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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
This 90 minute tutorial covers MAXQDA's advanced features for Mixed Methods analysis from setting variables, using weighted codes, and other features that can help you make the most of your qualitative data. We will cover the basics of mixed methods best practices and preparing your data set to transfer into a quantitative analysis software.
Software: MAXQDA
Duration: 90 min

Room description:

During the Fall 2021 semester, some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering

Prerequisites: Attend Digital Tools for QDA or Introduction to MAXQDA before attending this tutorial
Skills Taught / Learning Outcomes:
  • Identify variables in Qualitative Data
  • Create and classify variables in your dataset
  • Perform Basic Mixed-Methods Analysis (i.e. Crosstabulation)
  • Prepare a data set for export to Quantitative software
Class Materials:
Related Classes:
Additional Training Materials:

MAXQDA Training

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Upcoming sessions for this tutorial