Multivariate methods in rehabilitation

Dimiter Dimitrov, Phillip D. Rumrill

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


The complexity of relationships between variables in a variety of rehabilitation settings can be appropriately addressed by the use of multivariate methods of statistical analysis. The purpose of this article is to describe (a) some basic concepts and principles of multivariate methods as well as (b) common misconceptions in the application of such methods. Specifically, the authors focus on the use of multivariate analysis of variance (MANOVA) in rehabilitation research and some pitfalls that rehabilitation researchers face when choosing between MANOVA for a set of outcome variables versus separate analyses of variance (ANOVAs) for each outcome variable. Examples of the use of MANOVA in rehabilitation research, as well as references to other multivariate methods, are also provided.

Original languageEnglish
Pages (from-to)205-212
Number of pages8
Issue number2
StatePublished - 2005


  • Multivariate methods
  • Research design
  • Statistics

ASJC Scopus subject areas

  • Rehabilitation
  • Public Health, Environmental and Occupational Health


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