Qualitative Data Analysis with NVivo
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Qualitative Data Analysis with NVivo Online
In this introductory course, we will look at some basic NVivo features, including
- How to start a new project and import and organize data
- How to encode and enrich data
- How to probe and make sense of your data
- How to present data.
After taking the course, you should be able to start engaging with the software in a both purposeful and meaningful way.
Qualitative research is a time-consuming exercise that requires strict methodological discipline and transparency on the part of the researcher at every step, in order to ensure scientific rigor and reliability.
There are no real shortcuts, but with NVivo, you can harness the process and achieve the necessary consistency and robustness in your analysis. The software can help you organize and make sense of most types of unstructured and semi-structured data, whether of your own making (interviews, surveys, etc.) or harvested from online platforms such as Twitter, Facebook, or YouTube.
Bonus information
Did you know that NVivo does not require you to transcribe all your interviews? The software is more than happy to work with the audio or video recordings directly.
If you do decide to transcribe, however, CBS Library provides access to a couple of auto-transcription services that can help you speed up the process.
Preparations
Before attending the course, please make sure to download NVivo. Simply send an e-mail from your CBS e-mail account to nvivo@cbs.dk with the subject "NVivo license request". This will trigger an e-mail with relevant download details as well as a license key.
Important
You do not need to sign in after applying the license key.
Please note, that this course may be recorded. For further information, please consult the CBS privacy policy.
- Date:
- Wednesday 4 September 2024
- Time:
- 14:30 - 17:00
- Time Zone:
- Central European Time (change)
- Location:
- Online
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Qualitative and quantitative tools