November 7-December 7 2009

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May 13 2010

These two products are at the point where MAXqda 2007 projects can be converted to NVivo projects and the reverse is supposed to occur too. There is now a MAXqda 10 and 2010 upgrades and a free MAXQDA Reader.

I have Lyle Wiedeman, Academic Computing & Network Support at UCI, checking on getting UC licenses for one or both, and checking at UCOP. Once I hear back, I can check out whether MAXqda has advantages of speed. If so, I will buy it (or start with the one-month test copy).

An important question: I have an archiving system, wiki-like, and archived our past emails privately for my own reference to keep track of the project but its easier for me to search etc if I make it part of our larger intersci wiki which is public. Would you, John, Lisa, Sam and Elizabeth mind if I switched to public format? Doesn't strike me that there is anything private in those emails, just project-informative conversation.

I just finished a series of articles for handbooks and journal on network analysis and other topics, so have been thinking about the Gwembe project again, along with a new project for which I applied for NSF funding. Its taking all the qualitative data from the 100s of Std. Cross-Cultural Sample (186 society) studies an running a causal discovery process among the (qualitative, i.e., ordinal) variables, including network interaction and common history effects. Pretest has been very successful. This causal discovery process (which we are now automating but currently runs in open source R) would apply nicely to higher level coding of the Gwembe texts and can include the network data as well. That doesnt need to start right now but could be done as the project evolves.

Doug White http://intersci.ss.uci.edu/wiki/index.php/DW_home

Dear Doug,

Just a quickie to report that John, Lisa, Sam and I are underway now with
coding the Gwembe Tonga data starting with Mazulu Village.

We have one question for you and that concerns which would be the best
relational data system for our masses of data: NVIVO 8 or MAXQDA. Both
have > the highest recommendations. At the moment John is using NVIVO 8 
but is finding it rather slow in dealing with what little data we have 
coded so far; hence our concern about its ability to cope with 55 years 
of diaries, field notes, questionnaires, demographic data bases, images, 
maps, narratives etc.

Do you have an opinion on this issue or know of someone who knows both
systems who can advise us?

Best wishes,

Ted