Vol.11 No.1
Year : 2014
Issue : Apr-Jun
Title : Tri–Center Analysis: Determining Measures of Trichotomous Central Tendency for the Parametric Analysis of Tri–Squared Test Results
Author Name : James E. Osler II
Synopsis :
This monograph provides an epistemological rational for the design of a novel post hoc statistical measure called “Tri–Center Analysis”. This new statistic is designed to analyze the post hoc outcomes of the Tri–Squared Test. In Tri–Center Analysis trichotomous parametric inferential parametric statistical measures are calculated from statistically significant Tri–Squared Test data. The Tri–Squared Test was first introduced in i-manager’s Journal on Mathematics as a qualitative to quantitative transformative mixed methods data analysis procedure. Tri–Center Analysis is an advanced statistical post hoc holomorphic that rigorously examines trichotomous investigative inquiry outcomes as in–depth parametric relations.
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