JASP Tutorial: Learn Stats Module EFFECT SIZES (Mini-Series)

In this JASP video, I discuss a new beta module in JASP called "LEARN STATS". We continue this mini series with an in-depth look at the EFFECT SIZES function! User beware: the module and its functions are in beta, and so they may not work properly!
Effecti Sizes:
Cohen's d
Pearson's correlation (r)
Contingency Coefficient (phi)
Be sure to ask your questions, and drop your comments, suggestions, and feedback in the comment section!
JASP: jasp-stats.org
NOTE: This tutorial uses the new preview/beta build of 0.18. 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.
Socials & Sites: linktr.ee/alexbswan
Discuss this video and others on my Discord channel: / discord

[@RaidellAvello]

Hi Alexander, I follow all your videos because they are very good and instructive, I have told you on another occasion. I see that lately you make more videos for the JASP series. At present, what would be your advice for a novice researcher in the area of Social Sciences. JASP or Jamovi? taking into account the advances of the last versions of both softwares.

[@AlexanderSwan]

For a novice researcher? Jamovi hands down. While JASP has these cool Learn Stats modules, I think Jamovi is the easier one to use overall, from a basic understanding standpoint.

[@RaidellAvello]

​@@AlexanderSwan thank you. By other hand, to go deep, JASP is advancing a lot in the last years. For example, JASP have a solution for inter-rater agreement , jamovi don´t have it.