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Semantic feature effects on SFA treatment outcomes (Evans et al., 2020) ...
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Abstract:
Purpose: Semantic feature analysis (SFA) is a naming treatment found to improve naming performance for both treated and semantically related untreated words in aphasia. A crucial treatment component is the requirement that patients generate semantic features of treated items. This article examined the role feature generation plays in treatment response to SFA in several ways: It attempted to replicate preliminary findings from Gravier et al. (2018), which found feature generation predicted treatment-related gains for both trained and untrained words. It examined whether feature diversity or the number of features generated in specific categories differentially affected SFA treatment outcomes. Method: SFA was administered to 44 participants with chronic aphasia daily for 4 weeks. Treatment was administered to multiple lists sequentially in a multiple-baseline design. Participant-generated features were captured during treatment and coded in terms of feature category, total average number of features generated ...
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Keyword:
110904 Neurology and Neuromuscular Diseases; FOS Clinical medicine; Language
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URL: https://asha.figshare.com/articles/Semantic_feature_effects_on_SFA_treatment_outcomes_Evans_et_al_2020_/12462596/1
https://dx.doi.org/10.23641/asha.12462596.v1
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Semantic feature effects on SFA treatment outcomes (Evans et al., 2020) ...
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