Data transformation in statistical analysis of field trials with changing treatment variance

  • Piepho H
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Abstract

Mixed model packages can be used to analyze designed experiments with
variance structures that allow for heterogeneity of variance between
treatments. Such analyses are useful, when the error structure is
complex. Alternatively, when a simple data transformation is found that
stabilizes the variance, a standard ANOVA can be performed. Such a
simple analysis has several practical advantages, including efficient
use of error degrees of freedom and the facility to produce letter
displays with a constant critical difference when data are balanced. It
is therefore generally worth thoroughly exploring different data
transformations before embarking on a more complex mixed model analysis.

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Authors

  • Hans Peter Piepho

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