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Showing content with the highest reputation since 12/19/2018 in all areas

  1. 1 point
    Hi everyone, I know the Nvivo is about qualitative analysis. Nevertheless, when using the cluster analysis function, we need to explain the validity of those results. For example, how to show that Pearson coefficient of 0.46 is significant? The p-value logic could be applied here? If it is not possible to know all the parameters to calculate the Pearson coefficient, how to justify the use of Nvivo as a reliable tool? I really need some help with this. Thanks very much!
  2. 1 point
    Hi Heather, Thanks for the answer. Please, I don't know how to calculate manually because the parameters and the approach used are unknown. Is there any way to ensure or qualify the Pearson correlation number provided by NVIVO? For example, what is the N ? What the significance level for one-tailed test? Is there some online tool to get this values using the text files? Thanks.
  3. 1 point
    Hi Bhupesh, Thanks for your reply. (1) When I run a cluster analysis on sets, the diagram shows all the sources in that set (e.g., all interviews)-- the analysis looks the same as selecting all sources -- it does not compare set vs set (e.g., School 1 vs School 2). Am I doing something wrong? (2) Matrix queries have been useful for comparing cases, but I'd hoped there was a way to run a cluster analysis. I guess I could export it to Excel for the cluster analysis. best, Lisa
  4. 1 point
    The two options for cluster analysis appear to be Source and Node. Is it possible to do a cluster analysis for sources that I've grouped using case classification attributes? For example, let's say School 1, School 2, School 3, ... n each have a # of sources (records, interviews, etc.). I made these sources into cases, then assigned the names of schools as case classification attributes (so School 1 is the attribute value for all its sources and so forth). I want to see which schools (= its collection of sources) have similar coding.
  5. 1 point
    As a Trainer, I feel difficult to demonstrate a practical example of cluster analysis. Could you form support create some example of using and reading the output of a cluster analysis. The creation process is quite simple but the interpretation fo results is not that easy. If you do so, make it for the three different kinds of criteria (words similarity, coding similarity and attribute values similarity). Regards, Ernani
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