This on demand online course presents Structural Equation Modeling (SEM) concepts, prerequisites and applications using the lavaan package in the R-software. The course is organized into five modules. Module 1 presents core concepts in SEM. Module 2 introduces the participant with the R-environment. Module 3 shows data preparation and prerequisites for SEM. Module 4 covers factor analysis. Module 5 demonstrates common method bias check in three approaches. Finally, Module 6 shows SEM model estimations. At the end of each module there is an MCQ exercise to test your understanding of the topics covered.
Ziaul Haque Munim is Associate Professor of Maritime Logistics at the Faculty of Technology, Natural and Maritime Sciences at the University of South-Eastern Norway. His main research interests include maritime logistics, supply chain management, forecasting and research methods. He holds a PhD degree in International Management from the University of Agder and MSc degree in Supply Chain Management from the Vienna University of Economics and Business. He has extensive traning in Structural Equation Modeling from the University of Oslo and University of Cambridge. Further, he has a diploma in Global Transport Challenges from the University of Oxford. Follow his research on researchgate.
Participants receives course completion certificate from Research HUB Online Education upon finishing all lectures and scoring 70% or higher points in the 5 set of MCQs within 01 to 30 weeks from the enrollment date.
THE COURSE INCLUDES
- 29 on-demand lectures covering about 03 hours.
- 6 set of MCQ tests for assessment.
- Lecture slides.
- Example R-scripts included (worth NOK 99)
- Sample datasets for analysis practice.
- Sample journal articles published using practice data.
- 30 minutes ZOOM consultation at the end (upon request).
- Lifetime access to course resources and updates.
See Payment Options here.
The course contents are subject to copyright. Unauthorized distribution of the course contents will lead to legal actions by Research HUB. The enrolled participants will have lifetime access to the course materials and any future updates. For institutional subscription, contact us at firstname.lastname@example.org.
Md. Shamirul Islam
Md. Shamirul IslamAs a Ph.D. student, I find this online course very useful. This online course has helped me to understand new concepts about SEM. More importantly I have gained hands-on experience in SEM-R. Thank you Research Hub team.