Application of the Tri-Square Method in Measuring Changes in Learner Performance: Illustrating Measurement via an Innovative Triostatistics Method and Statistical Procedure
- 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: Measuring the impact of teaching on learning is necessary for discerning the relativeeffectiveness of different teaching models and methods. Frequently this determination isrestricted to hypothesis testing involving the impact of a single variable on a specificperformance measure. The common approach is to compare statistics for a treatment groupversus a control group with a specified confidence level in order to accept or reject thehypothesis. While this approach may be adequate for clinical studies it is not very practical for aclassroom environment where multiple input and output variables are in play. This paperpresents the Tri-Square methodology from “Triostatistics” (Osler, 2014) for studying theinterplay between a set of three input and three output variables within a culture or system tolook for significance. This is a mixed methods model that can accommodate quantitative and/orqualitative variables. The value of mix methods statistical procedures was illustrated in a 2017Academy of Process Education Workshop entitled, “Measuring The Impact of Teaching andLearning” conducted at the 2017 Academy of Process Education Conference. The power of themethod is illustrated using student data from a recent Recovery Course. This paper illustrates the“PE: L2L” experiences, Triostatistics procedures, the PE philosophy, as well as models of the“Taxonomy of Process Education” first presented in the research article entitled, “AMOVA[“Accumulative Manifold Validation Analysis”]: An Advanced Statistical MethodologyDesigned to Measure and Test the Validity, Reliability, and Overall Efficacy of Inquiry–Based Psychometric Instruments”. The authors provided a series of models from the book “InteractiveStatistics Methods” (Osler, 2012) to illustrate the various statistical methods during the PEworkshop. That data is provided in this narrative to further illustrate utility of the Tri–Squaredmethodology.
Additional Information
- Publication
- Language: English
- Date: 2021