A Tutorial on Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3
Date and Time:
July 6, 2015 / 9:00am-12:00pm
NUS School of Computing
Mac Wen-Lung Shiau
Department of Information Management
Ming Chuang University, Taiwan
SGD40 (includes tea break and lunch)
About the tutorial
Partial least squares structural equation modeling (PLS-SEM) has recently received considerable attention, especially for the management information systems (Ringle, Sarstedt, & Straub, 2012), marketing (Hair, Sarstedt, Ringle, & Mena, 2012) and strategic management (Hair, Sarstedt, Pieper, & Ringle, 2012), operations management (Peng & Lai, 2012), and organizational research (Sosik, Kahai, & Piovoso, 2009). However, despite an increasing use of PLS-SEM, the methodology is often poorly executed, misused, and wrongly applied. This implies that there is a necessity to educate PhD students and junior researchers when and how to correctly use PLS-SEM for research and journal publications.
In this introductory tutorial, we provide real examples of SmartPLS 3.x so that PhD students and junior researchers can learn the software and practice during the tutorial. Further, we introduce the advanced topic of PLS-SEM, including Consistent PLS Algorithm& Bootstrapping, IPMA, Mediation, Moderation, Hierarchical component models (second order reflective vs formative), Multi-group analysis, Latent class techniques (Heterogeneity) FIMIX-PLS and PLS-POS. More advanced topics will not be covered in depth, but will be suggested with suitable literature. At the end of tutorial, it is expected that participants will be able to accurately run any basic PLS-SEM applications and some extensions as required for research and journal publications.
Who should attend: Individuals who wish to learn when and how to correctly use SmartPLS software for their PhD research and/or high-quality journal publications.
Requirements: Prior experience with PLS-SEM is recommended but not required. Participants must bring a laptop with the SmartPLS 3 software installed. The software is available on http://www.smartpls.com.
Instructor: Mac Wen-Lung Shiau has authored over 60 books, including Multivariate Data Analysis, SPSS+LISREL, GoTop (2nd edition, 2009, cited 1,160+ times). Statistical Analysis, SPSS+PLS-SEM (SmartPLS), GoTop (2013). He also has numerous publications in journals such as Behaviour & Information Technology, Computers in Human Behavior, Scientometrics, Information Technology and People, Communications of the Association for Information Systems (CAIS), Scientometrics, European Journal of Information Systems (EJIS), and among others.
Important notice: Participants will get 2-3 months free license of SmartPLS 3.X (Thanks for the support from Prof. Ringle, C.M.)
- Hair, J.F., Sarstedt, M., Pieper, T.M., & Ringle, C.M. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications.
Long Range Planning, 45, 320-340.
- 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, 414-433.
- Peng, D.X. & Lai, F. (2012). Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research.
Journal of Operations Management, 30, 467-480.
- Ringle, C.M., Sarstedt, M., & Straub, D.W. (2012). A Critical Look at the Use of PLS-SEM in MIS Quarterly.
MIS Quarterly, 36, iiixiv.
- Sosik, J.J., Kahai, S.S., & Piovoso, M.J. (2009). Silver Bullet or Voodoo Statistics? A Primer for Using the Partial Least Squares Data Analytic Technique in Group and Organization Research. Group Organization Management, 34, 5-36.