Workshop on Smart PLS to Enhance Quantitative Data Analysis Literacy at ICMA 2025

Abstract

Quantitative research increasingly requires sophisticated analytical techniques capable of modeling latent constructs and complex relationships. Partial Least Squares–Structural Equation Modeling (PLS-SEM) has emerged as a widely adopted approach due to its predictive orientation, flexibility, and suitability for small samples and non-normal data. However, many academics and postgraduate students face challenges in correctly applying PLS-SEM using Smart PLS software, particularly in model specification, validity and reliability evaluation, and interpretation of structural results. This community engagement activity aimed to enhance quantitative data analysis literacy through a Smart PLS workshop conducted at ICMA on February 5, 2025. The program employed a capacity-building approach integrating theoretical explanation and hands-on simulation. Participants were trained in data preparation, measurement model evaluation, structural model assessment, and bootstrapping procedures. The results indicate significant improvement in participants’ conceptual understanding, technical competence in operating Smart PLS, and ability to interpret and report statistical outputs systematically. The workshop also strengthened research confidence and publication readiness. This initiative demonstrates that structured methodological training is an effective strategy to enhance research quality and academic productivity within higher education communities.