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Found 7 results

  1. HI there, I have a question about word cloud. i'd like my word cloud to show the whole phrase rather than one word. In FAQ, i learnt that you need to edit the word list and add a ~ between two words. For example: lorem~ipsum. https://www.wordclouds.com/faq/ I don't get where and how to edit the "word list"? i edited my source (internal source) and added ~ between the words but that didn't change the word cloud. Can you pls explain, step by step, how to get it done. For Mac pls. thanks so much, cheers, M
  2. Hello, I am trying to run word frequency queries. I have an issue with some words. A simple example (I have others): woman and women appear separately even when I change the grouping options. I'd like to aggregate woamn and women in my query, and then in the word clouds and clusters I get. Is it possible? Thanks much for your help,
  3. hello, I am conducting a content analysis in a document.. The responses to my survey are single words that I can code one by one. However, there are many repeated words. That means that all those repeated words will be categorized in the same code. I wanted to know if there is a way to run a word frequency query and take all those words and put them in the same category instead of going through every single one and having to drag them into the code one by one.
  4. I have a dataset comprising transcripts of interviews with various health professionals (doctors, pharmacists, nurses, etc). I used auto coding to create cases for each speaker, so that the Interviewer is one case and each participant is a separate case. These cases are grouped under a (super?)case based on their role. In other words, there is a (super)case that includes all pharmacists, and sub-cases within for each individual pharmacist. I am trying to run queries, specifically word frequency but potentially any, but only on specific cases. In the instructional video for auto-coding, it said that it would be possible to do this so that the questions themselves wouldn't drive the word frequencies. While I couldn't find a video or specific instructions for how to do this, I intuited that I could choose "Selected Items" instead of "All Sources" and then select only the cases I wanted. I successfully used this approach to limit my queries to specific nodes, but when I tried cases, I ran into trouble. When I ran the query it returned no results. After weeks of trying, I eventually discovered that for one of the (super)cases, which included all the doctors, I could successfully run the query and get results. It worked whether I selected the supercase itself or the sub-cases (each individual doctors). For all other cases, however, the program says that it found no results, which makes no sense for a word frequency search! I cannot figure out why it would only work for these particular cases. I checked the settings for the case folders and they are identical. I also confirmed that the cases actually are indexing the text I intended (specifically what each participant said). And I made sure that all cases in each folder were selected each time. After messing around with settings (in the process turning off the classification and thereby losing all my attributes), I still couldn't get the other cases to work. Then, I imported more transcripts today, and then checked to see if the query would work on the new cases. It did not. In fact, now it isn't working for most of the doctors either. I'm comparing the settings for the cases that work with those that don't, and can't find any difference. Any ideas about what might be going on?
  5. 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?
  6. 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
  7. I 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!
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