NVivo training: workshops in computer-assisted data analysis

Qualitative researchers conduct projects that require analysis and interpretation of different unstructured and semistructured datasets, such as observations of how people behave and interact in various settings, focus groups, open and semistructured interviews, field notes, documents and other rich qualitative data sets. Rigorous scholarly exploration of such datasets requires not only mastery of the analytical techniques that underpin different approaches of qualitative inquiry, but also mastery of analytical tools that support systematic, systemic and transparent data analysis and interpretation process.

The Faculty of Education and Social Work provides free training in computer-assisted data analysis using NVivo. The program for researchers who are new to the software is titled "Introduction to computer-assisted data analysis: handling data with NVivo". It comprises three four-hour sessions, scheduled in successive weeks.

Intermediate and experienced users of NVivo – including students who have completed the introductory program – are invited to register for "Advanced techniques of computer-assisted data analysis: exploring qualitative data with NVivo", a single four-hour workshop scheduled to take place one day after the final session of the introductory program.


Introduction to computer-assisted data analysis (CAD): handling data with NVivo


  Session 1 Session 2 Session 3
Group 1/
Timeslot 1

10am–2pm
Tuesday, May 26

10am–2pm
Tuesday, June 2

10am–2pm
Tuesday, June 9

Group 2/
Timeslot 2

2.30–6.30pm
Thursday, May 28

2.30–6.30pm
Thursday, June 4

2.30–6.30pm
Tuesday, June 9

Group 3/
Timeslot 3

1.30–5.30pm
Friday, May 29

1.30–5.30pm
Friday, June 5

1.30–5.30pm
Wednesday, June 10



Due to high demand for this training, this program will be offered to three groups, each allocated a specific timeslot (see right). Once allocated to a group/timeslot, students are expected to attend all three sessions with that group. Attendance for the final hour of each session is optional because this time has been set aside for students' individual practice under the guidance of the facilitator.

Venue: Computer Lab 229, Education Building A35

Facilitator: Dr Lina Markauskaite, Senior Lecturer (eResearch), CoCo

Registration: The classes are open to higher-degree-research candidates and staff in the Faculty of Education and Social Work and other faculties in the Division of Humanities and Social Sciences. To register for the workshop, complete the online form. Places are limited. Early registration is essential to secure a place. Your place will be confirmed by email in 5–7 days. If you need to cancel your registration for any reason, please do so as early as possible be emailing the facilitator; there is usually a waiting list.

Workshop summary

This hands-on workshop aims to provide participants with foundational knowledge to start their own NVivo research project and sufficient competences to learn more advanced techniques of computer-assisted text, video, audio and other data analysis independently. Each session consists of the introduction to general qualitative data handling and analysis principles mixed with participants’ hands on work trying these techniques in NVivo. A list of self-learning resources for follow-up learning of new computer-assisted data handling and analysis techniques will be provided.

The introductory workshop will cover the following core topics:

  • Session 1: Participants will learn to setup a new project, prepare and handle documents in NVivo and annotate texts.
  • Session 2: Participants will be introduced to coding. They will learn key principles of text coding and will be introduced to some multimodal data handling and coding techniques, including images, video and audio.
  • Session 3: Participants will learn a range of coding techniques, including descriptive, topical and analytical coding, inductive and deductive approaches.

Prerequisites

  • General familiarity with qualitative data analysis techniques
  • Advanced (upper intermediate) word processing skills

Data and software

An exemplary NVivo dataset will be provided for demonstrating and trying new techniques during the workshop. Participants who have their own coded data are encouraged to bring their NVivo project to the workshop.

NVivo version 10 for Windows is used during the workshop. NVivo software can be downloaded from the University’s ICT software website. If you have any software-related enquiries, contact the ICT Helpdesk on 9351 6000 or ict.support@sydney.edu.au.



Advanced techniques of CAD: exploring qualitative data with NVivo


  Session time
Group 1/
Timeslot 1

10am–2pm
Thursday, June 11

Group 2/
Timeslot 2

2.30–6.30pm
Thursday, June 11



Due to high demand for this training, this program will be offered to two groups, each allocated a specific timeslot, one in the morning of June 11 and the other in the afternoon (see above). Attendance for the final hour of each session is optional because this time has been set aside for students' individual practice under the guidance of the facilitator.

Venue: Computer Lab 229, Education Building A35

Facilitator: Dr Lina Markauskaite, Senior Lecturer (eResearch), CoCo

Registration: The classes are open to higher-degree-research candidates and staff in the Faculty of Education and Social Work and other faculties in the Division of Humanities and Social Sciences. To register for the workshop, complete the online form. Places are limited. Early registration is essential to secure a place. Your place will be confirmed by email in 5–7 days. If you need to cancel your registration for any reason, please do so as early as possible be emailing the facilitator; there is usually a waiting list.

Workshop summary

This follow-up session of computer-assisted data analysis will focus on case analysis and core data querying techniques. It will cover key aspects of case management in NVivo, including how to define attributes, work with casebooks, and how to work with cases. Most of the workshop time will be allocated for different techniques for exploring patterns in qualitative data. Participants will explore standard NVivo examples and create their own cases, queries and matrices.

Prerequisites

The session is designed for intermediate/advanced NVivo users. Students can come to this class immediately after the introductory NVivo workshop. Alternatively, students may register independently of the introductory course.

Data and software

An exemplary NVivo dataset will be provided for demonstrating and trying new techniques during the workshop. Participants are encouraged to bring their own data for individual work.

NVivo version 10 for Windows is used during the workshop. NVivo software can be downloaded from the University’s ICT software website. If you have any software-related enquiries, contact the ICT Helpdesk on 9351 6000 or ict.support@sydney.edu.au.



Enquiries

Any enquires please contact the Research Student Liaison Officer.