Overview
This course provides a comprehensive introduction to using NVivo to manage the data and analyse a qualitative or mixed methods research project.
Using Nvivo is pertinent to many kinds of research studies including, case studies, multiple case studies, cohort studies using a mix of interviews and questionnaires, studies with visual data, comparative and documentary studies, including systematic literature review studies.
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 Lectuer 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 on approaches to qualitative data analysis and on research literacy and design. You can read about Pauline’s research and teaching interests here.
Pauline and Haleema run a series of NVivo work shops for Research and Development at University of Manchester for PGR students using NVivo. They are also in the process of developing a web-based independent learning resource on using NVivo for the University of Manchester Library.
Further course details
Participants will be guided through all the phases of setting up a project to its analysis and reporting, and how this can be facilitated through the creative and systematic use of NVivo.
This includes planning an analysis and creating structural frameworks to reflect initial research designs; familiarising with qualitative materials (at an in-depth interpretive level and at a higher content-based level); coding qualitative data using different analytic approaches (contrasting inductive, grounded approaches and deductive, topic or theoretically informed approaches, using manual coding and autocoding); using NVivo to capture reflections through writing, mapping and linking; interrogating patterns and relationships to identify themes, making comparisons and explore anomalies; handling demographic and open ended survey responses and using visualisations to communicate findings in engaging and powerful ways.
The course combines demonstrations, discussions, presentations, group-work and feedback, and participants are encouraged to bring project data with them to work with during the sessions, although sample materials will also be available to use.
Course aims
- To understand the role of NVivo in the analytic cycle
- To develop a detailed working understanding of the capabilities of NVivo for facilitating qualitative and mixed-methods data analysis
- To be able to plan an analysis using NVivo tools
- To understand how to prepare qualitative materials of different types for efficient analysis within NVivo
- To be able to harness NVivo tools powerfully for a range of analytic activities, including data integration and organisation, qualitative coding and memoing, organising project data and literature (including participant demographics and document metadata), interrogating patterns, relationships and anomalies, managing interpretations, and visualising and presenting findings.
Further course details
Participants will be guided through all the phases of setting up a project to its analysis and reporting, and how this can be facilitated through the creative and systematic use of NVivo.
This includes planning an analysis and creating structural frameworks to reflect initial research designs; familiarising with qualitative materials (at an in-depth interpretive level and at a higher content-based level); coding qualitative data using different analytic approaches (contrasting inductive, grounded approaches and deductive, topic or theoretically informed approaches, using manual coding and autocoding); using NVivo to capture reflections through writing, mapping and linking; interrogating patterns and relationships to identify themes, making comparisons and explore anomalies; handling demographic and open ended survey responses and using visualisations to communicate findings in engaging and powerful ways.
The course combines demonstrations, discussions, presentations, group-work and feedback, and participants are encouraged to bring project data with them to work with during the sessions, although sample materials will also be available to use.
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 general understanding of the principles of doing qualitative data analysis, including the idea of coding and memoing as key analytic tasks.
There is no need to have used NVivo before attending the course, but participants are encouraged to have completed pre-course familiarisation tasks, that will be provided when registering.
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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 for PGR students
We will have a small number of bursary places available on a competitive basis for PGRs (these offer a further reduction on the PGR/reduced fee rate). We aim to have information updated on here about the bursary application process by the end of February.
Any questions, please do not hesitate to contact us on methods@manchester.ac.uk
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