Introduction to NVivo for qualitative and mixed-methods analysis (in-person)

Date:

04/12/2024 - 05/12/2024

Organised by:

CAQDAS Networking Project, University of Surrey

Presenter:

Dr Sarah L. Bulloch

Level:

Entry (no or almost no prior knowledge)

Contact:

Email: daycourses@surrey.ac.uk

Map:

View in Google Maps  (GU2 7XH)

Venue:

Elizabeth Fry Building
Stag Hill campus
University of Surrey
Guildford
Surrey GU2 7XH

Description:

Overview

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

This two day, in-person course provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data. The focus is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data and interrogating and visualising data. 

The course combines discussion, demonstration and hands-on work, including:

  • Contextual discussions – developmental, methodological and analytical principles
  • Software Overview –interface, architecture, tools
  • Analytic Planning – ensuring analytic strategies drive the appropriate use of software tools
  • Guided Instruction – step-by-step teaching in the operation of NVivo and the use of tools for analytic tasks
  • Individual Support – some time for participants to discuss their projects with the Tutor

During the first day sample data are used to become familiar with tools, and the whole group follows common tasks together and practices exercises individually. Work is structured to provide step-by-step support. 

During the second day participants may set up their own NVivo project and work with their own research materials if they wish. Alternatively, they may continue to work with the sample data. The first part of the day focusses on translating the tasks covered in day one into practice. Individuals and teams work independently, with support from the tutor. The remainder of the day focuses on experimenting with more sophisticated uses of tools. Possibilities and implications are discussed, demonstrated and practiced. 

Participants are encouraged to bring their own research materials to work with (this could include transcribed primary data, literature files, reports pertinent to the project, etc.), although sample materials can also be provided. 

Please note: The tutor will demonstrate using NVivo 15 and 14 for Windows and the Windows computers in the training lab have version 14, and the previous version (R1) installed. Participants using the new NVivo or its predecessors (e.g  14, “R1” -released March 2020, or NVivo v.12) for Window or Mac are welcome to attend but the course focuses on functions available in the Windows version of NVivo14 and 15, which are not all the same for the Mac version. See the Lumivero website for product details.

You are encouraged to bring your own laptop with the software installed, but you do not need to do so, as the training venue has Windows machines with the software installed on them. If you will NOT bring your own laptop, please let the organisers know by emailing daycourses@surrey.ac.uk

Learning outcomes

By the end of the course participants will be able to:

  • Understand the structure of NVivo and how it can be used throughout a research project.
  • Navigate around the software and operate it to undertake analysis.
  • Understand the importance of analytic planning in harnessing NVivo tools powerfully to answer individual research questions.
  • Set-up an NVivo project to reflect initial research design and change structures as a research project progresses.
  • Identify NVivo tools that can be used to fulfil specific analytic tasks, including codes, memos, attribute values, queries and maps.
  • Know where to access relevant resources to support continued NVivo use. 

Course content

  • Introduction to NVivo’s components
  • Tips for data preparation, transcription, import and organisation
  • Data exploration and familiarisation
  • Coding strategies – inductive, deductive approaches; manual and automated approaches; coding in a literature review.
  • Organising materials to factual characteristics such as socio-demographics (attributes) to facilitate interrogation.
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting.

Learning and teaching methods

  • Presentations
  • Demonstrations
  • Guided hands-on exercises
  • Independent hands-on work. 

 

Timings

The course runs from 09:45 to 16:15, UK time, on both days

Cost:

£255 Students
£191 Discounted rate for UGPN students
£264 Discounted rate for UGPN staff
£310 Education and charitable sector applicants
£435 Government and commercial sector applicants

Website and registration:

Register for this course

Region:

South East

Keywords:

Qualitative Data Handling and Data Analysis, Qualitative Software, NVivo, Research Skills, Communication and Dissemination (other)


Related publications and presentations from our eprints archive:

Qualitative Data Handling and Data Analysis
Qualitative Software
NVivo
Research Skills, Communication and Dissemination (other)

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