Statnote 9: The one-way analysis of variance (random effects model)

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

There is an alternative model of the 1-way ANOVA called the 'random effects' model or ‘nested’ design in which the objective is not to test specific effects but to estimate the degree of variation of a particular measurement and to compare different sources of variation that influence the measurement in space and/or time. The most important statistics from a random effects model are the components of variance which estimate the variance associated with each of the sources of variation influencing a measurement. The nested design is particularly useful in preliminary experiments designed to estimate different sources of variation and in the planning of appropriate sampling strategies.
Original languageEnglish
Pages40-41
Number of pages2
Volume2007
Specialist publicationMicrobiologist
Publication statusPublished - Jun 2007

Keywords

  • 1-way ANOVA
  • random effects model
  • nested design
  • degree of variation
  • sources of variation

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