Lecture 9.1 Introduction to Mixed Effects Models

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  • เผยแพร่เมื่อ 2 ก.พ. 2025

ความคิดเห็น • 25

  • @syrup111
    @syrup111 11 หลายเดือนก่อน

    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!

  • @yaxinliu5951
    @yaxinliu5951 4 ปีที่แล้ว +7

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

    • @wasikhan7741
      @wasikhan7741 3 ปีที่แล้ว

      YES! THIS IS AMAZING

  • @fabiankolf5458
    @fabiankolf5458 2 ปีที่แล้ว +1

    Thanks for saving my master thesis :D

  • @eulenaugen5550
    @eulenaugen5550 3 ปีที่แล้ว +1

    Amazing explanation, a real Professor!

  • @annawiemer5929
    @annawiemer5929 ปีที่แล้ว

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

  • @farisayidakwa7024
    @farisayidakwa7024 5 ปีที่แล้ว +5

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

  • @Dennis-J316
    @Dennis-J316 4 ปีที่แล้ว +17

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

    • @eracube0
      @eracube0 4 ปีที่แล้ว +4

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

  • @azharulislam4975
    @azharulislam4975 2 ปีที่แล้ว

    Thanks a lot professor for this explanation

  • @musclesmalone
    @musclesmalone 4 ปีที่แล้ว +1

    Great work, extremely well done. Thank you!

  • @rolfjohansen5376
    @rolfjohansen5376 4 ปีที่แล้ว

    world class university level quality lecture

  • @cliffordino
    @cliffordino 4 ปีที่แล้ว

    Very clear. Nicely done.

  • @lualla679
    @lualla679 3 ปีที่แล้ว +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?

  • @what2605
    @what2605 7 หลายเดือนก่อน

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

  • @morenaszarek7577
    @morenaszarek7577 4 ปีที่แล้ว +6

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

  • @JohnVandivier
    @JohnVandivier 3 ปีที่แล้ว

    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"

  • @jonmopjovi2734
    @jonmopjovi2734 2 ปีที่แล้ว +3

    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 ปีที่แล้ว +2

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

  • @AnashuaBanerji
    @AnashuaBanerji 3 ปีที่แล้ว

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

  • @siddharthmitra2924
    @siddharthmitra2924 4 ปีที่แล้ว +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 ปีที่แล้ว

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

  • @chenguangzhang3387
    @chenguangzhang3387 4 ปีที่แล้ว

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

    • @goldfido
      @goldfido 4 ปีที่แล้ว +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.

  • @danielbrennan5942
    @danielbrennan5942 3 ปีที่แล้ว

    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..