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Found 5 results

  1. I am not sure how interpret the cluster analysis of a word frequency query, specifically the relationships depicted in a horizontal dendrogram. The help file says: The Cluster Analysis tab displays up to 100 words as a horizontal dendrogram, where words that co-occur are clustered together. I am not sure what "co-occur" means.
  2. Hey guys! I'm relatively new to NVIVO and I'm trying to do a cluster analysis to show interconnected some nodes are. I have 53 nodes based on expert interview data (characterizing barriers to electric vehicles), and I'm trying to show that there's four main barriers that relatively linked to each other. I created a cluster analysis, see attached. The problem is that all the nodes seem to be of the same importance because they're the same size. However some nodes have 100's of source material, where as others have only one. Does anyone know if you can change the size of the nod
  3. 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.
  4. Hello, I ran a cluster analysis on sources of 370 text files, which were clustered by word similarity. The results generated were 65,536 pairs (i.e., 65,536 Pearson correlation coefficient). However, there should have 68,265 comparison pairs (369*370/2). About 2,729, or 4%, pairs were missing, and it would take a long time trying to figure out which pairs were missing. Your suggestions to fix this problem will be greatly appreciated. Thank you, YT Chang
  5. I am writing my doctoral thesis and I´m worried about some methodological issues dealing with the way Nvivo handles cluster analysis. Exactly I wonder how it handles data. I don´t feel prepared to answer questions about this issue to my examination comitee if they would want to know. I don´t mean the basis of cluster analysis that can be found in a statistics manual, but the choices the software make after the user click the "finish" button. I would like to know the technical details about how Nvivo handles cluster analysis in order to be able to interpret results correctly as well as properl
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