Collection

Advanced Partial Least Squares Path Modeling (PLS-PM) Applications in Social Sciences

Submission status
Closed

In this special issue, different types of contributions show new developments or insight in social sciences, considering the last theoretical developments. Most of the contributions are inspired by the International Symposium on Applied Structural Equation Modelling and Methodological Matter 2019 (SASEM 2019) which took place in Malaysia. During the Conference Scholars had the opportunity to share their idea on the Structural Equation Modeling based on the Partial Least Squares estimator, addressing methodological issues and real applications in a social science context.

This special issue shows that the advanced application of PLS-PM can extend the social sciences field in exploring various important research phenomena. The articles in this special issue will trigger substantial interest in further using advanced PLS-PM techniques in the near future (i.e., PLSpredict, mediation test, multi-group analysis, pathmox, importance-performance map analysis, etc.).

Editors

  • Enrico Ciavolino Enrico Ciavolino , 

    Enrico Ciavolino

    Salento University, Italy Enrico Ciavolino is Associate Professor of Psychometrics and Statistics at Salento University and member of scientific committee of Human and Social Sciences PhD course. He is the head of Sara-Lab (Statistical Analysis for Research and Applications) statistical Division of Espéro (spin-off of the University of Salento) and the Executive Managing Editor of the WoS & Scopus Journal: Electronic Journal of Applied Statistical Analysis. Since 2003 he has taught Descriptive and Multivariate Statistics in BA and MA Political Sciences courses.

  • Jacky Cheah Jun Hwa Jacky Cheah Jun Hwa  &

    Jacky Cheah Jun Hwa

    Universiti Putra Malaysia,Malaysia Dr. Jacky Cheah Jun Hwa is a lecturer in Faculty of Economics and Management. He teaches Principle Management, Marketing Management, Techno Entrepreneurship, and Research Method. He is also trained in Structural Equation Modeling (SEM). He teaches and facilitates workshops on Research Methodology, SPSS, AMOS-SEM, SmartPLS-SEM, and ADANCO-SEM at both undergraduate and postgraduate level for Faculty of Economics and Management in UPM, Faculty of Food Science and Technology in UPM, IPSAS in UPM, Putra Business School (PBS) in UPM, School of Business in UUM, and School of Accounting in UUM among others.

  • Biagio Simonetti Biagio Simonetti

    Biagio Simonetti

    Università del Sannio, Italy Dr. Biagio Simonetti is Associate Professor of Statistics, Faculty of Economics and Business Sciences at Università del Sannio, Italy.

Articles (10 in this collection)