Hostname: page-component-745bb68f8f-cphqk Total loading time: 0 Render date: 2025-02-02T04:11:45.403Z 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
Get access Rights & Permissions [Opens in a new window]

Summary

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.

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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
Submit a response

eLetters

No eLetters have been published for this article.