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Qualitative Data Analysis

This guide provides information and guidance for researchers interested in conducting qualitative data analysis.

Qualtitative Support

Qualitative Data Services

For your qualitative data analysis needs, Data Services supports Taguette, MAXQDA, and ATLAS.ti software applications. Currently, MAXQDA, ATLAS.ti, and Taguette are installed on computers in the NYU Bobst Library's Research Commons on the 5th floor.  ATLAS.ti and MAXQDA are also available on the Virtual Computer Lab.

Warning regarding the VCL: Please be sure you are familiar with successfully saving your when working on the VCL before you begin coding.  We have several incidents of loss to data due to issues in saving materials, therefore it is best for users to export the project bundle if they want a copy on their personal computer. We recommend you access the VCL using Chrome or Firefox, given we have had issues with the Safari browser.

Workshops

We offer a number of classes each month, which can be found at: https://guides.nyu.edu/DS_class_calendar. For help deciding which qualitative data analysis software to use, attend our general monthly information session:  What Qualitative Data Analysis (QDA) Software to Use? You can also request a workshop from us to be embedded in your course, presented for a club, or as a part of an event at NYU.

Synchronous consultations

You can also make an appointment to meet with a qualitative data specialists by yourself or with your group: https://guides.nyu.edu/appointment.

Asynchronous consultations

You may also send us your questions to be answered via email at data.services@nyu.edu. Most e-mails will be answered within one business day (messages received on Friday will not be answered until Monday).

Service Guidelines

Whom we can help: 

  • Current NYU students, faculty, and staff.

Services we provide: 

  • One-on-one consultations for specific technical questions related to the usage of Atlas Ti, MAXQDA, and Taguette. 
  • Embedded classes for large group instruction of qualitative data analysis tools. 
  • Monthly workshops that provide an introduction to NYU-supported software.

What we don't do: 

  • Methodological support regarding the type of qualitative research design used, and coding standards, best practices for qualitative research, etc. 
  • Assistance on homework or projects related to coursework. 
  • Ongoing consulting with large scale qualitative research projects. 

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Original work in this LibGuide is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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