I’m using maximum likelihood with missing data.
In this case of missing data, is maximum likelihood a form of data substitution?
I’m significantly more familiar with multiple imputation which I would consider a form of data substitution. However, I’m trying to work out if ML would be considered the same or not. Is there a reason why it would not be considered data substitution?