The standardized and unstandardized canonical correlation coefficients

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SUMMARY

The discussion centers on the standardized and unstandardized canonical correlation coefficients produced by SPSS 27. The standardized canonical correlation coefficient is defined as the covariance of standardized variables, while the unstandardized canonical correlation coefficient is simply the covariance of the original variables. Understanding the distinction between these two coefficients is crucial for interpreting canonical correlation analysis results accurately.

PREREQUISITES
  • Familiarity with canonical correlation analysis
  • Understanding of covariance and correlation concepts
  • Basic knowledge of SPSS 27 statistical software
  • Ability to interpret statistical outputs
NEXT STEPS
  • Study the mathematical derivation of canonical correlation coefficients
  • Learn how to perform canonical correlation analysis in SPSS 27
  • Explore the implications of standardized vs. unstandardized coefficients in statistical modeling
  • Investigate applications of canonical correlation analysis in various research fields
USEFUL FOR

Statisticians, data analysts, researchers conducting multivariate analysis, and anyone utilizing SPSS 27 for statistical modeling will benefit from this discussion.

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TL;DR
What exactly are the standardized and unstandardized canonical correlation coefficients and what is the difference between them?
The output of SPSS 27 Canonical Correlation gives the standardized and unstandardized canonical correlation coefficients.

What exactly are the standardized and unstandardized canonical correlation coefficients and what is the difference between them?
 
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standardized:
$$
\operatorname{cov}\left(\dfrac{X-\mu_X}{\sigma_X}\, , \,\dfrac{Y-\mu_Y}{\sigma_Y}\right)=\dfrac{1}{\sigma_X\,\sigma_Y}\,\operatorname{cov}(X,Y)
$$

unstandardized:
##\operatorname{cov}(X,Y)##
 
fresh_42 said:
standardized:
$$
\operatorname{cov}\left(\dfrac{X-\mu_X}{\sigma_X}\, , \,\dfrac{Y-\mu_Y}{\sigma_Y}\right)=\dfrac{1}{\sigma_X\,\sigma_Y}\,\operatorname{cov}(X,Y)
$$

unstandardized:
##\operatorname{cov}(X,Y)##

You simply define the standardized and unstandardized correlation coefficient, but we are talking about the canonical correlation coefficient here.
 

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