Testing Associations between Latent Variables: Canonical Correlation Analysis (CCA)

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ChAnwar
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Testing Associations between Latent Variables: Canonical Correlation Analysis (CCA)

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This video explains method to test correlation among sets of variables or latent variables in most easiest and comprehensive way. To test this type of correlation, Canonical Correlation Analysis (CCA) is the recommended technique. If qualitative variable(s) is/are included in Dependent Variables /Covariates the method will be called Canonical Correspondence Analysis (CCA).

To watch this full video, please visit: https://www.youtube.com/watch?v=z1f8hQveGnY

Below is the link to the reference article used in this lecture that was published in the International Journal of Management, Economics and Social Sciences:

The Canonical Correlation Analysis between the Fitness of Organizational Condition and Integration Possibility: The Evidence of Configurational Approach

http://ijmess.com/showabstract.php?volu ... 15&ab=ab-1

The Syntax for Canonical Correlation Analysis (CCA):

MANOVA locus_of_control self_concept motivation WITH read write math science
/ discrim all alpha(1)
/ print=sig(eigen dim)
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