Educational Technology Assessment: A Model for Analyzing Online Psychometric Tests for Course Evaluations

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: In this chapter a digital assessment and an associated novel mathematical statistical model are providedas online psychometrics designed to evaluate College and University courses. The psychometric evalu-ation tool is a Student Ratings of Instruction [SRI] instrument used at a Historically Black College andUniversity [HBCU] for course evaluation purposes. The research methodology is an a posteriori posthoc investigation that examines the reliability and validity of the items used in the SRI instrument. Thesample under analysis consisted of the responses to 56,451 total items extracted from 7,919 distributedStudent Ratings Instruments delivered online during the 2012 academic year. The post hoc applicationof the novel Tri–Squared Test analysis methodology is used to intricately analyze the results of an earlierstudy on SRIs that yielded strong construct validity from Cronbach’s Alpha Reliability Model, Goodman& Kruskal’s Lambda, and Principal Component Factor Analysis with Varimax Rotation.

Additional Information

Publication
Handbook of Research on Educational Technology Integration and Active Learning
Language: English
Date: 2015

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