Campus IIT will be adding NVivo 15 to their regular installation process sometime soon, but current GSU affiliates can get FREE access to NVivo 15 NOW using the steps in Dr. Mandy's help doc.
The AI Assistant is an add-on that’s new with NVivo 15 – you can opt-in to use it (free initially, then via paid subscription) or ignore it if AI is not something you want to pursue in your NVivo-ing.
NOTE: As of 2024.10.17, AI Assistant will NOT process spreadsheet-formatted Datasets (i.e., survey open-ended questions, X/Twitter datasets) and audio (i.e., audio or video files lacking transcripts).
WINDOWS – AI Assistant help page | MAC – AI Assistant help page
There are various strategies for tracking team members’ work in NVivo and comparing coding, including generating interrater/intercoder reliability & agreement measures.
See upcoming workshop listing here: LIVE WORKSHOPS
WINDOWS USERS:
MAC USERS:
^^MAC USERS: See this note re: NVivo and Mac.
Check out this SAGE Research Methods (SRM) resource list on interrater/intercoder reliability.
Check out these Google results for manually calculating interrater reliability -- or try ChatGPT
Use NVivo software for qualitative analysis of textual and audiovisual data sources, including:
NVivo provides the following text content languages that you can set to match the language of your data files:
Chinese (PRC), English (UK), English (US), French (France), German (Germany), Japanese (Japan), Portuguese (Brazil), Spanish (Mexico)
If the language of your files is not available as a text content language, you should set the text content language to 'Other'. See these help pages for setting text content language and stop words: Windows version | Mac version
IMPORTANT: You can still use NVivo for your data analysis even if your data files are a different language from those provided as “text content language” options – but you won’t be able to take advantage of the NVivo features of (1) spell checking and (2) finding words with the same stem or similar meanings when you run Text Search and Word Frequency queries.