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.
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.
Ariel Linden & Paul R. Yarnold
Linden Consulting Group, LLC & Optimal Data Analysis, LLC
In 1997, Australia implemented a gun buyback program that reduced the stock of firearms by around one-fifth, and nearly halved the number of gun-owning households. Leigh and Neill evaluated if the reduction in firearms availability affected homicide and suicide rates, and reported that the buyback led to a drop in the firearm suicide rates of almost 80%, with no significant effect on non-firearm death rates. In this paper we re-evaluate the suicide rate data to assess whether any directionally-correct structural breaks in the time series could be identified prior to the buy-back program. Such a change in the time series prior to the intervention may confuse causal interpretation of the actual intervention.
Paul R. Yarnold
Optimal Data Analysis, LLC
ANOVA with two between-groups factors is used to compare an ordered attribute (score) between four independent categories of class variable “A”, and three independent categories of class variable “B”. The novometric multiple regression analogue is demonstrated.
Paul R. Yarnold
Optimal Data Analysis, LLC
An integer attribute (dependent) variable is compared between four categories of a class (independent) variable using ANOVA with one between-groups factor, as well as novometric analogues to ANOVA (to predict class status) and to multiple regression (to predict score).
Paul R. Yarnold
Optimal Data Analysis, LLC
This note reviews creation and use of staging tables for CTA models.
Paul R. Yarnold
Optimal Data Analysis, LLC
The Friedman test, ODA, and novometric statistical analysis conducted via ODA, are used to compare ten expert violinists’ independent, blind evaluations of three different violins, each rated using 10-point scales.
