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
6:05 But previously you said 5-6 groups is ideal for a variable used as random effect. But if you also say participants are used as random effect, isn't usually 100s of participants in a study? Doesn't that mean hundreds of groups in the random effect variable (participant ID)?
This is one of, if not the best video on the topic here on youtube. Very well done.
absolutely fantastic overview of LMMs! Good balance of demonstrating many aspects of the model, tools, and of course, interpretation
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
Nice demonstration of testing competing models and of adding random intercepts and random intercepts & slopes
This was very well presented and the explanations were easy to follow. Thank you. 😊
Excellent presentation, thank you
Very clear. Thank you.
I wonder, what is the demo tool you use, where you are able so elegantly to edit while doing the demo? :)
6:05 But previously you said 5-6 groups is ideal for a variable used as random effect. But if you also say participants are used as random effect, isn't usually 100s of participants in a study? Doesn't that mean hundreds of groups in the random effect variable (participant ID)?
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.
Quite possible :)