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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PsychOpen GOLD/ Leibniz Institute for Psychology
2020-06-01
|
| Series: | Methodology |
| Subjects: | |
| Online Access: | https://meth.psychopen.eu/index.php/meth/article/view/2809 |