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Reliability of short language samples (Wilder & Redmond, 2022) ...
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Abstract:
Purpose: Language sample analysis (LSA) represents an ecologically valid method for diagnosing, identifying goals, and measuring progress in children with developmental language disorder (DLD). LSA is, however, time consuming. The purpose of this study was to determine the length of sample needed to obtain reliable LSA measures for children in kindergarten and first grade with typical language (TL) and DLD using automated analyses from the Systematic Analysis of Language Transcripts software. Method: Play-based conversational language samples collected on kindergarten to first-grade children with TL ( n = 21) and DLD ( n = 21) from a community-based sample were analyzed. Eight LSA measures were calculated from 1-, 3-, 5-, 7-, and 10-min sample cuts and compared to 20-min samples for reliability. Results: Reliability estimates were similar for the TL and DLD groups except for errors and omissions, which showed overall higher levels of reliability in the DLD group and reached acceptable levels at 3 min. ...
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Keyword:
Child language acquisition; Speech pathology
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URL: https://dx.doi.org/10.23641/asha.19529287 https://asha.figshare.com/articles/journal_contribution/Reliability_of_short_language_samples_Wilder_Redmond_2022_/19529287
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Developmental screening using caregiver report: an evaluation of screening tools and childhood developmental delays in South Africa ...
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PROBLEMS OF THE IMPLEMENTATION OF THE BASIC SOCIAL FUNCTIONS OF THE LANGUAGE ...
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PROBLEMS OF THE IMPLEMENTATION OF THE BASIC SOCIAL FUNCTIONS OF THE LANGUAGE ...
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Towards a part-of-speech tagger for Sranan Tongo ...
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Nicolás, C.V.; Viktor, Z.. - : Фонд содействия развитию интернет-медиа, ИТ-образования, человеческого потенциала "Лига интернет-медиа", 2022
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Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
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A comparative study of several parameterizations for speaker recognition ...
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Speaker verification in mismatch training and testing conditions ...
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Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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