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Multricor [“Multiple Trichotomous Correlation”Analysis]: The Post Hoc Examination and Measurement of Statistically Significant Tri–Squared Tests to Determine the Total and Internal Strength of Relationships between Trichotomous Variables Used For Dynamic Psychometric Circuit Assessment

Volume 4 Issue 1 December - February 2016 

Research Paper

Multricor [“Multiple Trichotomous Correlation”Analysis]: The Post Hoc Examination and Measurement of Statistically Significant Tri–Squared Tests to Determine the Total and Internal Strength of Relationships between Trichotomous Variables Used For Dynamic Psychometric Circuit Assessment

James Edward Osler II*
Faculty Member, Department of Curriculum and Instruction, North Carolina Central University (NCCU) School of Education, USA.
Osler II, J.E. (2016). Multricor [“Multiple Trichotomous Correlation” Analysis]: The Post Hoc Examination and Measurement of Statistically Significant Tri–Squared Tests to Determine the Total and Internal Strength of Relationships between Trichotomous Variables Used For Dynamic Psychometric Circuit Assessment. i-manager’s Journal on Circuits and Systems, 4(1), 1-11. https://doi.org/10.26634/jcir.4.1.6029

Abstract

This monograph provides an epistemological rational for the “Multiple Trichotomous Correlation Analysis (identified by the acronym: “MULTRICOR”) post hoc “Triostatistics” (Osler, 2014) test methodology. This paper is part four of the publication entitled, “Trichotomous Charge States: The Novel Trioinformatics Application of Neuroengineering Neuromathematics Notation to Express and Expound Polyphase Electrical Systems and Tri-State Buffers for Digital Circuit Design” that appeared in the Journal on Circuits and Systems. MULTRICOR is an in-depth [Trichotomous Nomographical Variance] statistical procedure for the internal testing of the transformative process of qualitative data into quantitative outcomes through the Tri-Squared Test first introduced in the Journal on Mathematics, and further detailed in the Journal on Educational Technology, Journal on School Educational Technology, and Journal on Educational Psychology. MULTRICOR is an advanced statistical measure that is designed to check the validity and reliability of a Tri-Squared Test that can be used to further verify digital circuit designs. This is a novel approach to advanced statistical post hoc Tri- Squared data analysis. It adds considerable value to the mixed methods approach of research design that involves the holistic combination and comparison of qualitative and quantitative data outcomes. A sequential MULTRICOR mathematical model is provided that illustrates the entire process of advanced statistical Trichotomous inquiry.

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