Introduction to f4analyse Training
Learn how to analyse qualitative data using f4analyse like the experts do.
This course is a tailored introduction to using f4analyse for qualitative data analysis.
Understand the structure of f4analyse 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 f4analyse's tools powerfully
Set up an f4analyse project to reflect initial research design and change structures as a research project progresses
Identify f4analyse's tools that can be used to fulfil specific analytic tasks
Know where to access relevant resources to support continued f4analyse use.
At the end of this course, you will learn to set up a project, code, retrieve and visualise data.
It follows the Five-Level QDA principles for harnessing f4analyse powerfully, combining discussion, demonstration and hands-on practice with using f4analyse, including:
Contextual discussions – developmental, methodological and analytical principles
Software overview – interface, architecture, components, actions and tools
Analytic planning – introduction to the Five-Level QDA method as a tool for harnessing f4analyse powerfully
Guided instruction – step-by-step teaching in the operation of f4analyse and the use of tools for analytic tasks
Individual support – time for participants to discuss their projects with the tutor
All our sessions are bespoke.
Although our courses are structured around a logical overview of the qualitative analysis process, we do not deliver mechanical, functional training.
We work closely with you to understand your particular needs and future use of the software and design the right content, providing participants with a real sense of how they can best utilise the software to meet their particular needs, rather than what the software will allow them to do in a general sense.
The design of each course therefore varies, but would likely include:
Principles of using f4analyse – architecture, terminology and organisation of project files
preparing and importing data,
navigating around f4analyse (components, actions, tools),
approaches to coding (inductive and deductive coding),
organising data (coding to capture factual characteristics)
straightforward retrieval (codes, segments)
analysing visual and social-media data
finding patterns and relationships across themes (filtering, summarising, exploring distributions)
using f4analyse in team contexts.
The course can use sample data, although preferably your own research material, to learn f4analyse's functionalities in your own context.
Although no previous knowledge of f4analyse is required, participants should have some familiarity with qualitative research.
You can download a free demo version of f4analyse here.
Participants will be required to complete a short pre-workshop questionnaire to enable the tutor to focus and tailor the training specifically to attendees’ requirements.
Who is this course aimed at?
This training is usually delivered to research teams and institutions and on graduate programmes, although the course is completely tailorable to your organisation.
This course is tailored to you and can be provided as either a one, two, or three day equivalent session. The exact content will be worked up with you on the basis of participants’ likely uses and need.
Format and documentation
All our workshops are hands-on, delivered thorough a blend of demonstration, discussion and practical exercises, rather than providing simplistic, mechanical instruction.
To deliver a tailored experience for participants, we work closely with you to understand their research goals and analytical strategies. Participants will be required to complete a short pre-workshop questionnaire to enable the tutor to focus and tailor the training specifically to attendees’ requirements and cover the most salient topics, as well as specialist needs arising out of individual projects.
Participants are provided with slide decks, reading lists and a range of resources to accompany the course and to support consolidation of the topics covered.
Does this sound right for you? Interested in finding out more? Not quite right, but looking for something similar? Drop us a line to see how we can help.