Design and analysis of multiple choice feeding preference data

@article{Prince2003DesignAA,
  title={Design and analysis of multiple choice feeding preference data},
  author={Jeffrey Scott Prince and William G. LeBlanc and Silvia Maci{\'a}},
  journal={Oecologia},
  year={2003},
  volume={138},
  pages={1-4}
}
Traditional analyses of feeding experiments that test consumer preference for an array of foods suffer from several defects. We have modified the experimental design to incorporate into a multivariate analysis the variance due to autogenic change in control replicates. Our design allows the multiple foods to be physically paired with their control counterparts. This physical proximity of the multiple food choices in control/experimental pairs ensures that the variance attributable to external… CONTINUE READING
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