Structural equation modeling (SEM) is a powerful multivariate method used in scientific investigations to test causal relationships between multiple independent and dependent variables with multiple indicators. SEM tests the direct and indirect effects between latent variables in research models. It combines two statistical methods: confirmatory factor analysis and path analysis. SEM is currently one of the most frequently used method in postgraduate studies and research publications.

AMOS (Analysis of Moment Structures) and SMARTPLS 4 are two famous statistical software packages designed for SEM analysis. The two software provide user-friendly graphical interface, allowing researchers to visually construct and test their covariance-based SEM models. The two software facilitates the examination of complex relationships between observed and latent variables in an SEM model.

This 2-day workshop is for postgraduate students, academicians, and researchers with no / little basic working knowledge of statistics and SPSS, who are/will be required to carry out statistical analysis for their research.

Through the workshop, participants will learn the basic methods of drawing SEM models in AMOS and SMARTPLS 4, conducting confirmatory factor analysis (CFA) to evaluate validity and relationship of measurement items of the variables in the SEM model, analyzing direct and indirect relationships among variables in their research models/conceptual frameworks. Learning SEM analysis would help participants to excellently plan their research, as well as analyzing and reporting the results of their own analysis.

The workshop uses a practical hands-on approach. Participants will be able to practice their data analysis skills in SPSS based on the datasets given to them during the workshop. 

Professor Chua is the editor of the book “Contemporary Research Approach Application of Structural Equation Modeling in Research and Practices (2021)” (see book 1), He is also the author of the book "A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, process and regression (2024)” (see book 2). 

Professor Chua is also the author of McGraw-Hill Education’s best-selling book series "Research Methods and Research Statistics".

He has been an invited speaker for more than a hundred AMOS, SPSS, and SmartPLS workshops. From 2015 to 2017, he was invited by the Institute of Graduate Studies, University of Malaya to conduct 38 workshops (14 hours each) for postgraduate students at the university to enhance their data analysis skills under the upskill program. Between 2015 and 2016, he was invited by the National Sports Institute of Malaysia to conduct 12 statistics workshops for bio-mechanists, nutritionists, and psychologists at the institute to enhance their data analysis skills.

To attend the workshop,

(1)  download and fill the registration form. The form is attached to this email. It can also be downloaded from this link: Registration form

(2) pay the registration fee directly to RESEARCHTREE RESOURCES, Account Number: 8011050200, CIMB Bank.

(3) email your (1) registration form and (2) the proof of payment/receipt to Ms Lina (email: researchtreeresources@gmail.com).

For further information, please email researchtreeresources@gmail.com

We look forward to your participation.

Ms. Lina

Academic Workshop Coordinator
Researchtree Resources

Email: researchtreeresources@gmail.com

To download the Registration Form: