ArticleJournal of speech, language, and hearing research : JSLHR2019
Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing.
Article in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Exploring the Effectiveness of Technology-Based Interventions in Aphasia Rehabilitation: A Systematic Review.International journal of language & communication disordersPooled it
- Naming practice effects and inconsistencies relate to treatment outcome in people with aphasia.Neuropsychologia · 2025Article
- Response Latencies During Confrontation Picture Naming in Aphasia: Are Proxy Measurements Sufficient?Journal of speech, language, and hearing research : JSLHR · 2024Article
- Picture naming test through the prism of cognitive neuroscience and linguistics: adapting the test for cerebellar tumor survivors-or pouring new wine in old sacks?Frontiers in psychology · 2024Review
- Item Response Theory Modeling of the Verb Naming Test.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Accuracy of Naming Error Profiles Elicited From Adaptive Short Forms of the Philadelphia Naming Test.Journal of speech, language, and hearing research : JSLHR · 2023Article
- ParAlg: A Paraphasia Algorithm for Multinomial Classification of Picture Naming Errors.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Rational Adaptation in Using Conceptual Versus Lexical Information in Adults With Aphasia.Frontiers in psychology · 2021Article
- Empirical Evaluation of Computer-Adaptive Alternate Short Forms for the Assessment of Anomia Severity.Journal of speech, language, and hearing research : JSLHR · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Purpose In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996 ) and a 30-item computer adaptive PNT (PNT-CAT; Fergadiotis, Kellough, & Hula, 2015 ; Hula, Kellough, & Fergadiotis, 2015 ) created using item response theory (IRT) methods. Method The full PNT and the PNT-CAT were administered to 47 participants with aphasia in counterbalanced order. Latent trait-naming ability estimates for the 2 PNT versions were analyzed in a Bayesian framework, and the agreement between them was evaluated using correlation and measures of constant, variable, and total error. We also evaluated the extent to which individual pairwise differences were credibly greater than 0 and whether the IRT measurement model provided an adequate indication of the precision of individual score estimates. Results The agreement between the PNT and the PNT-CAT was strong, as indicated by high correlation ( r = .95, 95% CI [.92, .97]), negligible bias, and low variable and total error. The number of statistically robust pairwise score differences did not credibly exceed the Type I error rate, and the precision of individual score estimates was reasonably well predicted by the IRT model. Discussion The strong agreement between the full PNT and the PNT-CAT suggests that the latter is a suitable measurement of anomia in group studies. The relatively robust estimates of score precision also suggest that the PNT-CAT can be useful for the clinical assessment of anomia in individual cases. Finally, the IRT methods used to construct the PNT-CAT provide a framework for additional development to further reduce measurement error. Supplemental Material https://doi.org/10.23641/asha.8202176.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.