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Introduction to MAXQDA & qualitative and mixed-methods analysis (1 day - online)


Course Information

Short Courses

This one day workshop provides a comprehensive overview of MAXQDA and an opportunity for participants to practice tasks using sample data. 

Course Code

Intro to MAXQDA 17 Jan 2023

Course Leader

Dr Sarah Bulloch
Course Description

The focus is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data and interrogating and visualising data.

 The course combines discussion, demonstration and hands-on work, including:

  • Contextual discussions – developmental, methodological and analytical principles
  • Software Overview –interface, architecture, tools
  • Analytic Planning – ensuring analytic strategies drive the appropriate use of software tools
  • Guided Instruction – step-by-step teaching in the operation of MAXQDA and the use of tools for analytic tasks

Please note: This is MAXQDA 2022 course.  Participants using version 2020 are welcome to attend but the main part of the course will cover the functions available for MAXQDA version 2022. The software is the same on Mac and Windows platform

Course Details:  Online

Start time 09.30

End time 16.15



Government  andCommercial sector applicants

£ 220

Educational and charitable sector applicants 

£ 155

All students

£ 130


Please note that if you request to pay by invoice, the total for your course will appear as £0 at this stage but you will be asked to provide the details of your institution/company during the booking process so an invoice can be raised. 


For Government/Commercial and Academic/Charitable places and Student places
Up to 10 working days before - refund of fee - minus £20 admin fee; 
Up to 5 working days before - half refund of fee - minus £20 admin fee; 
Under 5 working days - no refund.

Please be aware that you may be required to bring your own laptop with the software already installed.

StartEndCourse Fee 
Introduction to MAXQDA for qualitative and mixed-methods analysis (1 Day) Online
17/01/202317/01/2023[Read More]

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