Course Language: English!
Partial least squares structural equation modeling (PLS-SEM) has recently received considerable attention in a variety of disciplines, including
- marketing (Hair et al 2011, according to Google scholar the most-cited article ever published in JMTP; Hair et al. 2012a, according to Google scholar the most-cited JAMS article since 2012),
- strategic management (Hair et al. 2012b, according to Google scholar the most-cited LRP article since 2012), and
- management information systems (Ringle et al. 2012, according to Google scholar the second-most cited MIS Quarterly article since 2012).
PLS is a composite-based approach to SEM, which aims at maximizing the explained variance of dependent constructs in the path model. Compared to other SEM techniques, PLS allows researchers to estimate very complex models with many constructs and indicator variables. Furthermore, PLS-SEM allows to estimate reflective and formative constructs and generally offers much flexibility in terms of data requirements.
This four-day course introduces participants to the state-of-the-art of PLS-SEM using the SmartPLS 3 software (www.smartpls.com). The first two days of the course provide a profound introduction to PLS-SEM. Participants will learn the foundations of PLS-SEM and how to apply it by means of the SmartPLS 3 software. The instructors will make use of several examples and exercises. Starting at the third day and continuing on the fourth day, the course covers extensions and new developments to PLS-SEM.
Take a look at recent PLS-SEM publications!
This course has been designed to familiarize participants with the potentials of using the multivariate analysis method PLS-SEM in their research. The objectives of this course are to provide an in-depth methodological introduction into the PLS-SEM approach (the nature of causal modeling, analytical objectives, some statistics), (2) the evaluation of measurement results, and (3) complementary analytical techniques. More specifically, participants will understand the following topics:
- Model development and fundamentals of PLS-SEM
- Assessment and reporting of measurement and structural model results
- A new criterion for discriminant validity: The heterotrait-monotrait ratio of correlations (HTMT)
- Mediating effects
- Moderating effects (interaction effects)
- Multigroup analysis
- Measurement invariance testing (MICOM)
- Higher-order constructs (e.g., second-order models)
- New segmentation tools, such as FIMIX-PLS and PLS-POS
This course has been designed for full-time faculty and PhD students who are interested in learning how to use the PLS-SEM method in their own research applications. A basic knowledge of multivariate statistics and SEM techniques is helpful, but not required.
Participants will receive a certificate of attendance. Universities usually acknowledge this course with a workload of 6 ECTS.
- The course is based on the PLS-SEM textbooks:
Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd edition. 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.
- Presentations: The session will cover theory and its application.
- Computer exercises using the latest SmartPLS 3 version: Specifically, theoretical explanations underlying the software procedures and practical exercises where participants will apply their learning to real-world examples provided by the instructors.
Course participants will receive a 60-days fully functional version of SmartPLS 3.