This article explains qualitative data representation in NVivo. Visualisation takes place on attitudes or perceptions of participants on certain issues. With the use of different tools, visualisation takes place on different qualitative items of projects.
Cluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.
Framework matrices helps to summarize results of Sources material. They provide a grid in the form of rows and columns to condense source materials. A framework matrices grid is displayed in the below figure.
Having explained the background to NVivo, including types of data processing, data importing and others, this section will explain briefly about the case project.
Bibliographic Data is an organized collection of references to publish in literature that includes journals, magazine articles, newspaper articles, conference proceedings, reports, government and legal publications.
It is important to establish the reliability and validity of the data before going further into the procedure of using NVivo for qualitative data processing, manipulation, analysis and representation. Scholars have studied and acknowledged the significance of meeting the condition of reliability and validity in data for generating reliable results.
A computer assisted qualitative data analysis software (CAQDAS) like Nvivo enables researchers to process qualitative data systematically by breaking the responses into nodes.