This document discusses qualitative data analysis and how NVivo software can help with the analysis process. It defines qualitative data as non-numerical and typically word-based. It explains that qualitative data can be used to answer what, how, and why questions. The document then outlines some manual coding and analysis steps like developing codes and categories/themes. It details how NVivo allows importing of various file types and performs queries. Benefits of NVivo include replicating manual analysis digitally and handling large data sets faster, while limitations include subjective nature of data and lack of standard processes.

1. N Vivo
By: Madiha Khadim

2. Qualitative Data
• Non-numerical – converse of quantitative data
• Typically word based – but may include image, video, etc.
• Can record attitudes, behaviors, experiences, motivations, etc.
• Descriptive – describing events/opinions etc.
• Explanatory – explaining events/opinions etc.

3. Use Qualitative Data to Answer
What/How/Why Questions
What are the
barriers to using
social media as a
research tool?
How are researchers
using social
media to gather
data?
Why are some
people hesitant to
take part in social
media research?

6. Paper Pencil Transcription

7. How make codes?
• Depends on research question
• Start with large number, then refine over time through
additional analysis and discussion
• End result = 25-30 codes < 6-7 Category < 2 themes

8. N Vivo

10. How can N Vivo help?

11. Analysis of Qualitative Data

12. Qualitative Analysis using N Vivo

13. Import Document
Name documents appropriately
before importing
Text-based data can be imported in text based pdf format
For Microsoft Word documents, apply consistent heading styles
to use auto coding
Multimedia files can be imported in a variety of formats
including: .mp3/4,.jpg edit videos before importing

16. Queries

20. Benefits of N Vivo Software
• N Vivo allows users to replicate all of the abilities of the
‘paper and pen’ system into the software.
• N Vivo runs faster, even as project size increases.
• N Vivo performs better when working with large amounts of
data, for example, large sources and nodes open faster.
• N Vivo 10 for Windows provides functionality for
automatically backing up and recovering your project data.

21. Limitations
Large amount of data
Subjective nature of data
Validity of data
Use triangulation to increase reliability
No standard processes for coding or
extracting themes
Time constraints

22. THANKS