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DRL022 Partial Least Squares Structural Equations Modeling (PLS - SEM)

DRL022 Partial Least Squares Structural Equations Modeling (PLS - SEM)

Course code: 
DRL022
Course name: 
Partial Least Squares Structural Equations Modeling (PLS - SEM)
Program of study: 
Philosophiae doctor in Logistics (ph.d)
Campus: 
Molde
Credits: 
4
Teaching semester: 
2017 Spring
Recommended previous knowledge

Relevant master degree

Course content
  • The course is based on the PLS-SEM textbook:
    Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. 2016. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd edition. 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.
  • Before the course, all participants get a license key for using SmartPLS 3 Professional.

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. 2012a, 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).

The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM). The application of the PLS-SEM method is of particular interest if the premises of covariance-based SEM are violated and the assumed relations of cause-and-effect are not sufficiently explored. An additional advantage of the PLS-SEM method is the unrestricted incorporation of latent variables in the path model that either draws on reflective or formative measurements models.

This four days PhD course introduces participants to the state-of-the-art of PLS-SEM using the SmartPLS 3 software. The first day of the seminar provides a profound introduction to PLS-SEM. Participants will learn the foundations of PLS-SEM and how to apply it by means of the SmartPLS software. The instructors will make use of several examples and exercises. Starting at the second day and continuing on the third day, the seminar covers extensions and new developments to PLS-SEM.

Learning outcome

This PhD course is designed to familiarize with the potentials of using the multivariate analysis method PLS-SEM in international business 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
  • Higher-order constructs (so-called second-order models)
  • New segmentation tools, such as FIMIX-PLS and PLS-POS

This course has been designed for PhD students and full-time faculty 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.

Curriculum

The Book on PLS-SEM:

Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd edition. Thousand Oaks, CA: Sage.

Journal Articles:

Becker, J.-M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. MIS Quarterly, 37(3), 665-694. http://pls-institute.org/uploads/Becker2013MISQ.pdf

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151. http://dx.doi.org/10.2753/MTP1069-6679190202

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40(3), 414-433. http://dx.doi.org/10.1007/s11747-011-0261-6  

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-320. http://dx.doi.org/10.1108/S1474-7979(2009)0000020014

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182-209. http://dx.doi.org/10.1177/1094428114526928

Mandatory courseworkCourseworks givenCourseworks requiredPresenceComment
Assignment(s)22Not requiredParticipants will receive two introductory articles on PLS-SEM long before the course start.
Obligatoriske arbeidskrav:
Mandatory coursework:Assignment(s)
Courseworks given:2
Courseworks required:2
Presence:Not required
Comment:Participants will receive two introductory articles on PLS-SEM long before the course start.
Form of assessmentGroupingDurationType of durationGrading scaleProportionCommentSupported materialSupport material
Other assessment form, describe in comment fieldIndividual30minutesPass/fail The course will start with a 30 minutes exam regarding the required readings. All printed and written supporting material
School assessmentIndividual -Pass/fail The final course grade is based on the written exam and the course participation All printed and written supporting material
Vurderinger:
Form of assessment:Other assessment form, describe in comment field
Grouping:Individual
Duration:30
Type of duration:minutes
Grading scale:Pass/fail
Proportion:
Comment:The course will start with a 30 minutes exam regarding the required readings.
Supported material:
Support material:All printed and written supporting material
Form of assessment:School assessment
Grouping:Individual
Duration:
Type of duration:-
Grading scale:Pass/fail
Proportion:
Comment:The final course grade is based on the written exam and the course participation
Supported material:
Support material:All printed and written supporting material