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Mixed Effects Models: A Conceptual Overview Using R 

PsychED
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This is a bit of a seminar on mixed effects/ hierarchical / clustered models. I go over the difference between fixed effects vs random effects and how they work together in a single model. I cover variance components only models, random slopes and random intercepts.
00:00 a bit of background
07:57 the R stuff

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7 авг 2024

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Комментарии : 7   
@ifeanyionyekachi9800
@ifeanyionyekachi9800 4 месяца назад
this is the best video i have ever came across that simplified the link between longitudinal data and mixed effect models. It is really helpful and thanks a lot for this video
@olearydj
@olearydj 2 месяца назад
This is one of, if not the best video on the topic here on youtube. Very well done.
@janh7633
@janh7633 Год назад
Nice demonstration of testing competing models and of adding random intercepts and random intercepts & slopes
@deniecewilliams1981
@deniecewilliams1981 Год назад
This was very well presented and the explanations were easy to follow. Thank you. 😊
@charleydublin7304
@charleydublin7304 2 месяца назад
Excellent presentation, thank you
@brianfisher6799
@brianfisher6799 4 месяца назад
I know this is slightly off topic, but maybe time of day when the sample was taken would account for a portion of that final unexplained variance.
@PsychEDD
@PsychEDD 4 месяца назад
Quite possible :)
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