Mixed Effects Models: A Conceptual Overview Using R

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

Пікірлер: 7

  • @ifeanyionyekachi9800
    @ifeanyionyekachi98004 ай бұрын

    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
    @olearydj2 ай бұрын

    This is one of, if not the best video on the topic here on youtube. Very well done.

  • @janh7633
    @janh7633 Жыл бұрын

    Nice demonstration of testing competing models and of adding random intercepts and random intercepts & slopes

  • @deniecewilliams1981
    @deniecewilliams1981 Жыл бұрын

    This was very well presented and the explanations were easy to follow. Thank you. 😊

  • @charleydublin7304
    @charleydublin7304Ай бұрын

    Excellent presentation, thank you

  • @brianfisher6799
    @brianfisher67994 ай бұрын

    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 ай бұрын

    Quite possible :)