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NVivo Essentials
Course Information
NVivo is a computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information (including interviews, open-ended survey responses, pictures, audios, videos, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required.
A completion certificate will be issued to each participant.
course information
Code: NVivo 101
Offered: Globally
Duration: 2 days
Timing: 9 am - 5 pm
For Skill Level: 0 to 3
Price: per head quotation
Booking: Request Form
The course is designed
- to provide researchers with essential skills in using NVivo software
- for potential participants who are working on or about to embark on a research project
- for participants assuming they have no prior skills with using NVivo, however will cater for all levels of participants (from novice to advanced users)
- to focus on developing the essentials skills from NVivo through hands-on experience
- to provide sample data, however those with their own data will be accomodated and encouraged to advance their 'real' projects
Course Format
- This training will be conducted using the Microsoft Windows platform only.
- NVivo for Mac are welcome, but must be aware that all demonstrations will be provided in Windows.
- Participants will be expected to have the latest version of the software installed on their own devices.
- A 14 day free trial is available through QSR International.
- Please do not open the trial version until just before the start of the course.
- Once (or if) you have NVivo installed, please check the latest updates are installed within the program.
- If you are using a laptop from your workplace, it will be essential that you install all your updates before attending the course. You may not have the authorisation to install software outside of your work environment.
- Please have EndNote installed on your PC. The use of NVivo and EndNote will be demonstrated.
- You will also need a copy of Micosoft Office on your PC.
Related Courses
Requirements
- Group: 15-20 participants
- Venue: white board, quality data projector, access to printer
- Catering: tea/coffee/lunch
Instructor
Syllabus
Part I: Introduction to the software and data managementInstalling, opening the software. Setting up a project and consideration of the design framework. Creating, importing and managing text-based data. Annotations, Memos, See-also links, NCapture will be described.
Part II: Analysing text-based dataCoding techniques and analytic processes. Using text analysis tools including coding, auto coding, text search and word frequency queries. Managing nodes, merging, moving and restructuring coding will be described.
Part III: Using multimedia sources of dataImporting, transcribing, coding and managing multimedia based data. Use of complimentary software packages including bibliographic packages with NVivo will be shown.
Part IV: Advanced data Analysis. Critiquing coding structureMoving from descriptive coding to categorical, thematic, conceptual or theoretical coding will be described.
Part V: Queries, visualisations, exploring and reporting dataTesting hypotheses and establishing credibility. Posing questions to test the strength of emerging propositions and/ or conclusions drawn from data analysis will be discussed. Identifying ways of answering these questions using Queries and other exploration and visualisation tools in NVivo by running coding queries, creating charts, graphs and models will be explored.
Part II: Analysing text-based dataCoding techniques and analytic processes. Using text analysis tools including coding, auto coding, text search and word frequency queries. Managing nodes, merging, moving and restructuring coding will be described.
Part III: Using multimedia sources of dataImporting, transcribing, coding and managing multimedia based data. Use of complimentary software packages including bibliographic packages with NVivo will be shown.
Part IV: Advanced data Analysis. Critiquing coding structureMoving from descriptive coding to categorical, thematic, conceptual or theoretical coding will be described.
Part V: Queries, visualisations, exploring and reporting dataTesting hypotheses and establishing credibility. Posing questions to test the strength of emerging propositions and/ or conclusions drawn from data analysis will be discussed. Identifying ways of answering these questions using Queries and other exploration and visualisation tools in NVivo by running coding queries, creating charts, graphs and models will be explored.
prerequisites
- Qualitative research methods knowledge.
- Familiarity with Windows based computer environments.
Recommended Texts
- Edhlund, B. and McDougall, A. (2019). NVivo 12 Essentials. Sweden: Form & Kunskap AB.
- Bazeley, P. & K. Jackson. (2013). Qualitative Data Analysis with NVivo (Second Edition). London: Sage.
- Miles, M. B., A. M. Huberman & J. Saldana. (2013) Qualitative Data Analysis: A Methods Sourcebook (Third Edition). Thousand Oaks: Sage.
- Richards, L. (2014). Handling Qualitative Data: A Practical Guide (Third Edition). London: Sage.
- Saldana, J. (2016) The Coding Manual for Qualitative Researchers (Third Edition). London: Sage.