JASP 0.14 Tutorial: Multivariate Analysis of Variance (MANOVA) (Episode 27)
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- Опубликовано: 17 мар 2021
- In this JASP tutorial, I go through the background and interpretation of a Multivariate Analysis of Variance module/dataset. The interface for the module is more spartan than the ANOVA/ANCOVA functions, which streamlines the interpretation and output.
Video of JASP ANOVA: • JASP 0.10.1 Tutorial: ...
JASP: jasp-stats.org
NOTE: This tutorial uses the new preview/beta build of 0.14.1. This build contains slightly more functions/features than the previous builds used for tutorials on this channel, but it is functionally the same for the purposes of this tutorial.
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this really helped me. thanks a lot
Can we do post-hoc in MANOVA???
No, post-hocs need to be performed in other modules with single DVs
how would this work with a repeated measures experiment?
Unfortunately JASP is constrained and can’t do RM with multiple DVs. This is something you’d want to look in R directly. Most of the time, you’re looking at Hierarchical Linear Modeling rather than RM MANOVA
Is there a way to know if between groups
I do not understand your question.
How can I ad covariates so it becomes a manCova analysis?
You currently can't do a MANCOVA in JASP.
Why not do an Independent t test ?
For a Multivariate Analysis of Variance? These two kinds of tests are incompatible, as MANOVA is multiple dependent variables, while a t-test can only handle 1 at a time.
Helpful. Bud, you've got to skip the coffee before you start. You're just talking a bit too fast.
Can never skip coffee, that’s impossible. Try using the player controls to slow me down a bit if I am talking too fast!
I concede re the coffee. Guess I'll have to settle for tech to help me out then...@@AlexanderSwan