BIOTRICHOTOMY: THE NEUROSCIENTIFIC AND NEUROBIOLOGICAL SYSTEMOLOGY, EPISTEMOLOGY, AND METHODOLOGY OF THE TRI–SQUARED TEST AND TRI–CENTER ANALYSIS IN BIOSTATISTICS
- 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 monograph provides a neuroscience–based systemological, epistemological, and methodological rational for thedesign of an advanced and novel parametric statistical analytics designed for the biological sciences referred to as“Biotrichotomy”. The aim of this new arena of statistics is to provide dual metrics designed to analyze the Pre and the PostHoc outcomes of biological phenomena. The data analysis methodology of “Biotrichotomy” as “Biotrichotometrics” usesthe unique instrumentation of the qualitative to quantitative “Tri–Squared Test”and its associated Post Hoc statistic“Tri–Center Analysis” as in–depth data analytic psychometrics. Using these two tools together the researcher has aseamless longitudinal research methodology. Access through these procedures also allows the use of the traditionalparametric statistical measures of central tendency within the trichotomous research design framework. In terms of posthoc metrics, Tri–Center Analysis involves the computation of normal distribution parametric measures to examine thevalues of an independent statistically significant Tri–Squared Test. Both systems of statistical analysis were initiallyintroduced in the i-manager’s Journal on Mathematics and i-manager’s Journal of Educational Technologyrespectively, and the result of this paper illustrates their utility, usability, and viability.
Additional Information
- Publication
- i-manager’s Journal on Educational Psychology, Vol. 9, No. 2, August - October 2015
- Language: English
- Date: 2015
- Keywords
- Acrophase, Antimode, Batiphase, Biostatistics, Biotrichotomy, Biotrichotometrics, Categorical, Cognition,
Gaussian Curve, Investigation, Mathematical Model, Mean, Median, Mode, Normal Curve, Normal Distribution,
Neurobiology, Neuroscience, Outcomes, Post Hoc, Research, Results, Systemology, Trichotomous, Trichotomous
Calculations, Tri–Squared, Tri–Squared Test, Statistics, and Variables.