JMAT_V4_N1_RP1
Introducing MULTICOVA: “Multiple Trichotomous Coefficient of Variation Analysis” the Advanced Post Hoc Test of the Tri–Squared Coefficient of Variation
James Osler
Journal on Mathematics
2277-5137
4
1
11
31
Assay, Analysis, Coefficient of Variation, Investigation, Mathematical Model, MULTICOVA, Multiple Trichotomous Coefficient of Variation Analysis, Outcomes, Post Hoc, Research, Static Test, Statistics, Trichotomy, Tri–Squared, Trichotomous Analyte, Trichotomous Measurand, Tri–Squared Test, Trichotomous Target of the Assay, Variables, Variance
This monograph provides an epistemological rational for the novel “Multiple Trichotomous Coefficient of Variation Analysis” statistic represented by the acronym [“MULTICOVA”]. This new statistic is an innovative in–depth way of further investigating a statistically significant post hoc Tri–Squared Test. MULTICOVA is an advanced and detailed statistical procedure for the internal testing of the outcomes of the mixed methods Tri–Squared Test (first introduced in the Journal on Mathematics, and detailed further in the Journal on Educational Technology, Journal on School Educational Technology, and in the Journal on Educational Psychology). MULTICOVA is an advanced statistical procedure; which is designed to measure the “Trichotomous Coefficient of Variation” of inputted and outputted Tri–Squared variables. The Trichotomous Coefficient of Variation is also a normalized measure of a trichotomous probability distribution or trichotomous frequency distribution. This new statistic is an innovative approach to the sequential series of advanced post hoc Tri–Squared Test statistical metrics. Multiple MULTICOVA equations are presented, as well as the entire process of advanced statistical Trichotomous Coefficient of Variation analytics that illustrate how to conduct this particular method of inquiry.
January - March 2015
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