Toolkit for Quantitative Surveys - Revision history

Jukeboksi: + notice: moved to develop.consumerium.org

2020-04-02T19:48:03Z

+ notice: moved to develop.consumerium.org

← Older revision		Revision as of 19:48, 2 April 2020
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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		Teacher: Jutta Heikkilä

Jukeboksi: + 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 )

2015-01-23T15:46:11Z

+ 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 )

← Older revision		Revision as of 15:46, 23 January 2015
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	Course code: MET8LF001		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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Jukeboksi: Added TQS to categories :Category:Quantitative research :Category:Intenstive week courses

2015-01-23T15:24:48Z

Added TQS to categories Category:Quantitative research Category:Intenstive week courses

← Older revision		Revision as of 15:24, 23 January 2015
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	Teacher: Jutta Heikkilä		Teacher: Jutta Heikkilä

	Type of course: [[:Category:Free choice studies\|Free choice studies]], [[:Category:toolbox courses\|toolbox courses]] in [[:Category:stastical methods\|stastical methods]]		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 code: MET8LF001
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	[[Category:Toolbox courses]]		[[Category:Toolbox courses]]
	[[Category:Stastical methods]]		[[Category:Stastical methods]]
			[[Category:Quantitative research]]
			[[Category:Intenstive week courses]]

Jukeboksi: adding teacher name, categories and course code

2015-01-23T15:03:55Z

adding teacher name, categories and course code

← Older revision		Revision as of 15:03, 23 January 2015
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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]]

			Course code: MET8LF001


			----
	* '''[[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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	[[Category:realcontent]]		[[Category:realcontent]]
			[[Category:Free choice studies]],
			[[Category:Toolbox courses]]
			[[Category:Stastical methods]]

Jukeboksi: 10 revisions: new try at importing

2014-07-26T19:36:40Z

10 revisions: new try at importing

← Older revision		Revision as of 19:36, 26 July 2014
(No difference)

Jukeboksi: Category:realcontent

2014-07-26T18:04:26Z

Category:realcontent

← Older revision		Revision as of 18:04, 26 July 2014
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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.

			[[Category:realcontent]]

Jukeboksi: tweak

2014-03-27T17:07:16Z

tweak

← Older revision		Revision as of 17:07, 27 March 2014
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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.

Jukeboksi: definition of w:Pearson product-moment correlation coefficient

2014-03-27T16:55:25Z

definition of w:Pearson product-moment correlation coefficient

← Older revision		Revision as of 16:55, 27 March 2014
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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.

Jukeboksi: definition of w:Spearman's rank correlation coefficient

2014-03-27T16:09:01Z

definition of w:Spearman's rank correlation coefficient

← Older revision		Revision as of 16:09, 27 March 2014
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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 )

			* '''[[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 )

Jukeboksi: adding definition of w:scatter plot

2014-03-27T16:04:24Z

adding definition of w:scatter plot

← Older revision		Revision as of 16:04, 27 March 2014
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	* A '''[[w:crosstab\|crosstab]]''' is another name for a [[w:contingency table\|contingency table]], which is a type of table created by [[w:Cross tabulation\|crosstabulation]]. In survey research (e.g., polling, market research), a "crosstab" is any table showing [[w:summary statistic\|summary statistic]]s. 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 )		* A '''[[w:crosstab\|crosstab]]''' is another name for a [[w:contingency table\|contingency table]], which is a type of table created by [[w:Cross tabulation\|crosstabulation]]. In survey research (e.g., polling, market research), a "crosstab" is any table showing [[w:summary statistic\|summary statistic]]s. 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 )

			* 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 )