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

Educational Technology Assessment: A Model for Analyzing Online Psychometric Tests for Course Evaluations
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Author(s): James Edward Osler II (North Carolina Central University, USA)and Mahmud A. Mansaray (North Carolina Central University, USA)
Copyright: 2015
Pages: 32
Source title: Handbook of Research on Educational Technology Integration and Active Learning
Source Author(s)/Editor(s): Jared Keengwe (University of North Dakota, USA)
DOI: 10.4018/978-1-4666-8363-1.ch011

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Abstract

In this chapter a digital assessment and an associated novel mathematical statistical model are provided as online psychometrics designed to evaluate College and University courses. The psychometric evaluation tool is a Student Ratings of Instruction [SRI] instrument used at a Historically Black College and University [HBCU] for course evaluation purposes. The research methodology is an a posteriori post hoc investigation that examines the reliability and validity of the items used in the SRI instrument. The sample under analysis consisted of the responses to 56,451 total items extracted from 7,919 distributed Student Ratings Instruments delivered online during the 2012 academic year. The post hoc application of the novel Tri–Squared Test analysis methodology is used to intricately analyze the results of an earlier study 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.

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