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

Contributor(s): Material type: TextPublisher: London : SAGE Publications, 2015Description: 1 online resource : illustrations (black and white, and colour)Content type:
  • text
  • still image
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781473948181 (online resource) :
Subject(s): DDC classification:
  • 001.422 23
Online resources: 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.
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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.

Specialized.

Description based on online resource; title from home page (viewed on September 16, 2015).

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