Mastering SEM with AMOS
Are you ready to conduct your data analysis with confidence? Our step-by-step, easy-to-follow, hands-on training program on Structural Equation Modeling (SEM) using AMOS is designed to equip you with the skills and knowledge needed to confidently analyze your data for your research project or thesis, regardless of prior experience in quantitative research or data analysis.
Who Is This For?
Researchers
Researchers, whether experienced or emerging, seeking to equip themselves with advanced data analysis techniques to publish in top-tier journals, boost their publication record, or supervise students.
Postgraduate Students
PhD and Master's students seeking personalized guidance from an experienced mentor to test their models for their thesis, dissertation, or journal paper, regardless of prior experience in research and data analysis.
Working on YOUR Own Project
One-to-one Mentorship
Step-by-step Hands-on Approach
No Prerequisites Required
Why This
Masterclass?
Tangible Outcomes
Master advanced SEM analysis techniques
Independently conduct SEM analysis on your model
Interpret and report results for your thesis, dissertation, or publications
Whether you’re an emerging researcher stepping into the realm of data analysis or an experienced scholar looking to enhance your quantitative research skills, this program is tailored for you.
No prior experience in data analysis or statistics is required—all essentials will be covered from scratch..
Words from Our Participants
Meet researchers who have successfully applied SEM in their research project:
She, L., Ma, L., Voon, M. L., & Lim, A. S. S. (2023). Excessive use of social networking sites and financial well-being among working millennials: a parallel-serial mediation model. International Journal of Bank Marketing, 41(1), 158-178.
Pahlevan Sharif, S., She, L., Yeoh, K. K., & Naghavi, N. (2022). Heavy social networking and online compulsive buying: the mediating role of financial social comparison and materialism. Journal of Marketing Theory and Practice, 30(2), 213-225.
She, L., Rasiah, R., Waheed, H., & Pahlevan Sharif, S. (2021). Excessive use of social networking sites and financial well-being among young adults: the mediating role of online compulsive buying. Young Consumers, 22(2), 272-289.
What will you learn?
Step-by-Step Guidance
Receive invaluable support from an experienced mentor who will be with you every step of the way, guiding you through the journey of SEM analysis.
Comprehensive Coverage
Learn to assess reliability and validity of constructs, test relationships, explore mediation and moderation effects, and delve into advanced SEM techniques such as multi layer constructs, parallel mediation, serial mediation, moderated mediation, and conditional effect models.
Addressing Challenges
Encounter unique challenges in your analysis? Our program offers practical solutions and insights to overcome them effectively.
Practical Approach
Work with real datasets while simultaneously applying your skills to your own project. From data entry and cleaning to model development and assessment, we cover it all.