JPSY_V10_N4_RP3 James Edward Osler II Journal on Educational Psychology 2230–7141 10 4 19 28 4A Metric Algorithm , Assessment, Combination Equation, Competency-Based Learning, Course Management System, Course Shell, Learning Management System, Mastery Learning, Mastery Testing, Meta-Competency Based Learning Model, Psychometrics, Rectangular Function, Repetitive Mastery Test, Response Contingencies, Verification & Validation This monograph provides an epistemological rational for the innovative and novel use of repetitive psychometrics in the “4A Metric Algorithm” first introduced in the 2016 Journal of Educational Technology. It is grounded in the seminal work on “Mastery Testing” conducted by pioneering researcher John A. Emrick while at the University of Massachusetts at Amherst and detailed in his groundbreaking article entitled, “An Evaluation Model for Mastery Testing” published in the NCME (National Council on Measurement in Education) Journal of Educational Measurement. The 4A Metric Algorithm© Repetitive Mastery Test (4A [RMT] or simply “[RMT]”) is an innovative testing methodology that is embedded in the 4A Metric architecture as an infrastructural method of psychometric assessment. It is the pivotal point around which the student is able to demonstrate and illustrate their complete mastery of subject matter at multiple levels. The methodology of the RMT is provided via a set of robust and rigorous calculations, a sequence of precise geometric models, and a series of sequential computational formulae. The use of the RMT within the 4A Metric Algorithm sequentially provides the rational and evidence that the Metric is ideal for the verification and validation of meta-competency-based mastery learning. February - April 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Archives.aspx?JournalIssueId=13457