Canonical Correlation
Catherine Day sent an email to the psych-postgrads list, which said:
Canonical correlation is one possibility. It's kind of atheoretical though - that is, if you know what the latent variables are, you probably shouldn't use it. You might want to use structural equation modelling or partial least squares analysis instead (although both of those are pretty fiddly, and you shouldn't use them unless you really, really have to).
Just to check: are you modelling at the item level? If you are, I'd consider summing to the scales (maybe factor analysing first) and then doing regression.
There's a book on canonical correlation, in the Sage Little Green Books series. I think that Tabachnick and Fidell's book 'Using multivariate statistics' cover it as well.
Finally, you have got the add on, you just don't realise it. It's an SPSS syntax file, called 'canonical correlation.sps', and you'll find it in the SPSS folder (c:\program files\SPSS, if you're using windows with a locally installed version).
To use it, you type syntax (into the syntax editor) like this:
INCLUDE 'c:\Program Files\SPSS11\Canonical correlation.sps'.
CANCORR set1 = y1, y2, y3/
set2 = x1, x2/.
Where x1 and x2 are predictors, and y1 and y2 are outcomes (just keep going until you've got them all). (I think I've got my x and y the right way around - I don't have SPSS here, so I'm guessing a bit.)
Sorry to bombard you with yet another statistical problem but I'm desperate! I have 2 sets of latent variables (1 set measuring taste preference and another set measuring personality dimensions).I replied:
I'm looking at the relationship between taste preference and personality and understand that canonical correlation is the appropriate analysis. The problem is nobody at Sheffield Hallam has performed one before and we do not have the add-on package for SPSS that does this.
Does anyone know how to do this type of analysis or can point me in the
direction of some training?
Canonical correlation is one possibility. It's kind of atheoretical though - that is, if you know what the latent variables are, you probably shouldn't use it. You might want to use structural equation modelling or partial least squares analysis instead (although both of those are pretty fiddly, and you shouldn't use them unless you really, really have to).
Just to check: are you modelling at the item level? If you are, I'd consider summing to the scales (maybe factor analysing first) and then doing regression.
There's a book on canonical correlation, in the Sage Little Green Books series. I think that Tabachnick and Fidell's book 'Using multivariate statistics' cover it as well.
Finally, you have got the add on, you just don't realise it. It's an SPSS syntax file, called 'canonical correlation.sps', and you'll find it in the SPSS folder (c:\program files\SPSS, if you're using windows with a locally installed version).
To use it, you type syntax (into the syntax editor) like this:
INCLUDE 'c:\Program Files\SPSS11\Canonical correlation.sps'.
CANCORR set1 = y1, y2, y3/
set2 = x1, x2/.
Where x1 and x2 are predictors, and y1 and y2 are outcomes (just keep going until you've got them all). (I think I've got my x and y the right way around - I don't have SPSS here, so I'm guessing a bit.)
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Dr.V.Charles
Associate Professor
KUTPM, Malaysia
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