Obtaining LOO p in Analysis Involving Three or More Class Categories

Paul R. Yarnold

Optimal Data Analysis, LLC

For class variables with two categories, ODA and MegaODA software employ Fisher’s one-tailed exact test to assess p associated with LOO classification performance. For class variables having three or more categories, LOO p is not provided. This article discusses how to use ODA and MegaODA software to obtain LOO p in this situation.

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ANOVA with Three Between-Groups Factors vs. Novometric Analysis

Paul R. Yarnold

Optimal Data Analysis, LLC

ANOVA with three between-groups factors is used to compare an ordered attribute (score) between four independent categories of class variable “A”, three independent categories of class variable “B”, and two independent categories of class variable “C”. The novometric multiple regression analogue is demonstrated.

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