The Development Of A Semi-Automated Score Reporting Framework Using The Rasch Measurement Model

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Doctor of Philosophy

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Educators and psychologists are often unaware of the application of the IRT models such as the Rasch measurement model and are not motivated to understand IRT because its applications are not made sufficiently explicit. On one hand, the Rasch measurement model provides invariant, linear, and interval level measurement. On other hand, Rasch analysis procedures are time consuming and require training and familiarity with Rasch analysis programs. The purpose of this study was to develop a semi-automated scoring framework to examine data fit to the Rasch measurement model and generate a Rasch-based score report. The semi-automated scoring framework a) assists educators and researchers in conducting Rasch analysis and generating a Rasch-based score for the tests without undertaking complicated Rasch analysis procedures and b) reduces time required to generate a Rasch-based score report. Findings indicated that the scores and analysis from the semi-automated scoring framework are comparable to Winsteps. The semi-automated scoring framework described in this study can later be developed into scoring software or an app and can be extrapolated to partial credit tests or rating scales surveys.