9:45am - 4:15pm
Wednesday 13 November - Thursday 14 November 2019
Introduction to NVivo 12
This two day workshop provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data.
Please contact firstname.lastname@example.org if you have any questions.
from £270.00 to £450.00
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This two day workshop 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 – time for participants to discuss their projects with the Tutor
During the first day sample data are used in order 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 set up their own NVivo project and work with their own project materials. 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: this is an NVivo 12 for Windows course. Participants using the Mac version are welcome to attend but the main part of the course will cover the functions available for the Windows version, which are not all the same for the Mac version.
- Principles of using NVivo
- Data preparation, import and organisation
- Data exploration and familiarisation
- Coding strategies – including appropriate uses of auto-coding
- Use of writing and visualisation tools to reflect on data and processes
- Querying and outputting
- 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
- 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
- Know where to access relevant resources to support continued NVivo use
Patsy Clarke is an independent Qualitative Researcher and Certified Platinum NVIVO trainer. Consultancies in the UK, Europe and Africa have included support and training in academia and with research groups. Projects in diverse fields have included international development, rural health, HIV-AIDS, community engagement, technology in education, professional development, and creative methodologies. For more information, please click here.
This course assumes participants have a broad understanding of qualitative and/or mixed methods methodologies, but assumes no prior knowledge about NVivo.
Level of study
Entry (no or almost no prior knowledge).
Varies according to status:
- £450 - Government/commercial sector
- £325 - Educational/charitable sector
- £270 - Students.
Participants are requested to read the NVivo review before attending this course.
Please bring with you:
- USB memory stick
- Your own research materials with which to work on the second day (e.g. literature files (PDFs are fine), transcripts of interviews/focus-groups, social media content, open-ended survey responses, documentary evidence, visual materials (still images, videos) etc.)