JASP 0.14 Tutorial: Dealing with Missing Values (Episode 32)

In this JASP tutorial, I discuss how JASP deals with missing values, including various notation methods and casewise vs. listwise deletion in the even to multiple missing values in your dataset.
The data in this video can be found in the base JASP Data Library.
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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[@user-ds8rh8mf7o]

Do you know how JASP deals with missing data for non-Bayesian methods? I can't see the 'missing values' section under classical ANOVA.

[@AlexanderSwan]

The default for most GLM is listwise (aka casewise) deletion: if a variable has a missing value for one of the variables, the entire case is removed from the analysis.

[@sausan.]

How do you make a sum of variables when there are missing values? It seems that Jasp can't calculate when there are empty cells.

[@AlexanderSwan]

I would then open up the csv and create the sum variable there. Be careful though - those sums aren’t the same as the other ones if there are missing values. It might be better to do a casewise deletion