Trying another CAQDAS, MaxQDA

Jul 12 2014 Published by under dissertation, information analysis

CAQDAS: Computer Assisted Qualitative Data Analysis Software (more).

Previously, I'd used NVIVO and I found it to be miserable and horribly expensive (I didn't pay, but I would have to this time). I really did most of my work offline with colored pencils, note cards, etc. I am fully willing to admit that I didn't know how to use it or that maybe I was doing it wrong, but instead of saving me time, it was costing.

I started trying to use it with my dissertation data and ew. It's fine with my interview transcripts, but tweets and blog posts, just yuck. So then I started coding just using Excel and meh.

So back to the drawing board. I read a bunch of reviews of different products on Surrey's pages: , but it's really hard to tell. I also started looking at prices and oh la la!  I was thinking maybe dedoose, despite their earlier issues, but that's like at least $10/month. Not bad until you think you might do this for a while.

After all that MaxQDA - a German product - seemed like a slightly better choice than some. The student license doesn't expire and is for the full product (they have a semester one, but that doesn't make sense for me) - that's probably the biggest selling point.

So far so good. Importing about a thousand blog posts as individual documents was no big deal. Interview transcripts were even quicker. Adding in my codes was super quick and it was super quick to move one when I stuck it in the wrong hierarchy. I think I'll work with this data for a bit before doing the twitter archives - particularly since I don't know how I might sample.

I'm still on the 30-day trial. Not sure if I need to try to start paying for it with a week or so to spare so the verification can be completed. My university doesn't have an expiration date on our IDs. Not sure if my advisor has to send an e-mail or what.

Yeah, there's something for R (of course), but it doesn't have the features. I was still thinking I might do some more machine learning and other tricks with my data using R which is easy now that it's all in spreadsheets.

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