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I am a phd student at the University of Toronto and I am currently working on my thesis
and analyzing whole-network data.
The problem that I encountered was not missing nodes, but missing
responses. There were 15 missing responses in total from 5832 responses
(8 items X26X26 network size). At this point, I could use one of the
statistical methods (average, etc.) to replace the missing points. As I
conducted a case study that included observations and I know the
respondents and their interactions fairly well, I was wondering what
approach to take. Would it make sense for me to substitute the missing
values with an average (which is probably not correct) or with data
points that I think would be appropriate for the relationship? This is
especially tempting in cases where I know that two people do not talk to
each other (which is also reflected in the responses of the other 7
network items). I am really concerned because taking this route would
mean that I am making my data up?
Thanks for pointers to articles or any advice on this point,
Anabel Quan Haase
University of Toronto
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