Paul R. Yarnold
Optimal Data Analysis, LLC
Several examples used to illustrate generalized linear interactive modeling violate crucial assumptions underlying chi-square, advocate arbitrary parsing of attributes, and conduct statistically unmotivated agglomeration of class categories. Violating assumptions call the validity of the estimated effect and associated Type I error rate into question, and arbitrary parsing and agglomerating procedures can reduce model classification accuracy at best, and mask effects that exist or identify paradoxical effects at worst.
odajournal.com 