A Tri–Squared Analysis to Establish the Need for a Statistical Framework for K–20 Faculty as Academic Leaders
- 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 paper provides an in–depth interchange on an innovative statistical model used in a research study.The Tri–Squared Statistic was the novel statistical methodology used in the study to analyze data and de-termine the validity and reliability of research hypotheses that focus on the need for statistical metrics andmethodologies designed to empower Faculty in K–20 education as dynamically innovative research sci-entists who create instruments to validate a variety of ground–breaking and cutting edge solutions thatthey implement to improve learning. The paper addresses a critical need for innovative research method-ology that conducted a research study aimed at verifying the Tri–Squared Test as the ideal statisticalframework to empower faculty as leaders in academic research from a holistic problem-solving approach.
Additional Information
- Publication
- Journal of Educational Technology, v. 12, n. 4, pp.1-9, Jan-Mar 2016
- Language: English
- Date: 2013