We will hold KIMAP Two-day Workshop on February 15th and February 16th

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

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.

• 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

• 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

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