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Hi everyone, Our project involves qualitative coding of 6 open-ended questions at the end of a long survey of quantitative fields. There are >200 columns of quantitative data in the spreadsheet that we want to keep for attributes (e.g. demographic info) and to crosstab by later on in matrices. There are hundreds of observations in this dataset, which was imported from an Excel spreadsheet. Trying to code the open-response fields in this large spreadsheet is very laggy and we're looking for better solutions. Would it be possible to keep the quantitative attributes in a separate imported file from the coded fields and merge the sources by a linking ID number after the coding is done? Or, I know it's possible to have each observation as its own source and use the spreadsheet as a classification table not to be coded - but then would each of the hundreds of sources/observations have to be manually linked to each row in the classification table? If so, that also sounds too time-intensive to be feasible. Are there any workarounds that you know of? What would your recommendations be? Thanks in advance!
In comparative analysis having these displayed is very handy, but it really slows NVivo. Possibly unsolvable!
Hello Since the last update to N10 the performance has been awful at best whenever attempting to run a query or anything more complex than standard tasks it opens a pop-up window and I have to wait minutes for the menu and selections to appear and it does this repeatedly or crashes the program. I've checked my computer's resources during these attempts and both my CPU and RAM are below 30% usage so I've no idea on what is wrong with this program (aside from poor design). Would appreciate a fix for this, it's extremely difficult to work under the conditions of this program. Thanks!