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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
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Collins, Gavin; Lundine, Jennifer P.; Kaizar, Eloise – Journal of Speech, Language, and Hearing Research, 2021
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 communication sciences. Using language sample analysis, we demonstrate the utility of these methods in answering specific questions regarding the differences between…
Descriptors: Bayesian Statistics, Mixed Methods Research, Discourse Analysis, Head Injuries