An Introduction to Bayesian Multilevel Models Using brms: A Case Study of Gender Effects on Vowel Variability in Standard Indonesian.

Purpose: Bayesian multilevel models are increasingly used to overcome the limitations of frequentist approaches in the analysis of complex structured data. This tutorial introduces Bayesian multilevel modeling for the specific analysis of speech data, using the brms package developed in R. Method: I...

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Bibliographic Details

Published in:	Journal of Speech, Language & Hearing Research Vol. 62; no. 5; pp. 1225 - 1243
Main Authors:	Nalborczyk, Ladislas, Batailler, Cédric, Loevenbruck, Hélène, Vilain, Anne, Bürkner, Paul-Christian
Format:	Article
Published:	American Speech-Language-Hearing Association May2019
Subjects:	Education Speech Immunomodulators Multilevel models Bayesian analysis Vowels Indonesian language Data analysis
Online Access:	View this record in EBSCOhost