The repeated-measures ANOVA | explained with a simple example

[@jenniferbrantley5931]

This was a great! I was looking for a very direct video to point out the differences in partitioning of the variance between a one way repeated measures anova and a one way anova. This was very helpful.!

[@yn8241]

This was such a helpful video, especially with the example and how you illustrated it! Not the best at statistics but this made me feel like I have a shot at being able to understand it well. Will definitely watch it again! Thank you so much! God bless.🙏💗

[@marifebechaida1067]

You're saving us! Thank you very much for creating such helpful contents.

[@PotatoForce42]

This video is great, especially for a student that lost his teacher half a semester ago

[@Dswilsonangel]

Thanks!

[@tilestats]

Thank you!

[@fallenangel8785]

Underrated channel

[@CanDoSo_org]

Thanks for you great tutorial. How do we do if violate the sphericity?

[@tilestats]

You can use the corresponding nonparametric test: Friedman test

[@CanDoSo_org]

Thanks.@@tilestats

[@JuhiMittal]

Hello, if I have two randomised groups and taking measurements for them at three time points. And am doing unpaired test to compare groups at each time point . Can we also do paired comparison within each group or is that wrong to do?

[@tilestats]

Yes you can, but I would suggest that you look at a mixed two-way ANOVA
ruclips.net/video/NKMFgejt3U0/видео.htmlsi=BWRDThnn37doDggd
or a linear mixed-effect model
ruclips.net/video/4bGG02Jsjyc/видео.htmlsi=oLGyB1X5b9xu3Lxc

[@DaAlkemist]

Hello I wonder if we can apply this test if all the samples have the exact same starting point (at w0) and we want to see if the means of each time points (2w, 4w,6w) are significantly different?

[@tilestats]

Note sure because you will have no variance in w0. Maybe a one-sample t-test, where w0 is the reference value, or a linear-mixed effect model when you have a fixed intercept could work
ruclips.net/video/oI1_SV1Rpfc/видео.html

[@mesiazul8435]

Hi, what if the sampling time measured is different for each person? for example, clinical data i.e. blood test results, are collected on different dates when conducting retrospective research.

[@tilestats]

Then you can instead use a linear mixed effect model:
ruclips.net/video/4bGG02Jsjyc/видео.html
ruclips.net/video/oI1_SV1Rpfc/видео.html

[@luchepilongo460]

How did u get the mean weight of each group?

[@tilestats]

Calculate the mean of the values in each column in the table shown at 2:28.

[@ZozaKa-c5k]

Not understand P_value where come from??

[@13dediciembre2012]

thank you!

[@tilestats]

Thanks!

[@biggest312]

The data in CSV:
Person,Before,After 2 weeks,After 4 weeks
Person 1,102,97,95
Person 2,79,77,75
Person 3,83,77,75
Person 4,92,93,87

[@caviper1]

Thanks.

[@جماليحي-ث8ق]

Inquiry: If I had one group of males and females, and I applied treatment to them and took three measurements
If the conditions for a t-test are present, use a two-sample t-test to test the treatment difference between males and females in each measurement
Secondly, it is possible to use a repeated-measures test to compare the effect of treatment on males in repeated measurements
I repeat this again for females

[@tilestats]

You could do that but a better alternative is to used a mixed two-way ANOVA:
ruclips.net/video/9yIobRrZAyg/видео.html
ruclips.net/video/NKMFgejt3U0/видео.html
so that you also can check if there is an interaction.

[@جماليحي-ث8ق]

@@tilestats how can i check if there is an interaction

[@cafrasinei]

Thanks!

[@883MARDUK]

thank you