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Showing results for tags 'word frequency'.
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In our project we uploaded transcripts with both interviewer questions and interviewee responses. How can we run a word frequency analysis that excludes the interviewer's questions? In other words, our transcripts were Word docs in which we created headings, so we had one heading for the interviewer and other headings for the interview subject(s). We imported these transcripts into "internals," thinking we could auto code and identify text to exclude. But we now understand that auto coding is not a function of the Mac version of NVivo. Is there any other way for a Mac user to create accurate word clouds or word frequencies that will exclude the interviewer text?
Hello I've narrowed my project down in terms of participants and created a new project to analyze them, I've created participant nodes, classified them all and coded a hundred other nodes related to the images each participant has done (basically followed the steps I did previously). The issue I'm having now is when I try a word frequency it shows nothing, how is this possible? Looking at my earlier project for comparison the only difference I see is that my main source (a survey) in the new projects shows no nodes or references despite there being many nodes and references done already. When I click on one of the participant nodes, then view attribute values all the answers from their survey are there in proper order (age/sex/country etc.), so what's going wrong here? Why are there no nodes and references counted in my source and why doesn't the word frequency search work? Thanks
jbliss posted a topic in NVivo 10 for Windows and NVivo 9 for WindowsI am new to NVivo, but not to the concept of qualitatively analyzing an individual's responses (I used to be in mar/com and did it the old fashioned way: information+intuition). Now I'm in higher-ed as a research administrator and I'm investigating ways to improve the relevance (appropriateness, applicability) of funding opportunity matches with a researcher's interests and strengths. Standard practice is for the researcher to provide search terms (keywords) to our staff to enter into funding opportunity search systems. But the relevance of the funding opportunity results are often not in sync with the researcher's strengths. So I'm using NVivo to: Collect abstracts/synopses from our researchers on the slice of their professional repertoire relevant to research; Analyze their individual collections (word/phrase frequency query then exploring with text/phrase search queries); and, Compare the outcome to their initially provided search terms. Our anecdotal experience is that the newer/greener the researcher is, the larger the gap exists between their provided search terms (which correspond well with their research "interests") and the words/phrases that derive from their repertoire (which represent their research "strengths"). We need to systematically investigate this hunch before taking action to realign a researcher's search terms. What do you think are the best search terms/words I could use to find similar project(s), related material(s), and/or relevant Q&A on THIS database (QSR's Community Forum)? I've tested many of the terms/words listed in the above paragraph but the results are largely irrelevant (inappropriate, not applicable). Are my terms/words not QA industry standard? Any pointers would be most appreciated!