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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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Published in:Journal of Speech, Language & Hearing Research Vol. 64; no. 4; pp. 1256 - 1271
Main Authors: Collins, Gavin, Lundine, Jennifer P., Kaizar, Eloise
Format: Article
Published: American Speech-Language-Hearing Association Apr2021
Subjects:
Comparative grammar
Vocabulary
Adolescence
Brain injuries
Phonological awareness
Narratives
Speech evaluation
Video recording
Online Access:View this record in EBSCOhost