Lecture 9.1 Introduction to Mixed Effects Models

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  • Опубликовано: 29 сен 2024

Комментарии • 25

  • @Dennis-J316
    @Dennis-J316 4 года назад +17

    Thank you for the nice Introduction, I just wonder you can easily write reversely in the glass :)))

    • @eracube0
      @eracube0 4 года назад +4

      Haha, thats a mirror and he has flipped the video horizontally :)

  • @JohnVandivier
    @JohnVandivier 3 года назад

    The description text appears incorrect. I don't see this video within the course on "Input and Interaction." I think it is within "Designing, Running, and Analyzing Experiments"

  • @morenaszarek7577
    @morenaszarek7577 4 года назад +5

    I hang on his every word but I can not concentrate - he is just too handsome

  • @what2605
    @what2605 3 месяца назад

    why do his letters look just normal insted of being symmetric in our view?
    perhaps they mirrored the video after recording?

  • @jonmopjovi2734
    @jonmopjovi2734 2 года назад +2

    I have to know... are you writing normally but with the video flipped left to right or are you actually trained in writing right to left, backwards and left handed!?!? either way great video!!!

    • @jonmopjovi2734
      @jonmopjovi2734 2 года назад +2

      wait. people wear wedding rings on the left hand. It's flipped. Normality restored.

  • @yaxinliu5951
    @yaxinliu5951 4 года назад +7

    Thank you so much for your lecture! This is the best video of LMM I found online!

  • @lualla679
    @lualla679 3 года назад +1

    Thank you very much for this introduction! Would it be possible to use a repeated measures ANOVA to solve the exercise? In which cases should you use RM ANOVA and in which cases LMM?

  • @fabiankolf5458
    @fabiankolf5458 2 года назад +1

    Thanks for saving my master thesis :D

  • @siddharthmitra2924
    @siddharthmitra2924 4 года назад +1

    How are the number of data points 1440? Can someone please help me with this calculation for the number of data points? :)

    • @marclink0
      @marclink0 3 года назад

      Each subject uses either an iPhone or a Galaxy.
      24 subjects write 20 sentences, repeated in 3 different postures.
      24x20x3 = 1440 data points.

  • @farisayidakwa7024
    @farisayidakwa7024 4 года назад +5

    Thank you excellent lectures really helped my thesis research alot , a leap forward from my confusion

  • @eulenaugen5550
    @eulenaugen5550 3 года назад +1

    Amazing explanation, a real Professor!

  • @syrup111
    @syrup111 7 месяцев назад

    Knowing how to solve mathematical or statistical problems is different from being able to transfer such knowledge. Many, while thinking they are communicating knowledge, only speak to themselves. This video exemplifies that fact.
    Echoing one's thoughts is different from transmitting knowledge!

  • @danielbrennan5942
    @danielbrennan5942 3 года назад

    I was like "how is this guy writing so perfectly backwards onto a board" but then i realized he's writing facing himself and then the video is flipped..

  • @musclesmalone
    @musclesmalone 4 года назад +1

    Great work, extremely well done. Thank you!

  • @annawiemer5929
    @annawiemer5929 Год назад

    Thank you so much. You are great at explaining these models clearly and simply. =)

  • @AnashuaBanerji
    @AnashuaBanerji 3 года назад

    I would like to take the course in Coursera. Could you please correct the description? this takes me to an unrelated course

  • @rolfjohansen5376
    @rolfjohansen5376 3 года назад

    world class university level quality lecture

  • @azharulislam4975
    @azharulislam4975 2 года назад

    Thanks a lot professor for this explanation

  • @chenguangzhang3387
    @chenguangzhang3387 4 года назад

    A question on why 1440 there are data points. Why not 24*2*3*20 = 2880 data points?

    • @goldfido
      @goldfido 4 года назад +2

      in between-subjects setting, you actually divide 24 subjects into 2 groups. For each group, they perform the task with three different postures. So you have 12*3*20=720 data points for each group.

  • @cliffordino
    @cliffordino 4 года назад

    Very clear. Nicely done.