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drenched

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About drenched

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  1. 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!
  2. Hi Heather, This is good to know! Yes, I would love to see such a feature. Thank you for your response and passing on my request.
  3. I'm using NVivo to code open-response fields of a larger survey with many close-ended questions. My NVivo file only has 1 source imported: 1 Excel file with lots of survey respondents as rows and many columns of quant data in addition to a couple columns containing the open-response question qual text. We inductively coded the qual text to quantify topics that came up. Now my ideal would be to append columns to my original survey data set; 1 column per node, with values of 1 assigned in the column if the participant had text coded to that node and values of 0 assigned if their passage was not assigned to that node. Would it be possible to do this, and then export the data set back out to Excel? My hope is that once the raw survey data + node data is exported, I can put it into stats software to do things like run regressions and check the balance of whether the demographics of people who answered "none" or "n/a" to the open-response question varied from those who gave a true answer etc. Sorry if this was asked already - I didn't see it. Thanks in advance!
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