The interaction structure analysis (ISA) is proposed as a nonparametric procedure for the evaluation of uni‐ and multivariate analysis of variance models. Main effects and interactions of (independent) treatment variables are replaced by interaction‐types where types are defined as those treatment‐response combinations which occur significantly more often than expected under a null hypothesis (Ho) of no treatment effects. The application of ISA and the typological interpretation of ISA results are illustrated for an ANOVA design from toxicology and for a MANOVA design from psychopharmacology.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty