One of the important issues with missing data is the missing data mechanism.
It’s important because it affects how much the missing data bias your results, so you have to take it into account when choosing an approach to deal with the missing data.
The concepts of these mechanisms can be a bit abstract.
And to top it off, two of these mechanisms have confusing names: Missing Completely at Random and Missing at Random.
Missing Completely at Random (MCAR)
Missing Completely at Random is pretty straightforward. What it means is what is [Read more…] about What is the difference between MAR and MCAR missing data?