There are several qualitative data analysis tools such as NVivo and Atlas. The tools allow you to systematize data, analyze content, make connections, spot patterns and correlate information from interview notes, testing results, surveys, or other research data. You can undertake discourse analysis, interpretation, coding, and recursive abstraction to draw conclusions. Here, I will focus on NVivo

NVivo is intended to help users organize and analyze non-numerical or unstructured data. The software allows users to classify, sort and arrange information; examine the relationships in the data; and combine analysis with linking, shaping, searching, and modeling. For more information on NVivo go to the following website:

https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home

 

View the Video and go through the PPT slides to get a better knowledge

i.                 PPT slides: Slides that explain the coding using NVivo 

ii.                Video link: 

iii              video: https://mega.nz/file/58pCnBiS#oeKXZeDg-faL_A7V_VBGQ7uVo1GVt4ghOmNER7UWj0o

How can NVivo Help?


Qualitative Analysis Using NVivo


Limitations

•Complex package that can take time to learn
•Can distance researcher from their data
•Researcher can get caught in ‘coding trap’
•Can identify references to phrases but cannot discern different contexts
•Will not compensate for poor data or weak interpretive skills!


                                             NVIVO Interface 👆

Terminology

•Source – your data
•Documents, audio, video, images, etc.
•Memo – item in a project linked to a document or node
•Node – a code or concept (theme node) or a component of your project e.g. participant or location (case node)
•Can be free or tree
•Classification – applied to a case or participant e.g. person, organisation, etc.
•Attributes – data (demographics) known about a case (participant) recorded separately from the case

Importing Sources


•Name documents appropriately
before importing
•Text-based data can be imported in .doc(x), .rtf, .txt or text-based .pdf format
•For Microsoft Word documents, apply consistent heading styles to use autocoding
•Multimedia files can be imported in a variety of formats including: .mp3/4, .wav, .jp(e)g
•Edit videos before importing

Other Datasets
•Can connect to SurveyMonkey to import survey results
•Import datasets such as Excel spreadsheets or Access database tables
•Cannot edit datasets after importing – format and structure datasets before importing
•Use NCapture to import social media data such as Facebook, Twitter or LinkedIn feeds

Coding in NVivo


Approaches to coding


Creating Nodes
•Use a separate node for each element
•Who, what, how, when
•Each node should encompass one concept only
•Data can be coded at multiple nodes
•Move free nodes into trees where appropriate
•Organise trees based on conceptual relationships
•Not observed or theoretical associations
•E.g. events, strategies, attitudes, beliefs, characteristics
•Each concept should appear in only one tree

Coding Sources

Create nodes to link different sources related to a specific topic or theme.


Case Nodes

Last modified: Tuesday, 26 July 2022, 12:14 PM