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Qualitative Data Analysis   Tags: data  

This guide provides information and guidance for researchers interested in conducting qualitative data analysis.
Last Updated: Sep 5, 2014 URL: http://guides.nyu.edu/QDA Print Guide RSS UpdatesEmail Alerts

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General Information

 

Location

5th Floor Research Commons
Bobst Library
70 Washington Square South

Staffed Hours (Summer 2014)

Mondays: 12pm - 6pm
Tuesdays: 12pm - 6pm
Wednesdays: 12pm - 6pm
Thursdays: 12pm - 6pm
Fridays: 12pm - 4pm


Data Services workstations are also available for walk-in use whenever the library stacks are open.

Contact

Data Services Appointment Form
data.services@nyu.edu
(212) 998-3434

 

Qualitative Data Analysis software

For your qualitative data analysis needs, Data Services supports Atlas.ti and NVivo software applications using Boot Camp on our Mac machines. Currently there are twenty-three workstations in the Research Commons with Atlas.ti 7.1.8 installed on them; twelve (virtual) licenses are in circulation for NVivo.

These data analysis tools can be used for an assortment of purposes, including coding and analyzing transcripts, field notes, literature reviews, grants, and other documentation. Source materials for coding and analysis using either software can include DOCX., CSV, PDF, TXT, RTF, PJEG, GIF, and audio & video formats.

Deciding on what qualitative data analysis software application to use may require some forethought. Each software application has its advantages. Please fill out our appointment form if you require a consultation on usage of each software.

Additionally, we also provide stand alone and/or course integrated workshops and one-on-one consultations for faculty, staff, research groups, and students.

 

Atlas.ti

Example of workspace when aut-coding in Atlas.ti 7.1.8

 

NVivo Workspace

Example of NVivo 10 workspace when coding

Qualitative Data Analysis and Survey Design Specialist

Get Help

If you have questions about qualitative data analysis tools or need assistance:

Contact Data Services

Our hours can be found here (click on the current semester).

      
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