Header picture by Ken Teegardin
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Trying to make sense of nonsense
In almost all research, data goes missing. Maybe the dog ate your lab book, or you’ve got some office mates with a score to settle. Luckily there is a whole field of missing data research that can come to your rescue. However, in order to use any methods to deal with missing data, you first have to try and figure out what the mechanism behind your data missingness is. And to help you find out what is going on in your data: my first attempt at data visualisation (or more concept visualisation in this case).
To conclude: there are three mechanisms of missingness, with their own catchy names. As you might guess at this point, the missingness mechanism determines how should go about analysing your data. But more on that in another post that’s coming up soon.