Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Member rate £492.50
Non-Member rate £985.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
*If you attended our Methods School in Summer/Winter 2024.
On this course, you'll learn how to use NVivo for the management, coding, analysis and visualisation of qualitative data.
The content is spread over four modules and will teach you how to:
The course is entirely hands-on and uses sample data to teach NVivo’s basic and advanced functionalities.
I will not cover how to analyse qualitative data in NVivo using thematic analysis, grounded theory, or content analysis. To learn how to do this, take the course Advanced Qualitative Data Analysis.
Full course outline, including diagrams and demos
Marie-Hélène is a highly regarded methodologist who has NVivo Certified Platinum Trainer status. She has shared her expertise in qualitative data analysis with over 60 universities and research centres around the world, including Qatar and Iran. Since 2009, Marie-Hélène has been teaching introductory and advanced courses in qualitative data analysis at the ECPR Methods School. Her areas of methodological interest include qualitative evidence synthesis, decolonising epistemology, and participatory methodologies. Marie-Hélène is dedicated to advancing the field of qualitative data analysis and sharing her knowledge with others.
NVivo is a software programme for qualitative data analysis. It is a powerful platform that supports text, multimedia, pictures, PDFs, open-ended surveys from Excel and Survey Monkey, reference libraries, webpages, social media data from Facebook, Twitter, LinkedIn, and YouTube, notes from Evernote and OneNote, and emails from Outlook.
NVivo supports a range of inductive and deductive methods to qualitative analysis such as
You will gain the knowledge and skills to use the basic and advanced features of NVivo in your own research.
The content is spread over four modules and will teach you how to:
Module 1
I open with notions of qualitative research designs and their application in a NVivo project. We review how data can be organised in comparative and non-comparative designs, coding approaches developed, and types of analyses conducted.
We then move in NVivo and import and organise a range of qualitative data. We learn the key features that support a literature review so sources can be annotated and cross-referenced to highlight a line of arguments and connections across sources.
We turn our attention to the transcribing possibilities of NVivo, starting with transcribing media recordings in full or working only with sound and video sequences. I will explain how to work with still images. I explain how you can work directly on pictures or generate a log to associate comments with specific picture regions.
We create externals that link a NVivo project to outside information, and memos where the analytic process is recorded. Module 1 concludes with lexical queries which search for frequency, occurrence, and context of keywords in textual data. We analyse the outputs using word clouds, dendograms, and wordtrees.
Module 2
I introduce techniques to autocode and code data inductively in NVivo. We start by autocoding questions from structured interviews, so the responses of each question are gathered in one node.
Such data sorting – known as broad-brush coding – is very useful when you want to examine everything that was said about a question or a theme across a dataset without having to open every source of a project.
We move on to inductive coding and learn tools to code data manually. I will discuss and simplify key notions underlying the coding process such as coding unit, semantic exclusiveness, semantic exhaustiveness, and coding cooccurrence.
I introduce the use of relationship nodes to formalise relationships between codes when working towards hypothesis generation or falsification.
Module 2 concludes with visualisations that support the coding process from inception to end.
Module 3
Module 3 covers functionalities required to prepare and conduct qualitative analysis. Since a large proportion of social research gathers qualitative data, as well as variables, so comparison can be made across cases and sub-sets of cases.
First, we look at how to create cases from interview data, to import variables from Excel, and merge these to the cases. We extend our use of cases to policy documents, where comparisons are made on document data, and not cases of individuals. In both instances, we use the functionality of source and node classifications to define type of sources and cases in the dataset.
With the cases created, we turn to the NVivo search tools that efficiently retrieve cases matching a specific search string. This allows us to create sets of cases and documents for comparative analysis.
Module 4
Module 4 proposes different graphic displays to effectively communicate research findings. We first discuss the rationales for choosing certain displaysover others. We learn to generate maps, charts, diagrams, and dendograms.
Building a solid audit trail to back up results and substantiate one’s claims, we learn how to export qualitative findings out of NVivo, to use in Word, Excel, and PowerPoint. I will also cover the usefulness of generating nodes summary reports, which provide detailed synthesis of the scope of a node in a project.
If you have colleagues who don’t use NVivo, I will show you how to export project data in mini websites using HTML files.
No prerequisite knowledge of NVivo required. Knowledge of qualitative research is necessary.
THIS COURSE USES NVIVO 11 PRO FOR WINDOWS |
---|
This is a bring-your-laptop course for NVivo 11 Pro for Windows. Download the 14-day free trial
This course is unsuitable for NVivo 11 for Mac because the Mac version is incomplete. You can run NVivo 11 Pro for Windows on a Mac using Apple Boot Camp or Parallels if, and only if, your Mac meets these system requirements.
You must ensure that NVivo works well on your machine regardless of the OS, because no technical assistance is provided at the Winter School. Find more on installation instructions in the sections on Software and Hardware, below.
Day | Topic | Details |
---|---|---|
Friday | Data organisation and exploration |
|
Saturday morning | Data coding and comparison |
|
Saturday afternoon | Data analysis and visualisation |
|
Day | Readings |
---|---|
Note |
The NVivo 11 Pro Started Guide is the main text of the course. For a better understanding of how to use NVivo in qualitative research, read Bazeley & Jackson (2013) Qualitative Data Analysis with NVivo, 2nd edition NB: this book was written for NVivo 10. Some functionalities and dialog boxes are now outdated. |
Friday |
Data organisation and exploration Compulsory text The NVivo 11 Pro Started Guide pp.5–7; 10–14; 17–23; 37–38 Optional text Bazeley & Jackson: Qualitative Data Analysis with NVivo, 2nd edition format data: 59–61; download data with NCapture: 173–177; import data: (internals) 24–34; 45–46; 61–66; (open-ended surveys) 199–203; (social media) 171–176; 209–211; (multimedia) 154–167; transcription: 167–169; externals: 62–63; literature review: 178–194; links and memos: 34–45; text-based queries: 110–117; 249–250 |
Saturday morning |
Data coding and comparison Compulsory text The NVivo 11 Pro Started Guide pp.24–36 Optional text Bazeley & Jackson: Qualitative Data Analysis with NVivo, 2nd edition autocoding: 108–110; (datasets) 207–208; codes and coding: 68–94; coding scheme: 95–106; 117–119; relationship nodes: 230–234; cases and variables: 50–56; (from surveys) 122–139; 205–207 |
Saturday afternoon |
Data analysis and visualisation Compulsory text The NVivo 11 Pro Started Guide pp.40–48; 15–16 Optional text Bazeley & Jackson: Qualitative Data Analysis with NVivo, 2nd edition sets: 106–107; 146–153; coding-based queries: 141–146; 242–248; 250–257; cross-case analysis and theory-building: 257–265; visualisations: (model) 28–30; 217–230; 234–241; reports: 265–269; export content out of NVivo: 119–121; 139–140; team work: 270–296 |
This course requires you to run NVivo 11 Pro for Windows on your laptop or, alternatively, NVivo 11 Plus.
Download the 14-day free trial
This course is unsuitable for NVivo 11 for Mac because the Mac version is incomplete. You can run NVivo 11 Pro for Windows on a Mac using Apple Boot Camp or Parallels if, and only if, your Mac meets these system requirements.
You must ensure that NVivo works well on your machine regardless of the OS, because no technical assistance is provided at the Winter School.
Once NVivo is installed, verify that it works properly by following these instructions:
NVivo system requirements
|
Minimum |
Recommended |
Processor |
1.2 GHz single-core processor (32-bit) 1.4 GHz single-core processor (64-bit) |
2.0 GHz dual-core processor or faster |
Memory |
2 GB RAM or more |
4 GB RAM or more |
Display |
1024 x 768 screen resolution |
1680 x 1050 screen resolution or higher |
Operating system |
Microsoft Windows 7 |
Microsoft Windows 7 or later |
Hard disk |
Approximately 5 GB of available hard-disk space (additional hard-disk space may be required for NVivo project data) |
Approximately 8 GB of available hard-disk space (additional hard-disk space may be required for NVivo project data) |
See software requirements.
Summer School
Research Designs
Summer School
Expert Interviews for Qualitative Data Generation
Qualitative Data Analysis: Concepts and Procedures