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Swiderski, Alexander M.; Quique, Yina M.; Dickey, Michael Walsh; Hula, William D. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This meta-analysis synthesizes published studies using "treatment of underlying forms" (TUF) for sentence-level deficits in people with aphasia (PWA). The study aims were to examine group-level evidence for TUF efficacy, to characterize the effects of treatment-related variables (sentence structural family and complexity;…
Descriptors: Outcomes of Treatment, Aphasia, Sentences, Therapy
Fergadiotis, Gerasimos; Casilio, Marianne; Dickey, Michael Walsh; Steel, Stacey; Nicholson, Hannele; Fleegle, Mikala; Swiderski, Alexander; Hula, William D. – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Item response theory (IRT) is a modern psychometric framework with several advantageous properties as compared with classical test theory. IRT has been successfully used to model performance on anomia tests in individuals with aphasia; however, all efforts to date have focused on noun production accuracy. The purpose of this study is to…
Descriptors: Item Response Theory, Psychometrics, Verbs, Naming
Gravier, Michelle L.; Hula, William D.; Johnson, Jeffrey P.; Autenreith, Alyssa; Dickey, Michael Walsh – Topics in Language Disorders, 2022
Purpose: To evaluate whether levels of cortisol, a stress-related hormone, predicted response to intensive speech-language intervention for individuals with chronic aphasia (IWA). Secondary analyses explored baseline cortisol levels, change following intervention, association between cortisol levels and aphasia severity, self-reported…
Descriptors: Aphasia, Chronic Illness, Physiology, Biochemistry
Evans, William S.; Cavanaugh, Robert; Quique, Yina; Boss, Emily; Starns, Jeffrey J.; Hula, William D. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purpose of this study was to develop and pilot a novel treatment framework called "BEARS" (Balancing Effort, Accuracy, and Response Speed). People with aphasia (PWA) have been shown to maladaptively balance speed and accuracy during language tasks. BEARS is designed to train PWA to balance speed-accuracy trade-offs and…
Descriptors: Accuracy, Semantics, Aphasia, Reaction Time