An Innovative Psychometric Model for Dynamic Educational Testing that is a Sequential Section of the 4a Metric Algorithm as Repetitive Mastery Testing

Abstract

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 Amherstand 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 Metricarchitecture as an infrastructural method of psychometric assessment. It is the pivotal point around which the student isable to demonstrate and illustrate their complete mastery of subject matter at multiple levels. The methodology of theRMT is provided via a set of robust and rigorous calculations, a sequence of precise geometric models, and a series ofsequential computational formulae. The use of the RMT within the 4A Metric Algorithm sequentially provides the rationaland evidence that the Metric is ideal for the verification and validation of meta-competency-based mastery learning.