Jamovi 1.2/1.6 Tutorial: Reliability Analysis (Cronbach's alpha) (Episode 17)

In this Jamovi tutorial, I go through an example for how to do a Reliability Analysis, using Cronbach's alpha, using data from the Learning with Jamovi text. Features include an AMAZING reverse-coding/scaling option, stats for items and the scale, and a heatmap correlation matrix.
Jamovi stats: www.jamovi.org/
NOTE: This tutorial uses the current build of Jamovi, 1.6.7 on MacOS. Version 1.6 contains all the new features to the program as of this recording date. Version 1.2.27 is listed as their most stable build.
Find me on Twitter: / profaswan
Go to my website: swanpsych.com
Twitch streams on psych & related topics: / cogpsychprof

[@nutrindomuitafelicidade3812]

Obrigada, obrigada , obrigada. Por mais canais ASSIM!

[@milliepereira2929]

Excellent Session Sir! God bless you

[@nincognito_]

"I wake under my duvet thinking I am trapped under a normal distribution" epic

[@valeriishablei229]

So, if I want to run a reliability analysis for the whole questionnaire, does it mean that I have to do this for each category, or is there a simpler way? Thanks for your help :)

[@AlexanderSwan]

Just plug them all in! I only did a subset in this tutorial to make it less complicated.

[@valeriishablei229]

@@AlexanderSwan wow, thanks for your fast reply! So it doesn't matter if the subsets measure different things, right? Also, when I add all my data, the numbers on the heatmap become unreadable. Is there any way to change that?

[@AlexanderSwan]

@@valeriishablei229 oh, well, if you have different subsets, I would do each one separately. A little more tedious, but you don't want to things that could be unreliable together being mixed up