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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.
Digital Tools for QDA is designed to address the advantages of using qualitative software tools for social science researchers. We introduce researchers to the logic of QDA software by comparing software design elements and highlighting the methodological implications of using QDA software for text analysis. This class is a general overview of QDA software tools featuring Atlas.ti, MAXQDA, and Taguette. 
Software: ATLAS.ti, MAXQDA, Taguette
Duration: 120 min

Room description:

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: None
Skills Taught / Learning Outcomes:
  • Principles of Qualitative Data Analysis
  • Data Management Strategies for Qualitative Data Analysis
  • Basic functions of Qualitative Data Analysis software
Class Materials:
Related Classes:
Additional Training Materials:

Overview and comparison of NYU QDA Software



Upcoming sessions for this tutorial