Introduction to MAXQDA

Key information

Start date: To be confirmed

Cancelled due to COVID-19 – to be rescheduled ASAP

Attendance dates:

To be confirmed

Time commitment: 2 days

Venue:

Stag Hill campus, University of Surrey, Guildford, Surrey GU2 7XH

Contact details:

Overview

This two-day course provides a comprehensive overview of MAXQDA and an opportunity for you to practice tasks using your own 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.

During the first day, sample data are used in order to become familiar with tools and the whole group follows common tasks together and practises exercises individually. Work is structured to provide step-by-step support. During the second day, you will set up your own MAXQDA project and work with your own project materials. The morning focuses on translating the tasks covered in day one into practise. The remainder of the day focuses on experimenting with more sophisticated uses of tools. Possibilities and implications are discussed, demonstrated and practised.

Learning outcomes

  • 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

  • Software overview including interface, architecture and tools
  • Developmental, methodological and analytical principles
  • Principles of using MAXQDA
  • Data preparation, import and organisation
  • Data exploration and familiarisation
  • Coding strategies including appropriate uses of auto-coding
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting
  • Analytic planning ensuring analytic strategies drive the appropriate use of software tools

 

Learning and teaching methods

  • Contextual discussions
  • Step-by-step teaching
  • One-to-one tutorials

Course leader

Placeholder image for staff profiles

Dr Sarah Bulloch

Teaching Fellow

Reading list

You are required to read the MAXQDA review (PDF) before attending this course.

Class size

Maximum of 16 people.

Software and equipment

Please bring with you:

  • A USB memory stick.
  • Your own research materials with which to work on day two e.g. literature files, transcripts of interviews and focus-groups, social media content, open-ended survey responses, documentary evidence and visual materials.

Please note, this is MAXQDA version 18 course. Participants using version 12 are welcome to attend but the main part of the course will cover the functions available for MAXQDA version 18. The software is the same on Mac and Windows.

Software background

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

Entry requirements

There are no formal entry requirements for this course.

Participants should have a broad understanding of qualitative and/or mixed methods methodologies.

Fees and funding

Price per person:

£450

Government and commercial sector applicants

£325

Education and charitable sector applicants

£270

Students

How to apply

Applications for this course are currently closed.

In light of the COVID-19 pandemic and following the latest advice from the government relating to large gatherings, we have taken the decision to cancel future dates for this course, until further notice. Those who have registered for this course will be contacted directly regarding refunds. Please bear with us as this may take up to 14 working days to process. We apologise for any disappointment or inconvenience caused.

Register your interest

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 more.