Portland State University. Department of Speech and Hearing Sciences
Term of Graduation
Date of Publication
Master of Science (M.S.) in Speech and Hearing Sciences
Speech and Hearing Sciences
1 online resource (v, 24 pages)
Computer adaptive testing formats, based in item response theory (IRT), are becoming an increasingly popular approach to testing in healthcare because they offer numerous psychometric and practical advantages to assessment when compared to static tests that rely on classical test theory. Fergadiotis and colleagues (2015) have developed computer adaptive versions of the Philadelphia Naming Test (PNT) short-forms, which have demonstrated acceptable precision and standard error of measurement when compared to the static short-forms and original full-length assessment. This study sought to use synthetic data simulations using the catIrt R package (Nydik, 2014) to investigate possible advantages of the use of tailored provisional ability scores at the start of a CAT PNT. Results revealed no significant improvement in the performance of the test when starting at a tailored provisional ability score. These results further guide next steps in developing more precise computer adaptive tests for assessing anomia and additionally demonstrated the advantages of computer simulations in advancing this line of work.
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Tudorache, Emily Kathryn, "Ancillary Data for Refining Computer Adaptive Algorithms for the Assessment of Anomia" (2021). Dissertations and Theses. Paper 5730.