This workshop focuses on Structural Equation Modeling (SEM) using survey data and requires prior attendance at the Phase-I workshop. Participants will perform full measurement model to verify the reliability and validity of the data. The validated data will then be utilized for path analysis in SEM using the AMOS software.

After going through this workshop, you will learn to:

• Test congeneric model for individual construct
• Test full measurement model by confirmatory factor analysis (CFA) for all constructs
• Test the path model and check for model fitness
• Test for alternate model for model maturity
• Test for mediation analysis
• Test for moderation analysis

This course will benefit HDR students in any field of research and those who want to learn how to run a path model using SEM. This will offer an evidence of analysis rigor with a multivariate technique applied to a complex path model having a simultaneous effect of antecedent (exogenous) variables on outcome (endogenous) variables. Research that uses SEM has a higher chance of getting published in higher ranking journals.

You are advised to bring your own laptop with SPSS 25 and AMOS 25, or higher version already installed. You may bring your data set and/or research problem with you to work simultaneously. Some example data will be provided for demonstration anyway. 

Or you may be provided access to remote desktop. In that case you do not have to install the above software.

Associate Professor Himanshu Shee's HDR supervision focuses on equipping scholars with advanced skills in methodologies like Structural Equation Modeling (SEM), using tools such as AMOS-SEM and PLS-SEM. Under his mentorship, students not only undertake rigorous empirical and theoretical research but also achieve significant academic outputs, with publications in leading Q1 and Q2 journals. He is an experienced HDR supervisor and thesis examiner, contributing to the broader academic community through his expertise in SEM techniques. This wealth of experience makes him a sought-after mentor and examiner in his field.

Register for the workshop HERE on VU Develop.

For more information about this session please email Researcher.Development@vu.edu.au