Sponsor
Portland State University. Department of Speech and Hearing Sciences
First Advisor
Gerasimos Fergadiotis
Term of Graduation
Spring 2021
Date of Publication
7-9-2021
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Speech and Hearing Sciences
Department
Speech and Hearing Sciences
Language
English
Subjects
Computer adaptive testing, Anomia, Ability -- Testing, Item response theory, Aphasia
DOI
10.15760/etd.7601
Physical Description
1 online resource (v, 24 pages)
Abstract
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.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/36089
Recommended Citation
Tudorache, Emily Kathryn, "Ancillary Data for Refining Computer Adaptive Algorithms for the Assessment of Anomia" (2021). Dissertations and Theses. Paper 5730.
https://doi.org/10.15760/etd.7601