User:Jukeboksi/BBA studies/Toolkit for Quantitative Surveys: Difference between revisions

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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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    * 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]]

    Latest revision as of 12:42, 30 June 2020

    Teacher: Jutta Heikkilä

    Type of course: Free choice studies, toolbox courses in stastical methods and Quantitative research (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 )


    • Statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. ( Wikipedia )
    • A crosstab is another name for a contingency table, which is a type of table created by crosstabulation. In survey research (e.g., polling, market research), a "crosstab" is any table showing summary statistics. Commonly, crosstabs in survey research are concatenations of multiple different tables. For example, the crosstab below combines multiple contingency tables and tables of averages. ( Wikipedia )
    • The Pearson product-moment correlation coefficient (sometimes referred to as the PPMCC or PCC, or Pearson's r) is a measure of the linear 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 Karl Pearson from a related idea introduced by Francis Galton in the 1880s.



    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

    ,