This workshop serves as an introduction to NVivo and is ideal for any level of student using NVivo for the first time. This interactive workshop will cover all the core features of NVivo including adding sources, coding data, managing nodes and classifications.

This is a theoretical workshop and due to the time restriction participants will use sample data.

By the end of NVivo A (Monday's session) you will be able to:​

• Use SAGE Research Methods to research different approaches to qualitative analysis
• Add data into NVivo (documents, photographs, interview transcripts, videos, audio, etc.)
• Manually code your data (assign pieces of text to a theme or other code/case)
• Assign your data to a classification (e.g. 'interview' 'photograph' 'journal article')
• Use case nodes (assign information about participants to what they say e.g. gender, workplace, nationality etc) 

By the end of NVivo B (Tuesday's session):

• Use NCapture (Copying web pages or social media posts and adding them as data in NVivo) 
• Import data from other sources (EndNote, OneNote, Evernote, Survey Monkey etc.)
• More on coding techniques (Using spread, range and contextual coding)
• Use annotations and memos
• Framework matrices (Cross-tabulating qualitative data)

By the end of NVivo C (Wednesday's session) you will be able to:

• Query your data using:
  • Text search query
  • Word frequency query
  • Coding query
  • Matrix coding query (cross-tabulation of quantitative data)
  • Coding comparison 
  • Compound query (text + coding)
• Use the advanced filter dialogue

By the end of NVivo D (Thursday's session) you will be able to:

• Establish relationships between items in an NVivo project (e.g. people, organisaitons, geographical areas)
• Modeling your data (Making visualisations to communicate your analysis) 
• Use exploration tools (chart/cluster/tree)
• Use in-built reports

Each session is 2 hours long and where room booking allows, the trainer will be available to answer questions for an additional 30 minutes

This workshop is run by a Skills Team Adviser