i-manager Publications

Introducing MULTICOVA: “Multiple TrichotomousCoefficient of Variation Analysis” the AdvancedPost Hoc Test of the Tri–SquaredCoefficient of Variation

James Edward Osler II*

North Carolina Central University.

Periodicity:January - March'2015
DOI : https://doi.org/10.26634/jmat.4.1.3234

Abstract

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.

Keywords

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

How to Cite this Article?

Osler, J. E., II. (2015). Introducing MULTICOVA: “Multiple Trichotomous Coefficient of Variation Analysis” the Advanced Post Hoc Test of the Tri–Squared Coefficient of Variation. i-manager’s Journal on Mathematics, 4(1), 11-31. https://doi.org/10.26634/jmat.4.1.3234

References

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[3]. James Edward Osler (2012). Introducing: Trichotomy–Squared – A Novel Mixed Methods Test and Research Procedure Designed to Analyze, Transform, and Compare Qualitative and Quantitative Data for Education Scientists Who are Administrators, Practitioners, Teachers, and Technologists. i-manager's Journal on Mathematics, 1(3) Jul - Sep 2012 Print ISSN 2277-5129, E-ISSN 2277-5137, pp. 23-32.

[4]. James Edward Osler and Carl Waden (2012). Using Innovative Technical Solutions As An Intervention For At Risk Students: A Meta–Cognitive Statistical Analysis To Determine The Impact Of Ninth Grade Freshman Academies, Centers, And Center Models Upon Minority Student Retention And Achievement. i-manager's Journal on School Educational Technology, 8(2), Sep-Nov 2012, Print ISSN: 0973-2217, E-ISSN: 2230-7133, pp. 11-23.

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[6]. James Edward Osler (2013). The Psychological Efficacy Of Education As A Science Through Personal, Professional, And Contextual Inquiry Of The Affective Learning Domain. i-manager's Journal on Educational Psychology. 6(4) Feb-April 2013 Print ISSN 0973-8827, E-ISSN 2230-7141, pp. 36-41.

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Introducing MULTICOVA: “Multiple TrichotomousCoefficient of Variation Analysis” the AdvancedPost Hoc Test of the Tri–SquaredCoefficient of Variation

Abstract

Keywords

How to Cite this Article?

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