Research Tools

Research tools are used for data analysis and enable researchers to make better decisions with data. 

  • Atlas.ti - This is a computer program used mostly, but not exclusively, in qualitative research or qualitative data analysis. Tutorials and videos.
     
  • IBM SPSS - Helps to address the entire analytical process, from planning to data collection to analysis, reporting, and deployment. 
     
  • OpenRefine - OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another, and extending it with web services and external data. How to use OpenRefine. [OpenSource]
     
  • SAS - SAS is analytical software that helps turn your data into better decisions. It is infused with cutting-edge, innovative algorithms that can help you solve even your most intractable problems. How to get started with SAS Tutorials
     
  • STATISTICA - Provides the most comprehensive array of data analysis, data management, data visualization, and data mining procedures. Its techniques include the widest selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform. How to use Statistica.
     
  • R - R is open-source software for data manipulation, calculation, and graphical display. [R is installed on the Research and Honours Commons computers.]

Getting the software

Mahikeng Campus: 

Potchefstroom Campus:

  • Students: For Laptop installation of the software please use the Walk-In services at Building F20 or contact your IT department at +27(0)18 299 2700. 
  • Staff: To download the programs use the IT App Portal.
  • Postgraduate students and researchers may make use of these software programs at the computers in the Research and Honours Commons. 

Vanderbijlpark Campus: 

 

Support in using these tools

Mahikeng Campus: For support please contact your Student IT Support at +27 (0)18 389 2345.

Potchefstroom Campus: For support please contact your Faculty or School.

Vanderbijlpark Campus: For support please contact Martie Esterhuizen at +27 (0)16 910 3174