A new model for visualizing interactions in analysis of variance
2004-03-10
Research Paper
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In analysis of variance, there is usually little attention for interpreting the terms of the effects themselves, especially for interaction effects. One of the reasons is that the number of interaction-effect terms increases rapidly with the number of predictor variables and the number of categories. In this paper, we propose a new model, called the interaction decomposition model, that allows to visualize the interactions. We argue that with the help of the visualization, the interaction-effect terms are much easier to interpret. We apply our method to predict holiday spending1 using seven categorical predictor variables.
Automatically Extracted Terms
- interaction
- effect
- children
- holiday
- predictor variables
- model
- category
- predictor
- interaction effects
- variable
- spending
- income
- number
- interaction decomposition model
- holiday spending
- length
- expense
- transport
- accommodation
- interaction effect
