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Learn about Spearman's rank-order correlation coefficient in SPSS with data from the Global Health Observatory Data (2012).

This dataset example introduces researchers to the Spearman rank-order correlation coefficient, which is a non-parametric measure of association between two ordinal, interval or ratio level variables. The Spearman rank-order correlation coefficient measures whether there is a positive or negative mo...

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Bibliographic Details
Format: eBook
Language:English
Published: London : SAGE Publications, 2015.
Subjects:
Correlation (Statistics)
Life expectancy > Statistics.
Research > Statistical methods > Case studies.
Research > Statistical methods.
Corrélation (Statistique)
Espérance de vie > Statistiques.
Recherche > Méthodes statistiques > Études de cas.
Recherche > Méthodes statistiques.
correlation.
Life expectancy.
Case studies.
Statistics.
Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset example introduces researchers to the Spearman rank-order correlation coefficient, which is a non-parametric measure of association between two ordinal, interval or ratio level variables. The Spearman rank-order correlation coefficient measures whether there is a positive or negative monotonic relationship between two such variables. This example uses a subset of data from the 2012 Global Health Observatory data from the World Health Organization. It looks specifically at the correlation between a country's average life expectancy at birth and the country's per capita spending on health.
Physical Description:1 online resource : illustrations (black and white, and colour)
Audience:Specialized.
ISBN:9781473948181
1473948185