Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


After completion this course, students have an understanding about the usefulness of PLS-SEM for their dissertation and other research projects.

Credits: 6

Schedule: 15.03.2023 - 05.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Tomas Falk

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    Partial least squares structural equation modeling (PLS-SEM) is a well-established method that enables researchers to assess theoretical arguments and to evaluate how well theories in a variety of research fields predict outcomes. This course discusses the appropriate use of the method. Topics will include an overall introduction to PLS-SEM, specification and estimation of path models, assessments of PLS-SEM results (e.g., evaluation of reflective measurement models, of formative measurement models, and of the structural model), and advanced PLS-SEM analyses such as mediation and moderation analyses.

    The course is suited to PhD students who pursue a deductive research approach that involves survey-based (and other) data and path models with latent variables. 


Study Material
Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Minimum attendance is 80% of course hours, giving presentations is compulsory for every participant.