Sat, 02 Nov

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Taylor's Lakeside Campus

Partial Least Squares - Structural Equation Modelling

Using WarpPLS 6.0 and SmartPLS 3.0

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Partial Least Squares - Structural Equation Modelling

Time & Location

02 Nov 2019, 8:00 am – 03 Nov 2019, 5:00 pm

Taylor's Lakeside Campus, Taylor's Lakeside, Subang Jaya, Selangor, Malaysia

About the Event

SEM is a statistical approach to analyze a hypothetical framework simultaneously, allowing researcher to test and develop theories and test the relationships between latent variables on the conceptual model. The two types of SEM are: Covariance-based technique (CB-SEM) and Variance-based or Partial Least Squares SEM (PLS-SEM). CB-SEM is confirmatory in nature and should meet some assumptions and requirements such as; the normality of data, and a minimum sample size based on the complexity of model, whereas PLS-SEM can handle theory development and no need to meet the model’s assumption and requirement such as normality of the data, and large sample size. The PLS-SEM is a variance-based approach and aims to maximize explained variance of dependent latent constructs; whereas the CB-SEM aims to reproduce the theoretical covariance matrix. Therefore the PLS-SEM is preferred when the researcher wants to predict construct and identify relationship between them. 

Two common and powerful software programs will be employed for PLS-SEM analysis namely: WarpPLS 6.0 and SmartPLS 3.0. 

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