Statistics for multiple co-occurring codes

30.06.2017, 14:03

in my research I have coded over 700 segments across 40 interview transcript documents. Each segment can have multiple codes assigned. That is, from my code library of over 20 codes a given segment can have multiple codes (typically around eight codes) representing how the segment represents different aspects of the phenomenon that I am researching.

Is it possible to produce a report with statistics showing the most common combinations of codes across these segments? Ideally, I would like a report that identifies co-occurring groups of codes and showing how frequently this cluster of codes occurs in segments across all documents.

Thanks in advance for any suggestions you may have.

Paul

Version: MAXQDA 12
System: Windows 10
lyonsp4@tcd.ie
 
Posts: 1
Joined: 30.06.2017, 11:19

Re: Statistics for multiple co-occurring codes

11.07.2017, 16:30

Dear Paul,

thanks for asking! "To produce a report with statistics showing the most common combinations of codes across segments" – that sounds pretty much like the feature description of the Code-Relations-Browser. You can learn everything about it here:

http://www.maxqda.com/help-max12/visual ... ping-codes

Or watch our video tutorial here:

http://www.maxqda.com/videos/code-relations-browser#vid

That will produce a nice visualization, which is I think the most effective way of spotting patterns at a glance. If you want to further process your retrieval of overlapping codes, you can also choose "Overlapping" in the "Complex Coding Query"-feature:

http://www.maxqda.com/help-max12/comple ... ions-codes

In general, if you want to quantify your findings but you first need to select which coded segments of your codes should actually be counted, I recommend to assign weights to coded segments to differentiate:

http://www.maxqda.com/help-max12-tag/weight-scores

I hope this helps! In case of further questions, don't hesitate to ask.
Greetings from Berlin,

Andreas
MAXQDA Support Team
Andreas V.
 
Posts: 42
Joined: 13.04.2017, 16:23

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