The Trichotomous–Cubed Test [Tri3]: An Advanced Statistical Data Analysis Methodology for Tri–Coordinate Meta–Analysis Using the Tri–Squared Test

James Edward Osler II*
Associate Professor, Department of Curriculum and Instruction, North Carolina Central University, USA.
Periodicity:January - March'2016


This monograph provides an epistemological rational for the design of an advanced and novel post hoc parametric statistic and meta-analysis metric. “Trichotomous-Cubed Tri-Coordinate Meta-Analysis (“Tri-Cubed Test” also “Tri-Cubed” or  Tri3 ”) is an advanced, highly precise research methodology for the accurate in-depth analysis of the existing reported data on a specifically identified criterion. The Tri-Cubed Test integrates and extends the Tri-Squared Test in a Tri- Coordinate [x, y, and z] Tri-Squared Meta-Analysis model and methodology. It is a statistic that involves a variety of robust and rigorous calculations, a precise isometric model, and a series of sequential and detailed computations to provide further insight on the inner workings of the reported statistically significant data. It actively makes use of Tri-Squared Meta- Analysis first presented in the i-managers Journal on Educational Technology and the Tri-Squared Test that was first introduced in the i-managers Journal on Mathematics.


Isometric Cuboid, Meta-Analysis, Morphological Analysis, Outcomes, Research, Results, Statistics, Tri-Cubed Test, Trichotomous, Trichotomous Algorithmic Variable, Trichotomous Categorical Variable, Trichotomous Outcome Variable, Tri-Squared, Tri-Squared Meta-Analysis, Tri-Squared Test.

How to Cite this Article?

Osler, J. E., II. (2016). The Trichotomous–Cubed Test [Tri3]: An Advanced Statistical Data Analysis Methodology for Tri–Coordinate Meta–Analysis Using the Tri–Squared Test. i-manager’s Journal on Mathematics, 5(1), 6-19.


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