Welcome to this event - We hope you enjoy and grab thousands insights. Happy learning!
Gusman Nawanir is a senior lecturer and Head of Operations and Supply Chain Management Research Cluster in the Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia. He earned his Bachelor of Engineering in Industrial Engineering from the University of Andalas, Indonesia; Master of Science, and Doctor of Philosophy in Operations Management from Universiti Utara Malaysia. He had long experience in consultancy projects dealing in a couple of organizations in Indonesia and Malaysia. He taught courses in quality management, stakeholder management, operations management, lean management, research methodology, and procurement in Industrial management. Besides, he has been invited to a number of training sessions on research methodology, data analysis with Statistical Package for the Social Sciences (SPSS), Structural Equation Modeling (SEM) with SmartPLS and AMOS, and data management and analysis using Microsoft Excel. His main research interests include lean operations, business sustainability, manufacturing flexibility, quality management, production management, performance management, and Industry 4.0-related issues. As a scholar, Gusman is actively teaching and having papers published in reputable journals and conferences. His publications appear in a number of journals, such as Journal of Manufacturing Technology Management, International Journal of Lean Six Sigma, Global Business Review, Benchmarking: International Journal, International Journal of Service and Operations Management, International Journal of Supply Chain Management, Journal of Knowledge Management, International Journal of Knowledge and Learning, Journal of Retailing and Consumer Services, Critical Reviews in Biotechnology, Environmental Challenges, Sustainability, Applied System Innovation, and many more. Besides publishing in the impactful journals, he had also secured the best paper and best presenter awards in a couple of international conferences.
Provide a systematic understanding on data analysis using structural equation modeling (SEM) technique.
Provide essential skills of data analysis effectively by utilizing SEM technique with AMOS
Provide essential knowledge in interpreting data analysis results using AMOS
Introduction to SEM.
Measurement Model Assessment.
Structural Model Assessment.
Higher order model (HOM).
Mediation and moderation models.
*This tentative is subject to change depending on the time and other circumtances.
Prior to the workshop, you have to get SPSS and AMOS installed in your computer because both are linked together. You cannot use AMOS without SPSS. To get the software, please do the followings:
Download SPSS software and install.
Download AMOS software and install.
SPSS and AMOS are compatible with all recent Windows 10, 8, 8.1, 7, Vista, XP, and Windows 2000. For the installation, please download the installer and run the file.
We will apply the participatory learning approach or active learning in this training, in which learning is undertaken 'with' rather than 'for' participants.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. Essex, England: Pearson Education Limited.
Byrne, B. M. (2016). Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming (3rd ed.). London: Routledge.
Arbuckle, J. L. (2012). IBM SPSS Amos 21: User’s Guide. Chicago: Amos Development Corporation.
Pallant, J. (2016). SPSS Survival Manual (4th ed.). London: McGraw-Hill House.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2 ed.). Thousand Oaks, CA: Sage.
Awang, Z. (2015). SEM Made Simple: A Gentle Approach to Learning Structural Equation Modeling. Selangor, Malaysia: MPWS Rich Publication.
Need more references?
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