Toolkit for Quantitative Surveys: Difference between revisions

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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>
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.
 
[[Category:realcontent]]
[[Category:Free choice studies]],
[[Category:Toolbox courses]]
[[Category:Stastical methods]]
[[Category:Quantitative research]]
[[Category:Intenstive week courses]]

Latest revision as of 19:48, 2 April 2020

This page has permanently moved to the Consumerium.org development wiki


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.,