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When the data present lack of information (gaps), i.e., are not complete. Hence, it is important to consider this feature when performing an analysis or test.
1
vote
0
answers
18
views
How to deal with MNAR data based on failures in a trial?
Background
I have a dataset in which participants had to perform a certain task within a time frame. The outcome of this task is not binary, but there was a criterion that should be reached within the …
3
votes
1
answer
795
views
Inclusion of a NA category in inter-rater agreement calculation
I have a dataset in which the behaviour of $n = 6$ subjects have been rated by $k = 84$ raters on an ordinal scale with 5 ordinal categories. The distances between the ordinal categories are not equal …