TRICHOTOMOUS EXPLORATORY DATA ANALYSIS [TRI–EDA]: A POST HOC VISUAL STATISTICAL CUMULATIVE DATA ANALYSIS INSTRUMENT DESIGNED TO PRESENT THE OUTCOMES OF TRICHOTOMOUS INVESTIGATIVE MODELS

NCCU Author/Contributor (non-NCCU co-authors, if there are any, appear on document)
James Osler, Professor (Creator)
Institution
North Carolina Central University (NCCU )
Web Site: www.nccu.edu/academics/library/

Abstract: This paper presents an innovative digital instrument, that uses the novel “Trichotomous Exploratory Data Analysis” [or“Tri–EDA”] as an alternative or supportive research model for traditional confirmatory and probability-based Bayesianstatistical analyses. This research adds to the publication entitled, “Introducing Tri–Factor Analysis: A Model and StatisticalTest of Performance, Efficacy, and Content for Electronics and Digital Learning Ecosystems” published in i-manager’sJournal on Electronics Engineering. This narrative provides an epistemological rational for the use of “Exploratory DataAnalysis” statistical analytical models for the in–depth analysis of the transformative process of qualitative data intoquantitative outcomes through the Tri–Squared Test first introduced in i-manager’s Journal on Mathematics, and furtherdetailed in i-manager’s Journal on Educational Technology, Journal on School Educational Technology, and in Journalon Educational Psychology. Tri–Exploratory Data Analysis (Tri–EDA) is a series of graphical and visual statistical models thatare a part of the Tri–Squared Calculator © created, designed, and developed by the author to report Tri–Squared Testoutcomes and check the validity and reliability of Tri–Squared Test results. This is a novel approach to advanced statisticalTri–Squared reporting, adds considerable merit and value to the mixed methods approach of the trichotomousresearch design (that intrinsically involves the holistic combination and comparison of qualitative and quantitative dataoutcomes).

Additional Information

Publication
i-manager’s Journal on Instrumentation & Control Engineering, Vol. 3, No. 2
Language: English
Date: 2015

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