·Course Content

• Tips for literature import and organisation
• Exploration and familiarisation tools
• Coding strategies – inductive, deductive approaches; manual, search-based, and generative-AI approaches.
• Organising materials to factual characteristics such as date of publication, country in which study took place etc  to facilitate interrogation.
• Use of writing and visualisation tools to capture reflections on literature over time
• Querying across articles to facilitate synthesizing and outputting

PLEASE NOTE:

Participants applying for a student fee or UGPN discount will need to use their University email address to be eligible.

All staff and students at any of the below institutions are now eligible for the UGPN discount as part of UGPN.    

•             North Carolina (NC) State University: @ncsu.edu 

•            University of Sāo Paulo (USP): @usp.br

•            University of Surrey: @surrey.ac.uk

·

• Introduction to MAXQDA’s components
• Tips for data preparation, transcription, import and organisation
• Data exploration and familiarisation, including AI-assisted summaries and AI-assisted Chat with Documents.
• Coding strategies – inductive, deductive approaches; manual and automated approaches; including AI assisted coding.
• Organising materials to factual characteristics such as socio-demographics (variables) to facilitate interrogation.
• Use of writing and visualisation tools to reflect on data and processes
• Querying and outputting

NVivo is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data.

This  two day course provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data.

PLEASE NOTE:

Participants applying for a student fee or UGPN discount will need to use their University email address to be eligible.

All staff and students at any of the below institutions are now eligible for the UGPN discount as part of UGPN.    

•  North Carolina (NC) State University: @ncsu.edu 

•  University of Sāo Paulo (USP): @usp.br

•  University of Surrey: @surrey.ac.uk

• Know how to move on beyond initial tasks
• Know how to use the software to accomplish analytic tasks
• Know where to access relevant resources to support continued NVivo use