Tri-Center Analysis: Determining Measures of Trichotomous Central Tendency for the Parametric Analysis of Tri-Squared Test Results

Autor/in	Osler, James Edward
Titel	Tri-Center Analysis: Determining Measures of Trichotomous Central Tendency for the Parametric Analysis of Tri-Squared Test Results
Quelle	In: Journal of Educational Technology, 11 (2014) 1, S.22-29 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0973-0559
Schlagwörter	Statistical Analysis; Statistical Significance; Statistical Inference; Inquiry; Mathematical Models; Qualitative Research; Mathematics + Suchen Sie Ihr Suchwort? Statistische Analyse; Inferential statistics; Schließende Statistik; Mathematical model; Mathematisches Modell; Qualitative Forschung; Mathematik
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01