Introduction to MAXQDA for qualitative and mixed-methods analysis - July

Key information

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Overview

MAXQDA is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data.

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

What you will need to attend

This course is delivered online using Zoom. In order to attend you will need a computer (Mac or Windows) that has access to the internet, and a microphone (inbuilt or external). We encourage participants to share their image using a webcam to foster dialogue and interaction, but this is not a requirement.

You will also need MAXQDA installed and working on your computer ahead of the session to get the most out of the workshop. If you do not currently have access to the software, details on how to access a 30 day free trial can be found on the MAXQDA website.

Learning outcomes

On successful completion of this course, you will be able to:

  • Understand the structure of MAXQDA 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 MAXQDA tools powerfully.
  • Set up a MAXQA project to reflect initial research design and change structures as a research project progresses.
  • Identify MAXQDA tools that can be used to fulfil specific analytic tasks.
  • Know where to access relevant resources to support continued MAXQDA use.

Course content

  • Principles of using MAXQDA
  • Data preparation, import and organisation
  • Data familiarisation, exploration, annotation
  • Coding strategies – including appropriate uses of auto-coding
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying to identify patterns within and across data
  • Outputting.

Learning and teaching methods

  • Presentations
  • Demonstrations
  • Guided hands-on exercises
  • Independent hands-on work.

Course leader

Dr Sarah Bulloch

Teaching Fellow

Reading list

Participants are requested to read the MAXQDA review (PDF) before attending this course.

Entry requirements

This course assumes participants have a broad understanding of qualitative and/or mixed methods methodologies, but assumes no prior knowledge about MAXQDA.

Fees and funding

Fees are to be confirmed

How to apply

Applications will be through our online store. 

Apply now

Terms and conditions

When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations and our terms and conditions. You are also confirming you have read and understood the University's prospective student privacy notice.

Further details of our terms and conditions will follow.

Disclaimer

This online prospectus has been prepared and published in advance of the commencement of the course. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read the full disclaimer.

Course location and contact details

Campus location

Stag Hill

Stag Hill is the University's main campus and where the majority of our courses are taught. 

Nita Walker Administrative Officer, Short Courses
Address

University of Surrey
Guildford
Surrey GU2 7XH