Overview
This course provides a comprehensive introduction to using NVivo to analyse a qualitative or mixed methods research project.
Initially we provide the basic NVivo knowledge needed to run a simple qualitative data-based study within NVivo, including working with text, image, audio, and video data.
We then move on to perform more complex analyses, such as comparing the responses of different groups, using demographics, and incorporating survey data within an NVivo project. This will enable you to work with the full range of data, using NVivo to help with the management, analysis, and reporting of your project.
Meet your course leads
Dr Haleema Sadia is Lecturer in Education at the University of Manchester. She is the unit director of a unit called ‘Using NVivo for Qualitative and Mixed Methods Analysis”, which is part of the MSc Research Methods, which has pathways in a number of disciplines such as education, human geography, international development and planning and environmental management.
Dr Pauline Prevett is Senior Lecturer in Education at the University of Manchester. She is the programme director for the above MSc in Research Methods and is a unit tutor on the ‘Using NVivo’ unit mentioned above as well as the unit director of MSc Research Methods units in approaches to qualitative data analysis and in research literacy and design. You can read about Pauline’s research and teaching interests at here.
Pauline and Haleema run a series of NVivo workshops for Research and Development at University of Manchester for PGR students using NVivo across the University of Manchester. They are also in the process of developing a web-based independent learning resource on using NVivo for the University of Manchester Library.
Course aims
This course will introduce you to a range of research projects using NVivo. You will:
- Apply a wide range of Nvivo features to develop a project and the course will help you to make informed decisions at every stage from project planning to reportage.
- Manage and use multimodal methods within a project, including visuals
- Demonstrate and explain the methods in which NVivo can be employed in qualitative and mixed-methods data analysis.
- Develop practical skills in using NVivo for qualitative/ mixed methods studies and in literature review methodology.
- Understand the importance of rigorous and critical approaches to the visualisation of data and analysis.
- Situate the use of NVivo within wider parameters of research design and epistemology. This includes how multimodal NVivo projects can be set up and aligned with a research design including their philosophical stances (e.g. constructivism, critical realism).
Further course details
This four-day course will be delivered in person and comprises discussions, exposition, demonstration, written text content, video demonstrations, exercises with relevant resources and follow-up readings and viewings.
We have a number of videos and other resources (NVivo 12 for Windows and Mac) which accompany the course and serve as supplementary resources. Example data resources will be available throughout the 4-day course. Participants are also encouraged to bring their own project data with them to work with during some parts of the sessions.
Structured Approach to Dataset Analysis in NVivo:
During the four days, we will take you step-by-step through the analysis of a dataset and you will have a chance to work with several different NVivo projects.
We will cover: setting up the project in NVivo, immersion in the data, gaining an overview of your dataset, developing an analysis and maintaining an audit trail, comparing categories or groups and presentation.
Integration of NVivo Usage into Research Methodology:
The course has a strong focus on how to use NVivo, whilst emphasising the importance of maintaining synergy with the research design of the project and, hence, with its epistemology, methodology and methods.
How to use NVivo is then integrated within a wider context of sound research methodology. A short 3 minute video about our 4-day course can be accessed below:
Further resources and recommended reading
There are a wide range of books and articles which will help you to develop more understanding of the Nvivo package ahead of the course.
Who is likely to most benefit from attending this course?
PGR students, academics and researchers working in any discipline doing qualitative or mixed-methods projects with a significant qualitative element.
Any pre-requisites?
Participants should have a basic understanding of approaches to qualitative data analysis. There is no need to have used NVivo before attending the course.
Participants should bring their own laptop (with charging cable) and if possible you should bring an external mouse for your laptop. You will need to install Nvivo ahead of the course. Ideally this should be the full licensed version of Nvivo (e.g. via your University IT services). But if this is not possible you can use Nvivo's free trial version (but do not activate this too far in advance of the course). The version used to demonstrate will be Nvivo 12 plus but you can use a different version if this is what you have access to.
More details of this will be sent to attendees.
.
Course timetable
This in-person course will run from 1pm on 1st July to 12.30pm on 5th July 2024 (equivalent to four full days). It will include refreshment breaks on all days and lunches Tuesday-Thursday as well as a Summer School social activity on the Monday evening (information will be circulated to all attendees).
See below for an indicative timetable.
Costs
- Full price: £900
- PGR/reduced rate: £600
Book your place
Places should be booked through the University of Manchester e-store by clicking the button below (payment by card only).
Bursaries
We are pleased to be able to offer a limited number of bursaries for Summer School applicants eligible for reduced fees.
The main bursary scheme is limited to PGRs from the North West Social Science Doctoral Training Partnership, but we also have a very limited number of bursaries for other applicants eligible for reduced fees who are facing exceptional circumstances.
Please see the main Summer School website (bottom of the page) for details of these bursaries and information about how to apply.
Any questions, please do not hesitate to contact us on methods@manchester.ac.uk
© The University of Manchester, 2024 all rights reserved.