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Article
Computer Adaptive Testing for the Assessment of Anomia Severity
Seminars in Speech and Language
  • Gerasimos Fergadiotis, Portland State University
  • Marianne Casilio, Vanderbilt University
  • William D Hula, University of Pittsburgh
  • Alexander Swiderski, University of Pittsburgh
Document Type
Post-Print
Publication Date
7-14-2021
Subjects
  • Item response theory,
  • Psychometrics
Abstract

Anomia assessment is a fundamental component of clinical practice and research inquiries involving individuals with aphasia, and confrontation naming tasks are among the most commonly used tools for quantifying anomia severity. While currently available confrontation naming tests possess many ideal properties, they are ultimately limited by the overarching psychometric framework they were developed within. Here, we discuss the challenges inherent to confrontation naming tests and present a modern alternative to test development called item response theory (IRT). Key concepts of IRT approaches are reviewed in relation to their relevance to aphasiology, highlighting the ability of IRT to create flexible and efficient tests that yield precise measurements of anomia severity. Empirical evidence from our research group on the application of IRT methods to a commonly used confrontation naming test is discussed, along with future avenues for test development.

Rights

© 2021. Thieme. All rights reserved.

Description

This is the author’s version of a work that was accepted for publication in Seminars in Speech and Language. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Speech and Language (Vol. 42, No. 03, pp. 180-191).

DOI
10.1055/s-0041-1727252
Persistent Identifier
https://archives.pdx.edu/ds/psu/36086
Citation Information
Published as: Fergadiotis, G., Casilio, M., Hula, W. D., & Swiderski, A. (2021, June). Computer adaptive testing for the assessment of anomia severity. In Seminars in Speech and Language (Vol. 42, No. 03, pp. 180-191). Thieme Medical Publishers, Inc..