Hostname: page-component-7b7567c8c-wxvwp Total loading time: 0 Render date: 2026-11-15T23:03:40.382Z Has data issue: false hasContentIssue false
  • English
  • Français

Multivariate Analysis: Data Reduction and Treatment Evaluation

Published online by Cambridge University Press:  29 January 2018

Allan Wilson
Allan Wilson*
Affiliation:
University of Manitoba, 770 Bannatyne Avenue, Winnipeg, Canada, R3E 0W3
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

In a recent article, Everitt (1975) discussed several problems with multivariate techniques. However, two useful applications of multivariate techniques were not covered. The present paper describes the use of factor analysis to reduce a large array of outcome variables to a statistically manageable number, and multivariate analysis of variance to determine the relative effectiveness of several treatment regimes where a single outcome variable cannot be specified. It is concluded that the advantages of a multivariate approach outweigh the disadvantages, provided the researcher is careful in interpreting and reporting his results.

Information

Type
Research Article
Information
The British Journal of Psychiatry , Volume 128 , Issue 4 , April 1976, pp. 404 - 407
Copyright
Copyright © Royal College of Psychiatrists, 1976 

References

Everitt, B. S. (1975) Multivariate analysis: the need for data, and other problems. British Journal of Psychiatry, 126, 237—40.CrossRefGoogle ScholarPubMed
Lord, F. M. (1963) Elementary models for measuring change. In Problems in Measuring Change (ed. Harris, C. W.). Madison: University of Wisconsin Press.Google Scholar

This journal is not currently accepting new eletters.

eLetters

No eLetters have been published for this article.