The standardized and unstandardized canonical correlation coefficients

In summary, the output of SPSS 27 Canonical Correlation provides both the standardized and unstandardized canonical correlation coefficients, with the difference being that the standardized coefficients are adjusted for scale differences between the two variables, while the unstandardized coefficients are not.
  • #1
Ad VanderVen
169
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TL;DR Summary
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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  • #2
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)##
 
  • #3
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.
 

1. What is the difference between standardized and unstandardized canonical correlation coefficients?

The standardized canonical correlation coefficient is a measure of the strength and direction of the linear relationship between two sets of variables, after adjusting for the scale of the variables. On the other hand, the unstandardized canonical correlation coefficient is a measure of the strength and direction of the linear relationship between two sets of variables, without adjusting for the scale of the variables.

2. How are standardized and unstandardized canonical correlation coefficients calculated?

The standardized canonical correlation coefficient is calculated by dividing the covariance between the two sets of variables by the square root of the product of the variances of each set. The unstandardized canonical correlation coefficient is calculated by dividing the covariance between the two sets of variables by the square root of the product of the variances of each set, without adjusting for the scale of the variables.

3. What is the range of values for standardized and unstandardized canonical correlation coefficients?

The range for both standardized and unstandardized canonical correlation coefficients is between -1 and 1. A value of -1 indicates a perfect negative linear relationship, 0 indicates no linear relationship, and 1 indicates a perfect positive linear relationship.

4. How are standardized and unstandardized canonical correlation coefficients interpreted?

The standardized canonical correlation coefficient is interpreted as the proportion of shared variance between the two sets of variables, after adjusting for the scale of the variables. The unstandardized canonical correlation coefficient is interpreted as the amount of shared variance between the two sets of variables, without adjusting for the scale of the variables.

5. In what situations would it be more appropriate to use standardized or unstandardized canonical correlation coefficients?

Standardized canonical correlation coefficients are more appropriate when the variables in the two sets have different scales, as it allows for a more direct comparison of the strength of the relationship. Unstandardized canonical correlation coefficients are more appropriate when the variables in the two sets have similar scales or when the focus is on the amount of shared variance between the sets.

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