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Effects of Phonomotor Therapy and Semantic Feature Analysis on Discourse Production
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2021)
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Assessment of Communication Disorders: New Frontiers and Challenges.
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2021)
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Computer Adaptive Testing for the Assessment of Anomia Severity
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2021)
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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| 6 |
Code-Switching and Language Proficiency in Bilingual Children with and Without Developmental Language Disorder.
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2021)
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| 7 |
Code-Switching and Language Proficiency in Bilingual Children With and Without Developmental Language Disorder
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In: J Speech Lang Hear Res (2021)
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| 8 |
Psychometric Evaluation of Lexical Diversity Indices in Spanish Narrative Samples From Children With and Without Developmental Language Disorder
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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| 9 |
Empirical Evaluation of Computer-Adaptive Alternate Short Forms for the Assessment of Anomia Severity.
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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| 10 |
Predicting Confrontation Naming Item Difficulty
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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Abstract:
Background: Item response theory (IRT; Lord & Novick, 1968) is a psychometric framework that can be used to model the likelihood that an individual will respond correctly to an item. Using archival data (Mirman et al., 2010), Fergadiotis, Kellough, and Hula (2015) estimated difficulty parameters for the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) using the 1-parameter logistic IRT model. Although the use of IRT in test development is advantageous, its reliance on sample sizes exceeding 200 participants make it difficult to implement in aphasiology. Therefore, alternate means of estimating the item difficulty of confrontation naming test items warrant investigation. In a preliminary study aimed at automatic item calibration, Swiderski, Fergadiotis, and Hula (2016) regressed the difficulty parameters from the PNT on word length, age of acquisition (Kuperman, Stadthagen-Gonzalez, & Brysbaert, 2012), lexical frequency as quantified by the Log10CD index (Brysbaert & New, 2009), and naming latency (Székely et al., 2003). Although the model's predictive utility was high, a substantial proportion (20%) of the response time data were missing. Further, only 39% of the picture stimuli from Székely and colleagues (2003) were identical to those on the PNT. Given that the IRT sample size requirements limit traditional calibration approaches in aphasiology and that the initial attempts in predicting IRT difficulty parameters in our pilot study were based on incomplete response time data this study has two specific aims. Aims: To estimate naming latencies for the 175 items on the PNT, and assess the utility of psycholinguistic variables and naming latencies for predicting item difficulty. Methods and Procedures: Using a speeded picture naming task we estimated mean naming latencies for the 175 items of the PNT in 44 cognitively healthy adults. We then re-estimated the model reported by Swiderski et al (2016) with the new naming latency data. Outcomes and Results: The predictor variables described above accounted for a substantial proportion of the variance in the item difficulty parameters (Adj. R2 = .692). Conclusions: In this study we demonstrated that word length, age of acquisition, lexical frequency, and naming latency from neurotypical young adults usefully predict picture naming item difficulty in people with aphasia. These variables are readily available or easily obtained and the regression model reported may be useful for estimating confrontation naming item difficulty without the need for collection of response data from large samples of people with aphasia.
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Keyword:
Speech and Rhetorical Studies
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URL: https://pdxscholar.library.pdx.edu/sphr_fac/41
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| 11 |
Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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| 12 |
Effects of Phonomotor Treatment on Discourse Production
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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| 13 |
Modeling Confrontation Naming and Discourse Informativeness Using Structural Equation Modeling
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In: Speech and Hearing Sciences Faculty Publications and Presentations (2019)
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Computer-adaptive assessment of anomia (Hula et al., 2019) ...
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Computer-adaptive assessment of anomia (Hula et al., 2019) ...
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| 18 |
Empirical Evaluation of Computer-Adaptive Alternate Short Forms for the Assessment of Anomia Severity
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In: J Speech Lang Hear Res (2019)
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