Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

In this subject, Gillian Saunders discusses how students can properly use data analysis to back their research. She begins with explaining what kind of data and variables there are and continues with the definition of scales. And concludes with ways to make sure your data is correct and ways to analyze your data are discussed.

 

This week’s learning objectives are:

  • Distinguish between different types of data
  • Be aware of data usage and storage rules
  • Distinguish between dependent and independent variables
  • Know what scales are
  • Select appropriate data analysis tools for your data
  • Use a statistical data analysis tool
  • Assess quality of data
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