Lecture 9.1 Introduction to Mixed Effects Models
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- Опубліковано 14 чер 2024
- This video is part of a Coursera course, Input and Interaction (www.coursera.org/learn/design....
This course is part of the Interaction Design Specialization (www.coursera.org/specializati...) led by Scott Klemmer of UC San Diego. In this specialization, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn techniques for rapidly prototyping and evaluating interfaces; how to use these designs to get feedback from other stakeholders; how to conduct fieldwork unearth design ideas; principles of visual design; and how to perform and analyze experiments.
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!
Amazing explanation, a real Professor!
Thank you so much for your lecture! This is the best video of LMM I found online!
YES! THIS IS AMAZING
Great work, extremely well done. Thank you!
Very clear. Nicely done.
Thanks for saving my master thesis :D
Thank you so much. You are great at explaining these models clearly and simply. =)
Thanks a lot professor for this explanation
Thank you for the nice Introduction, I just wonder you can easily write reversely in the glass :)))
Haha, thats a mirror and he has flipped the video horizontally :)
Thank you excellent lectures really helped my thesis research alot , a leap forward from my confusion
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?
world class university level quality lecture
I hang on his every word but I can not concentrate - he is just too handsome
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"
I would like to take the course in Coursera. Could you please correct the description? this takes me to an unrelated course
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!!!
wait. people wear wedding rings on the left hand. It's flipped. Normality restored.
How are the number of data points 1440? Can someone please help me with this calculation for the number of data points? :)
Each subject uses either an iPhone or a Galaxy.
24 subjects write 20 sentences, repeated in 3 different postures.
24x20x3 = 1440 data points.
A question on why 1440 there are data points. Why not 24*2*3*20 = 2880 data points?
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.
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..