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Canonical Analysis when Number of Variables is Large Relative to Sample Size

New York University

Richard B. Darlington

Cornell University

Canonical Variate Analysis (CVA) has two major problems: sampling error and accumulated rounding error. This paper describes a method designed to minimize these problems. The combined effect of the two problems was assessed for CVA and the new technique in an empirical study. The new technique appears to be superior to CVA when the ratio of variables to sampling units is greater than 1/10.

Key Words: Canonical Variate Analysis • Sampling Error • Cross Validation

Journal of Educational and Behavioral Statistics, Vol. 1, No. 4, 313-332 (1976)
DOI: 10.3102/10769986001004313


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