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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 …
Dom42's user avatar
  • 115
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 …
Dom42's user avatar
  • 115