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, the lecturer will discuss the subjects of validating and reliability. The lecturer starts the lecture with a short history lesson on research. From that history follows that a big part of research is its validity. He then explains the four types of validity: Conlusion Validity, Internal Validity, Construct Validity and External Validity. Besides that the lecturer discusses the different types of reliability and the difference between reliability and validity. The lecturer then explains how the industry validates and what tools they use. At last he discusses how the students can implement validation into their thesis most easily.

 

Learning Goals

What the student should know after this lecture:

  1. Identify different types of validation.
  2. Know what errors are present in data.
  3. Use logic as a validation method.
  4. Recognise the importance of validating work.
  5. Understand the place of validation in the master thesis project.

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