How we change what others think, feel, believe and do 
Spearman correlation
Explanations > Social Research > Analysis > Spearman correlation Description  Example  Discussion  See also
DescriptionThe Spearman Rank Correlation Coefficient is a form of the Pearson coefficient with the data converted to rankings (ie. when variables are ordinal). It can be used when there is nonparametric data and hence Pearson cannot be used. The raw scores are converted to ranks and the differences (d_{i}) between the ranks of each observation on the two variables are calculated. The Spearman coefficient is denoted with the Greek letter rho (ρ). ρ = 1  (6 * SUM(d_{i}^{2})) / (n * (n^{2}  1)) ExampleTwo groups, x and y, are asked to rank ten items. The correlation between their rankings are then compared as below
The correlation of 0.89 is quite low, showing that they correlate well.
DiscussionThe Spearman Coefficient can be used to measure ordinal data (ie. in rank order), not interval (as Pearson). It effectively works by first ranking the data then applying Pearson's calculation to the rank numbers. This coefficient is also called Spearman's rho (after the Greek letter used). SPSS: Analyze, Correlate, Bivariate (check Spearman's rho) See also

Site Menu 
 Home  Top  Quick Links  Settings  
Main sections:  Disciplines  Techniques  Principles  Explanations  Theories  
Other sections:  Blog!  Quotes  Guest articles  Analysis  Books  Help  
More pages:  Contact  Caveat  About  Students  Webmasters  Awards  Guestbook  Feedback  Sitemap  Changes  
Settings:  Computer layout  Mobile layout  Small font  Medium font  Large font  Translate  
 Home  Top  Menu  Quick Links  
© Changing Works 2002 