NVivo Workshop (22 Jan 2019)

17/01/2019 to 22/01/2019

Co-organised with the Centre for Learning Enhancement And Research (CLEAR), the Library is pleased to offer the following advanced NVivo workshop for staff and postgraduate students to use NVivo to conduct research analysis. CUHK staff and postgraduate students are all welcome to join.

Strategies to advance qualitative data analysis: from thematic, matrix coding to text queries through NVivo

When analysing qualitative data, researchers can use an inductive or deductive approach to examining sources of data. Coding may allow us to formulate a framework or identify sources of evidence with respect to the approaches used. Categories emerge when individual coding is clustered into levels of sub-themes. To address research questions, researchers can further explore relationships between or within cases. The queries function in NVivo will allow researchers to retrieve matrix results easily. In addition, NVivo also offers an alternative approach to textual script analysis that provides fresh scope from the sea of data to provide an enlightened scope in addition to existing theories.

Date: 22 Jan 2019 (Tue)
Time: 10:30 a.m. - 12:00 noon
Facilitator: Dr. Paula Hodgson
      Professional Consultant, Centre for Learning Enhancement And Research (CLEAR)

Language: English
Venue: Digital Scholarship Lab, G/F, University Library

Intended participants: Staff and postgraduate students who have started using NVivo to analyse research data


  • Participants must be experienced with using NVivo.
  • Interested participants will need to bring your own notebook computer with NVivo installed before attending the workshop. Participants are welcome to bring along your own qualitative research project data.
  • ‘NO walk-in’ is arranged.
  • Priority of registration will be given to staff and postgraduates who have attended the workshop on “Researching with NVivo: From Coding to Meaning Making”.


  • Click here to register (Postgraduate Students)
  • Click here to register (Staff)

Enquiries: Email to research@lib.cuhk.edu.hk