Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models

James Edward Osler II*
North Carolina Central University, USA.
Periodicity:May - July'2015
DOI : https://doi.org/10.26634/jic.3.3.3578

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 Bayesian statistical analyses. This research adds to the publication entitled, “Introducing Tri–Factor Analysis: A Model and Statistical Test of Performance, Efficacy, and Content for Electronics and Digital Learning Ecosystems” published in i-manager’s Journal on Electronics Engineering. This narrative provides an epistemological rational for the use of “Exploratory Data Analysis” statistical analytical models for the in–depth analysis of the transformative process of qualitative data into quantitative outcomes through the Tri–Squared Test first introduced in i-manager’s Journal on Mathematics, and further detailed in i-manager’s Journal on Educational Technology, Journal on School Educational Technology, and in Journal on Educational Psychology. Tri–Exploratory Data Analysis (Tri–EDA) is a series of graphical and visual statistical models that are a part of the Tri–Squared Calculator © created, designed, and developed by the author to report Tri–Squared Test outcomes and check the validity and reliability of Tri–Squared Test results. This is a novel approach to advanced statistical Tri–Squared reporting, adds considerable merit and value to the mixed methods approach of the trichotomous research design (that intrinsically involves the holistic combination and comparison of qualitative and quantitative data outcomes).

Keywords

Analysis, Engineering, Instrument, Investigation, Mathematical Models, Outcomes, Research, Statistics, Trichotomy, Tri–Coordinate Model, Tri–Squared Calculator ©, Tri–Squared Test, Variables, Visual Graphics

How to Cite this Article?

Osler II, J.E. (2015). Trichotomous Exploratory Data Analysis [Tri–Eda]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models. i-manager’s Journal on Instrumentation and Control Engineering, 3(3), 11-20. https://doi.org/10.26634/jic.3.3.3578

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