Exploring the versatility of PLS-SEM analysis in research: from social sciences to engineering applications / Mohamad Zain Hashim and Muriatul Khusmah Musa

• Main Authors: Hashim, Mohamad Zain, Musa, Muriatul Khusmah
• Format: Monograph
• Language: English
• Published: Unit Penerbitan PKAPP 2024
• Subjects: Pulau Pinang; Universiti Teknologi MARA
• Online Access: https://ir.uitm.edu.my/id/eprint/108587/1/108587.pdf; https://ir.uitm.edu.my/id/eprint/108587/

Introduction Partial Least Squares Structural Equation Modeling (PLS-SEM) has emerged as a powerful statistical analysis tool, especially within the realms of social sciences and business research. Unlike traditional statistical methods, PLS-SEM focuses on maximizing the explained variance of the dependent latent constructs, making it particularly useful for complex models and when dealing with real-world data that may not meet strict assumptions of normality. Its application through software like SmartPLS has simplified the process, making advanced statistical analysis accessible to researchers and practitioners alike.