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

Author

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  • Sharon L. Weinberg
  • Richard B. Darlington

Abstract

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.

Suggested Citation

  • Sharon L. Weinberg & Richard B. Darlington, 1976. "Canonical Analysis when Number of Variables is Large Relative to Sample Size," Journal of Educational and Behavioral Statistics, , vol. 1(4), pages 313-332, December.
    • Handle: RePEc:sae:jedbes:v:1:y:1976:i:4:p:313-332
    DOI: 10.3102/10769986001004313
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