Specifying the Random Effect Structure in Linear Mixed Effect Models for Analyzing Psycholinguistic Data

Specifying the Random Effect Structure in Linear Mixed Effect Models for Analyzing Psycholinguistic Data

Linear Mixed Effect Models (LMEM) have become a popular method for analyzing nested experimental data, which are often encountered in psycholinguistics and other fields. This approach allows experimental results to be generalized to the greater population of both subjects and experimental stimuli. I...

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Bibliographic Details
Main Authors: Jungkyu Park, Ramsey Cardwell, Hsiu-Ting Yu
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Institute for Psychology 2020-06-01
Series:Methodology
Subjects:
linear mixed-effect models
psycholinguistic data
random effect structure
model specification
random effects
Online Access:https://meth.psychopen.eu/index.php/meth/article/view/2809

Internet

https://meth.psychopen.eu/index.php/meth/article/view/2809

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