Date

Thursday, February 15th
Friday, February 16th

Title

Structural Equation Modeling (SEM) using Partial Least Squares (PLS) – An Introduction to the Software SmartPLS & Hands-on Exercises

Venue

I 208 (Rokko-dai 1st Campus, Main Building 2F)

Contents

This two-day course offers a comprehensive introduction to the analysis of empirical data through Partial Least Squares Structural Equation Modeling (PLS-SEM), focusing on its application in social science research. Participants will gain expertise in building, estimating, and analyzing path models using SmartPLS 4. The course covers various forms of path models, including mediation, moderation, and those incorporating higher-order constructs.

The seminar incorporates both theoretical content and hands-on exercises to guide participants through the entire process of integrating data into the model, specifying the model, analyzing it, and interpreting the results. The hands-on exercises utilize a sample dataset with a marketing focus. Additionally, participants will learn how to report PLS-SEM results in research papers. The course encourages discussions on research ideas or ongoing projects involving survey data or PLS-SEM.

The seminar employs explanatory slides and documents, which will be made available to participants.

Presenters

Xenia BOERNER (Faculty of Business and Economics, Dresden University of Technology)

Valeria KNELS (Faculty of Business and Economics, Dresden University of Technology)

Day 1: February 15th

9:00 a.m.-12:00 p.m.

・Introduction to SEM
・Path model and data examination
・Path model estimation

1:00 p.m.-3:00 p.m.

・Assessing PLS-SEM results: reflective and formative measurement models

Day 2：February 16th

9:00 a.m.-12:00 p.m.

・Evaluation of the structural model
・Mediation and moderation analysis
・Higher-order constructs

1:00 p.m.-3:00 p.m.

・How to report PLS-SEM results in research papers
・Q&A session on individual research projects

Who Should Attend

Professors, graduate students of GSBA (including KIMAP students and SESAMI PhD). Interested researchers and students from other schools and universities are welcome.

Sponsored By

KIMAP Research Seminar

Co-sponsored By

RIEB Seminar

Registration

Please register at the URL below by Wednesday, Feburary 14th.
https://docs.google.com/forms/d/10UG1PMFXwP-foHT62_PdRCUodFKr1MzW8NNlCUqKJrI/edit

Contact

Kimitaka Nishitani (Professor, RIEB, Kobe University)
Email: kimitakan[at]rieb.kobe-u.ac.jp

Yiting Weng (Assistant Professor, GSBA, Kobe University)
Email: wengyt[at]people.kobe-u.ac.jp