![]() ![]() The words contained in the selected sources or nodes are compared. The sources or nodes in a cluster analysis diagram, can be clustered by word similarity, coding similarity or attribute value similarity. Top of Page Cluster by word, coding or attribute value similarity Dissimilarity is indicated by red lines-thicker lines indicate stronger dissimilarity. ![]() Similarity is indicated by blue lines-thicker lines indicate stronger similarity. Similarity between items is indicated by connecting lines of varying thickness and color. The diagram can be rotated in three dimensions.Ī horizontal branching diagram where similar items are clustered together on the same branch and different items are further apart.ĭendrograms can be useful for comparing pairs of items.Ī vertical branching diagram where similar items are clustered together on the same branch and different items are further apart.Ī circle where all the items are represented as points on the perimeter. TypeĪ two-dimensional diagram where similar items are clustered together and different items are further apart.Ī three-dimensional diagram where similar items are clustered together and different items are further apart. You can select from a gallery of cluster analysis diagrams-experiment with the diagram types to find the one that best fits the project items you are exploring. When you create a cluster analysis diagram, by default it is displayed as a horizontal dendrogram. Top of Page Types of cluster analysis diagrams The Summary tab displays the similarity index values used to generate the diagram.ġ Items compared-each possible pair of selected items is listed as a row in the table.Ģ Similarity Index-displays a value that indicates the degree of similarity for each pair of items based on the similarity metric selected. Items with a high similarity index (maximum=1) indicate a strong similarity and are displayed closer together on the cluster analysis diagram. The Diagram tab displays the visual representation of your data. When you create a cluster analysis diagram in NVivo, it displays in Detail View with two tabs: The other three documents are shown further apart which indicates that they are dissimilar. In the image below, the cluster of three documents indicates a close similarity. The demographic spread of your survey respondents based on attribute value. The similarities and differences across your nodes-for example, how similar is the coding at rising sea levels, flood control, soil erosion, and land reclamation? The similarities and differences across your sources-for example, how similar are the submissions from the various community members? You can use cluster analysis diagrams to visualize: Sources or nodes in the cluster analysis diagram that appear close together are more similar than those that are far apart. Cluster analysis diagrams provide a graphical representation of sources or nodes to make it easy to see similarities and differences. Cluster by word, coding or attribute value similarityĬluster analysis is an exploratory technique that you can use to visualize patterns in your project by grouping sources or nodes that share similar words, similar attribute values, or are coded similarly by nodes. ![]()
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