A Nonparametrical Evaluation of Anova and MANOVA Designs Using Interaction Structure Analysis

Mark Stemmler

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)911-925
Number of pages15
JournalBiometrical Journal
Volume36
Issue number8
DOIs
StatePublished - 1994

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'A Nonparametrical Evaluation of Anova and MANOVA Designs Using Interaction Structure Analysis'. Together they form a unique fingerprint.

  • Cite this