Template-Type: ReDIF-Paper 1.0
Author-Name: Groenen, P.J.F.
Author-Name-Last: Groenen
Author-Name-First: Patrick
Author-Person: pgr229
Author-Name: Koning, A.J.
Author-Name-Last: Koning
Author-Name-First: Alex
Title: A new model for visualizing interactions in analysis of variance
Abstract: 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.
Creation-Date: 2004-03-10
File-URL: https://repub.eur.nl/pub/1189/ei200406.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI 2004-06
Handle: RePEc:ems:eureir:1189