Partial Least Squares (PLS) is another method for assessing causal models besides covariance-based method used in AMOS. It is a composite-based approach to Structural Equation Modelling (SEM) which:

- allows researchers to estimate complex models with many constructs and indicator variables
- aims at maximizing the explained variance of dependent constructs in the path model
- allows the estimation of reflective and formative constructs
- offers much flexibility in terms of data requirement

OBJECTIVES
This workshop is designed to familiarize participants with the basics of using PLS-SEM as a multivariate analysis method in their research. This workshop aims to provide:

- an introduction to PLS-SEM approach
- the nature of causal modeling
- basic PLS-SEM Modelling
- evaluation of measurement results
- publication experience

CONTENTS
- Introduction to SEM
- Usage of SEM
- Various methodological issues
- Basics of SEM – formative versus reflective measurement
- Modelling using PLS
- Assessment of measurement model
- Assessment of structural model

  Trainer

Dr. Sia Mal Kong is an Associate Professor at the Department of Quantity Surveying in the Faculty of Built Environment,TAR UC. Graduated with a honours degree in civil engineering from Universiti Malaya in 1985, he has at least 7 years ofindustrial experience. He also has a diploma in education from Universiti Malaya, teaching English in a secondary school in Tumpat, Kelantan; and served in Pusat Pengajian Kejuruteraan Awam, Universiti Sains Malaysia, Tronoh Branch, Perak before. He joined TARC in May 2003, and has served in this higher education institution since then. His PhD, obtained in 2010, was on ISO 9001 using AMOS for SEM. His most notable article was published in a special issue of the TQM Journal. His latest article on PLS-SEM was recently published in Sustainability from MDPI.

Sr. Dr. Gunavathy A/P Kanniyapan is a senior lecturer at the Department of Real Estate in the Faculty of Built Environment, TAR UC. She obtained her Diploma in Valuation in year 2008, Bachelor of Science (Property Manangement) in year 2011 and Doctor of Philosophy (Facilities Management) in year 2016 from Universiti Teknologi Malaysia. Her doctoral dissertation was entitled “Selection Criteria of Building Material for Optimising Maintainability” was based Structural Equation Modelling methodology. Her most notable article published in Journal of Construction and Building Material (Impact Factor: 6.141) which entitled “Selection Criteria of Building Material for optimising Maintainability”. She has over 5 years of experience teaching Diploma in Real Estate Management, Bachelor of Real Estate Management and Bachelor of Quantity Surveying programmes since joining TAR UC in 2016.

Dr. Allan Chong Kim Wing is a senior lecturer at the Department of Real Estate in the Faculty of Built Environment, Tunku Abdul Rahman University College. He obtained his Bachelor of Science (Property Management) and Doctor of Philosophy (Facilities Management) from Universiti Teknologi Malaysia. Furthermore, his PhD dissertation was on maintenance management and analysed using SmartPLS.

 Programme Details