Introduction to QDA Miner Training
Learn how to analyse qualitative data using QDA Miner like the experts do.
This course is a tailored introduction to using QDA Miner for qualitative data analysis.
Understand the structure of QDA Miner 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 QDA Miner's tools powerfully
Set up an QDA Miner project to reflect initial research design and change structures as a research project progresses
Identify QDA Miner's tools that can be used to fulfil specific analytic tasks
Know where to access relevant resources to support continued QDA Miner 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 QDA Miner powerfully, combining discussion, demonstration and hands-on practice with using QDA Miner, 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 QDA Miner powerfully
Guided instruction – step-by-step teaching in the operation of QDA Miner 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 examples of what can be included:
Codebook management and manual coding
Security features and text retrieval tools
Coding frequency and retrieval
Code co-occurrence and case similarity analysis
Assessing relationship between coding and variables
Using the Report Manager and the Command Log
The course can use sample data, although preferably your own research material, to learn QDA Miner's functionalities in your own context.
Although no previous knowledge of QDA Miner is required, participants should have some familiarity with qualitative research.
You can download a free trial version of QDA Miner 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.