Hi Abbas! Canonical correlation is used frequently when we are studying very complicated relationships in health care research- it is exciting! We can, as researchers , use more than one dependent variable in our study. It adds meat to the study: more than one canonical coefficient can be generated from a single analysis because of the fact that each coefficient can represent the relationship between one factor in one of the groups of variables, and another related factor in the other group. It would be interesting to hear about your research!
Teresa
Canonical-correlation analysis (CCA) is a way of making sense of cross-covariance matrices.
Canonical Correlation extends bivariate correlation, allowing 2+ continuous (independent variables) IVs (on left) with 2+ continuous dependent variables (DV) (variables on right).
There are several layers of analysis:
Correlation between pairs of canonical variates
Loadings between IVs & their canonical variates (on left)
Loadings between DVs & their canonical variates (on right)
Adequacy
Communalities
You can do analysis in SPSS.
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