Handling data with NVivo


Introduction to computer-assisted text analysis – handling data with NVivo

For:

school staff and MPhil, EdD, DSW and PhD students

  sunDAYTIME SCHEDULE or    moonNIGHT SCHEDULE

Days:
Dates:
Time/s:

Wednesday, Monday & Wednesday
April 9, 14 & 16 - FULL
10am–2pm; (1–2pm if you wish
to work on your own data with assistance
from the facilitator)


Nights:
Dates:
Time:

Wednesday, Friday & Wednesday
April 9, 11 & 16 - FULL
5–9pm (8-9pm if you wish
to work on your own data with assistance
from the facilitator)

DAYTIME AND EVENING SESSIONS ARE FULL.

Content for daytime and night sessions is identical. Evenings are offered to assist students unable to attend during the day.

Venue:

Computer Lab 229, Education Building A35

Facilitator:

Dr Lina Markauskaite, Senior Lecturer (eResearch), CoCo

Agenda:

   Session 1  –
   Session 2  –
   Session 3  –

Participants will learn to setup a new project, handle data and annotate texts
Participants will learn some simple multimodal data coding techniques
Participants will learn a range of data and method driven text coding techniques

Register:

   Registration is now closed.  All the workshops are full.


Prerequisites

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

Workshop summary

This hands-on workshop aims to provide participants with initial 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.

The last hour of each session is allocated for students’ individual questions and independent work with assistance from the instructor

Data

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.

Registration

Registrations are now closed. All the workshops are full.

For cancelling your registration, please email:




Follow-up session – exploring qualitative data

Eligibility:

Division of Humanities and Social Sciences (faculties of Arts and Social Sciences, Education and Social Work, and Law) higher degree research students who are intermediate users of NVivo

Date:

Thursday, April 17 - FULL

Time:

11am–3pm (2-3pm is allocated for students’ individual questions and discussion)

Venue:

Computer Lab 229, Education Building A35

Facilitator:

Dr Lina Markauskaite, Senior Lecturer (eResearch), CoCo

Register:

Registrations are closed.  This workshop is full.


Prerequisites

The session is designed for intermediate/advanced NVivo users. Students can come to this class immediately after the introductory NVivo workshop or join this session separately.

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.

Data

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.

Registration

Registrations are now closed. This workshop is full.

For cancelling your registration, please email: