Kursens beskrivning

LEARNING OUTCOMES

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

CONTENT, ASSESSMENT AND WORKLOAD

Content

• 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. 

DETAILS

Study Material

• valid for whole curriculum period:

  The course combines independent and directed learning. It rests on a selected set of readings that includes journal papers (an initial reading list will be provided) and the following two books:

  Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed. Thousand Oaks, CA: Sage.

  Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

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

Beskrivning