ISSR Methodology Workshop | Getting Started with MAXQDA: The Basics - Importing Documents, Creating Document Groups, Coding, and Building Categories from Codes

Wednesday, November 20, 2019 - 2:30pm to 4:30pm
E20 Machmer Hall | UMass Amherst

Instructor: Erica Kowsz

This workshop will cover the basics of how to get started using MAXQDA for qualitative data analysis. It is targeted to new users of QDA software and current users of NVivo, who don’t yet have experience with MAXQDA. This hands-on session will focus on importing data into MAXQDA, organizing it, coding, and building categories. We will also focus on “translating” between the language used for similar functions in MAXQDA and NVivo.

Participants are encouraged to install the trial version of MAXQDA on their own computers not more than 13 days prior to the workshop date. MAXQDA is not currently supported by SBS, but the company provides a free trial 14-day trial of the full software on their website. Please have the MAXQDA software downloaded to your personal device prior to the workshop, but if you’re using a trial, be sure not to install it too early! Features are 100% identical on MAXQDA, so don’t worry about whether you use a Mac or PC

Course Objectives:

By the end of this session, participants will be able to:

  • Navigate the MAXQDA workspace
  • Create a new project in MAXQDA
  • Import documents
  • Organize your data with document groups and document sets

What is MAXQDA?

MAXQDA is a qualitative data management software that offers a platform to organize, analyze, and parse through large amounts of qualitative data of all kinds—from interview recordings and field notes to video and images. It offers similar features to other QDA software you may be familiar with--like NVivo--but with some slight differences and it is 100% fully identical on Mac and PC. Want to learn more about what the software can do? Visit MAXQDA’s homepage.

ISSR Methodology Consultants are generously supported by the Graduate School at the University of Massachusetts, Amherst.