THE SIGNIFICANCE AND INTERPRETATION OF CANONICAL ANALYSIS

@article{Tatham1973THESA,
  title={THE SIGNIFICANCE AND INTERPRETATION OF CANONICAL ANALYSIS},
  author={Ronald L. Tatham and Ronald J. Dornoff},
  journal={Decision Sciences},
  year={1973},
  volume={4},
  pages={343-349}
}
With the increasing complexities involved in analyzing marketing problems, it is often necessary to use complex multivariate-statistical techniques. Although canonical analysis in many respects is similar to other multivariate techniques, it is not as easy to interpret the results as in the case of the more familiar techniques of multiple regression and discriminant analysis. This article provides insights into the problems which arise in interpreting the results of canonical analysis… Expand
AN APPROACH FOR IMPROVED INTERPRETATION OF MULTIVARIATE ANALYSIS
This paper proposes a method, canonical rotation analysis, which facilitates the substantive interpretation of results in multivariate analysis. Canonical rotation analysis is developed as a modelExpand
Canonical correlation analysis: potential for environmental health planning.
TLDR
This paper describes what canonical correlation is, and outlines how it might be used for these purposes, and an illustrative application based on data collected for Philadelphia, Pennsylvania is presented. Expand
On the rotation of canonical solutions
Some points of CLIFF/KRUS's important rotation procedure are criticized. This result in the definition of simple structure of canonical solutions, the use of STEWART/LOVE's redundancy index as aExpand
Organizational effectiveness and management's public values: A canonical analysis.
Canonical correlation analysis of manufacturing firm data demonstrated that organizational “competence” (executive ratings of organizational performance and executive turnover) was not strongly rel...

References

SHOWING 1-5 OF 5 REFERENCES
Bimultivariate Redundancy: A Comprehensive Measure of Interbattery Relationship
A generalized algorithm for estimating the proportion of total variance that one multivariate measurement battery explains in another is described. The generality of the algorithm is exemplifiedExpand
A general canonical correlation index.