Statnote 30 : The one-way analysis of variance (ANOVA): fixed effects model

Richard Armstrong, Anthony Hilton

Research output: Contribution to specialist publicationArticle

Abstract

In Statnote 9, we described a one-way analysis of variance (ANOVA) ‘random effects’ model in which the objective was to estimate the degree of variation of a particular measurement and to compare different sources of variation in space and time. The illustrative scenario involved the role of computer keyboards in a University communal computer laboratory as a possible source of microbial contamination of the hands. The study estimated the aerobic colony count of ten selected keyboards with samples taken from two keys per keyboard determined at 9am and 5pm. This type of design is often referred to as a ‘nested’ or ‘hierarchical’ design and the ANOVA estimated the degree of variation: (1) between keyboards, (2) between keys within a keyboard, and (3) between sample times within a key. An alternative to this design is a 'fixed effects' model in which the objective is not to measure sources of variation per se but to estimate differences between specific groups or treatments, which are regarded as 'fixed' or discrete effects. This statnote describes two scenarios utilizing this type of analysis: (1) measuring the degree of bacterial contamination on 2p coins collected from three types of business property, viz., a butcher’s shop, a sandwich shop, and a newsagent and (2) the effectiveness of drugs in the treatment of a fungal eye infection.
Original languageEnglish
Pages32-35
Number of pages4
Volume13
Specialist publicationMicrobiologist
Publication statusPublished - Sep 2012

Keywords

  • statistics
  • fixed effects model
  • variance ratio
  • analysis of variance

Fingerprint Dive into the research topics of 'Statnote 30 : The one-way analysis of variance (ANOVA): fixed effects model'. Together they form a unique fingerprint.

Cite this