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Accuracy of Automatic Processing of Speech-Language Pathologist and Child Talk during School-Based Therapy Sessions
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Leydi Johana Chaparro-Moreno; Hugo Gonzalez Villasanti; Laura M. Justice; Jing Sun; Mary Beth Schmitt – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines the accuracy of Interaction Detection in Early Childhood Settings (IDEAS), a program that automatically transcribes audio files and estimates linguistic units relevant to speech-language therapy, including part-of-speech units that represent features of language complexity, such as adjectives and coordinating…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Children
Group Size: An Active Ingredient of School-Based Language Therapy
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Carrie Hutchins; Mary Beth Schmitt – Language, Speech, and Hearing Services in Schools, 2024
Purpose: This study explored the relation between therapy group size and language outcomes for children receiving school-based language therapy through an implementation science lens. Method: Data for the current study were gathered as part of the Speech-Language Therapy Experiences in Public Schools study. Participants included 273…
Descriptors: Elementary School Students, Kindergarten, Grade 1, Grade 2
Dimensionality of Speech-Language Pathologists' Child-Directed Talk during School-Based Therapy with Primary-Grade Students
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Jing Sun; Laura M. Justice; Ye Shen; Hui Jiang; Hugo Gonzalez Villasanti; Mary Beth Schmitt – Grantee Submission, 2024
Purpose: The purpose of this study was to examine the measurement structure of the linguistic features of speech-language pathologists' (SLPs) talk during business-as-usual therapy sessions in the public schools, and to test the longitudinal stability of a theorized dimensional structure consisting of quantity, grammatical complexity, and lexical…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Longitudinal Studies