Bayesian Generalized Linear Mixed-Model Analysis of Language Samples: Detecting Patterns in Expository and Narrative Discourse of Adolescents With Traumatic Brain Injury.

Purpose: Generalized linear mixed-model (GLMM) and Bayesian methods together provide a framework capable of handling a wide variety of complex data commonly encountered across the communicationsciences. Usinglanguage sample analysis, we demonstrate the utility of these methods in answering specific...

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Detalles Bibliográficos

Publicado en:	Journal of Speech, Language & Hearing Research Vol. 64; no. 4; pp. 1256 - 1271
Autores principales:	Collins, Gavin, Lundine, Jennifer P., Kaizar, Eloise
Formato:	Artículo
Publicado:	American Speech-Language-Hearing Association Apr2021
Materias:	Comparative grammar Vocabulary Adolescence Brain injuries Phonological awareness Narratives Speech evaluation Video recording
Acceso en línea:	Ver este registro en EBSCOhost