1. Introduction -- Trends in use of canonical analysis -- Questions addressed by canonical analysis -- 2. The logic of canonical analysis -- Canonical calculations -- Canonical correlation as a bivariate coefficient -- Required statistical assumptions -- Computing significance tests -- 3. Result interpretation: additional coefficients -- Structure coefficients -- Communality and adequacy coefficients -- Redundancy coefficients and analysis -- Index coefficients -- 4. Supplementary analytic techniques -- Function rotation -- Invariance calculations -- Backward canonical analysis -- Some canonical extensions -- 5. Synthesis and summary -- Rationale for the multivariate general linear model -- Limits and uses of canonical analysis -- Summary
