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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

James Edward Osler II*

Faculty Member, Department of Curriculum and Instruction, North Carolina Central University (NCCU) School of Education, USA.

Periodicity:December - February'2016
DOI : 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.

Keywords

Analysis, Correlation, Equations, Investigation, Interrelation, Instrument, Mathematical Models, Multiple Trichotomous Correlation, Outcomes, Post Hoc, Research, Static Test, Statistics, Trichotomy, Tri-Squared, Tri-Squared Tests, MULTRICOR, Trivariant, Variables, Variance

How to Cite this Article?

Osler, J. E., II. (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

References

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[3]. Osler, J. E. (2012a). “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 Journal on Mathematics, Vol. 1, No. 3, pp. 23–31.

[4]. Osler, J. E. and Waden, C. (2012b). “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 Journal on School Educational Technology, Vol. 7, No. 3, pp. 11–23.

[5]. Osler, J. E. (2013a). “The psychometrics of educational science: Designing trichotomous inventive investigative instruments for qualitative and quantitative for inquiry”. imanager Journal on Educational Psychology, Vol. 8, No. 3, pp. 15-22.

[6]. Osler, J. E. (2013b). “The psychological efficacy of education as a science through personal, professional, and contextual inquiry of the affective learning domain”. imanager Journal on Educational Psychology, Vol. 6, No. 4, pp. 36-41.

[7]. Osler, J. E. (2013c). “Algorithmic triangulation metrics for innovative data transformation: Defining the application process of the tri-squared test”. i-manager Journal on Mathematics, Vol. 2, No. 2, pp. 10-16.

[8]. Osler, J. E. (2014). “Triostatistics: The application of innovative in-depth advanced post hoc statistical metrics for the assessment and analysis of statistically significant trisquared test outcomes”. Kentucky Journal of Excellence in College Teaching and Learning, Vol. 12, No. 3, pp. 27-39.

[9]. Rust, J. and Golombok, S. (1989). Modern Psychometrics: The Science of Psychological Assessment nd (2 ed.). Florence, KY, US: Taylor & Frances/Routledge.

[10]. Sensagent, (2012). Retrieved, on May 9, 2012 from http://dictionary.sensagent.com/trichotomy+(mathemati cs)/en-en/

[11]. Singh, S. (1997). Fermat’s Enigma: The Epic Quest to Solve the World’s Greatest Mathematical Problem. A. Books a Division of Random House. New York, NY.

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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

Abstract

Keywords

How to Cite this Article?

References

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