Statnote 12: the split-plot analysis of variance

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

In some experimental situations, the factors may not be equivalent to each other and replicates cannot be assigned at random to all treatment combinations. A common case, called a ‘split-plot design’, arises when one factor can be considered to be a major factor and the other a minor factor. Investigators need to be able to distinguish a split-plot design from a fully randomized design as it is a common mistake for researchers to analyse a split-plot design as if it were a fully randomised factorial experiment.
LanguageEnglish
Pages38-39
Number of pages2
Volume2008
Specialist publicationMicrobiologist
Publication statusPublished - Mar 2008

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Analysis of variance
Factors
Experiment

Keywords

  • split-plot design
  • randomized design

Cite this

Hilton, Anthony ; Armstrong, Richard A. / Statnote 12: the split-plot analysis of variance. In: Microbiologist. 2008 ; Vol. 2008. pp. 38-39.
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Hilton, A & Armstrong, RA 2008, 'Statnote 12: the split-plot analysis of variance' Microbiologist, vol. 2008, pp. 38-39.

Statnote 12: the split-plot analysis of variance. / Hilton, Anthony; Armstrong, Richard A.

In: Microbiologist, Vol. 2008, 03.2008, p. 38-39.

Research output: Contribution to specialist publicationArticle

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