate system|Cartesian coordinates]] to display values for two [[w:Variable (mathematics)|variable]]s for a set of data. ( Wikipedia ) | | * A '''[[w:scatter plot|scatter plot]]''', '''scatterplot''', or '''scattergraph''' is a type of [[w:mathematical diagram|mathematical diagram]] using [[w:Cartesian coordinate system|Cartesian coordinates]] to display values for two [[w:Variable (mathematics)|variable]]s for a set of data. ( 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 )
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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.
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| [[Category:realcontent]]
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| [[Category:Free choice studies]],
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| [[Category:Toolbox courses]]
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| [[Category:Stastical methods]]
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| [[Category:Quantitative research]]
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| [[Category:Intenstive week courses]]
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