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Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ...
Guo, Ling-Yu; Schneider, Phyllis. - : ASHA journals, 2022
Abstract: Purpose: To determine the diagnostic accuracy of the finite verb morphology composite (FVMC), number of errors per C-unit (Errors/CU), and percent grammatical C-units (PGCUs) in differentiating school-aged children with language impairment (LI) and those with typical language development (TL). Method: Participants were 61 six-year-olds (50 TL, 11 LI) and 67 eight-year-olds (50 TL, 17 LI). Narrative samples were collected using a story-generation format. FVMC, Errors/CU, and PGCUs were computed from the samples. Results: All of the three measures showed acceptable to good diagnostic accuracy at age 6, but only PGCUs showed acceptable diagnostic accuracy at age 8 when sensitivity, specificity, and likelihood ratios were considered. Conclusion: FVMC, Errors/CU, and PGCUs can all be used in combination with other tools to identify school-aged children with LI. However, FVMC and Errors/CU may be an appropriate diagnostic tool up to age 6. PGCUs, in contrast, may be a sensitive tool for identifying children with ...
Keyword: 200408 Linguistic Structures incl. Grammar, Phonology, Lexicon, Semantics; FOS Languages and literature; Language
URL: https://asha.figshare.com/articles/journal_contribution/Diagnostic_Accuracy_of_Grammatical_Measures_Guo_Schneider_2016_/14963787/1
https://dx.doi.org/10.23641/asha.14963787.v1
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Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ...
Guo, Ling-Yu; Schneider, Phyllis. - : ASHA journals, 2022
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3
Clausal density (Guo et al., 2020) ...
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Clausal density (Guo et al., 2020) ...
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5
Psychometric properties of PGU (Guo et al., 2019) ...
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Psychometric properties of PGU (Guo et al., 2019) ...
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