Jamovi 1.2/1.6 Tutorial: Randomizer Module (Episode 22)

In this Jamovi tutorial, I go through the Randomizer module/package inside jamovi. This module is an additional one that can be added to the base program. It is designed to help with the cumbersome task of making randomized conditions in either a between-subjects or within-subjects design. Randomization functions include simple randomized, block randomization, and Latin Square designs (up to three variables). You can get your output as a color coded table or in a list. It's phenomenal!
Jamovi stats: www.jamovi.org/
NOTE: This tutorial uses the current build of Jamovi, 1.6.16 on MacOS. Version 1.6 contains all the new features to the program as of this recording date. Version 1.6 is listed as their most stable build.
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[@nanettetredoux7613]

Your voiceover is much too fast for me. English is not my first language but I am fluent, yet I struggle to follow what you are saying even at 0.75 speed.

[@AlexanderSwan]

Sorry to hear that. I have to strike a delicate balance or verbosity and timing. Definitely skip around, play/pause, and use the visuals to help you. This is more a tutorial on how to use the module rather than explanation of the statistical concepts. I only scratch the surface of randomization in this video. Happy to chat further through email or Discord DMs if you have questions!

[@ronnieangelo4555]

Hi. Do you know how to do analysis with them? I know this module is just for making randomized runs but what about if you have the data already? I just wanna learn how to do them.

[@AlexanderSwan]

I'd need more information. Your comment doesn't tell me what your design is or what you want to analyze.

[@ronnieangelo4555]

@@AlexanderSwan let's say I have the data already, i wanna do an anova for them. RCBD and LSD options just gives you randomized assigment of treatmennts and blocks but not really the the analysis options where it gives you p values

[@AlexanderSwan]

@@ronnieangelo4555 oh I see. I have other videos on my channel for how to do ANOVA. Take a look at those

[@ronnieangelo4555]

@@AlexanderSwan but that's just normal one way anova and factorial anova. RCBD anova doesn't include interaction effects.

[@AlexanderSwan]

@@ronnieangelo4555 There isn't an analysis for RCBD or Latin Squares. You have to set up your data to be able to analyze treatment order and then run a factorial ANOVA. You can ignore the interaction effect when you do those. Take a look at this jamovi forum post: forum.jamovi.org/viewtopic.php?t=2019&p=7498