Handling data with NVivo

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

For:

school MPhil, EdD, DSW and PhD students at the beginning of their research degree

  sunDAYTIME SCHEDULE or    moonNIGHT SCHEDULE

Days:
Dates:
Time/s:

Tuesday, Wednesday, Thursday
April 14, 15, 16
10am–1pm; (1–2pm if you wish
to work on your own data with assistance
from the instructor)


Nights:
Dates:
Time:

Tuesday, Thursday, Tuesday
May 19, 21, 26
4–7pm; (7–8pm if you wish
to work on your own data with assistance
from the instructor)

Content for daytime and night sessions is identical. Evenings are offered to assist staff and students who are unable to attend during the day and will only be held if a sufficient number of registrations are received before the deadline.

Venue:

Computer Lab 224, Education Building A35

Instructor:

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

RSVP:

   Email Suin Jung at least one week prior to the first session in your preferred schedule.


Prerequisites

  • Good familiarity with qualitative research methods (Minimum prerequisite is one of: Qualitative Methods (EDPK5001), Qualitative Analysis (EDPK6012) or Adv Qualitative Research Methods (EDPK6001).

  • 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.

The workshop will cover the following core topics of computer-assisted data analysis with NVivo.

Each session will consist of introduction to new techniques mixed with participants’ individual work on their own projects. A set of self-learning resources for follow up learning of new computer-assisted text analysis techniques will be provided.

Data

An exemplary dataset will be provided for demonstrating new techniques. You are expected to bring your own data for individual work.


Follow-up session – exploring qualitative data

THIS SESSION WILL NOT RUN IF THERE ARE INSUFFICIENT NUMBERS Dr Lina Markauskaite

  Dr Lina Markauskaite

Eligibility: school MPhil, EdD, DSW and PhD students who are intermediate users of NVivo
Date: Friday, April 17
Time: 10am–1pm
Facilitator: Dr Lina Markauskaite, Senior Lecturer (eResearch), CoCo
RSVP: Email Suin Jung by Monday, April 13.

Workshop summary

This follow-up session of Computer-assisted text analysis will focus on case analysis and simple data querying techniques. Initially we will cover key aspects of case management, including how to define attributes and work with casebooks; and how to create and manage simple cases. Participants will be shown how to create simple queries and investigate patterns in qualitative data.

Participants will explore standard NVivo examples and create their own cases, queries and matrices. You are encouraged to bring your own NVivo project with coded data. The session is designed to support the autonomous learning of intermediate/advanced NVivo users. While participants can come to this class immediately after the introductory NVivo workshop or join this session separately, everyone is encouraged to cover the following self-learning materials independently (ideally before joining the session):