title: A robust method for the analysis of experiments with ordered treatment levels.
abstract: A robust approach for the analysis of experiments with ordered treatment levels is presented as an alternative to existing approaches such as the parametric Abelson-Tukey test for monotone alternatives and the nonparametric Terpstra-Jonckheere test. The method integrates the familiar Spearman rank-order correlation with bootstrap routines to provide magnitude of association measures, p values, and confidence intervals for magnitude of association measures. The advantages of this method relative to five alternative approaches are pointed out.
authors.affiliation: Department of Statistics, Western Michigan University, Kalamazoo 49008, USA.
authors.forename: J W
authors.initials: JW
authors.lastname: McKean
authors.forename: J D
authors.initials: JD
authors.lastname: Naranjo
authors.forename: B E
authors.initials: BE
authors.lastname: Huitema
mesh_terms: D000704:Analysis of Variance; D016001:Confidence Intervals; D006801:Humans; D011589:Psychology, Experimental / Q000706:statistics & numerical data*; D011594:Psychometrics; D018709:Statistics, Nonparametric