TY - JOUR
AU - Khojasteh, Jam
AB - STRUCTURAL EQUATION MODELING: A MULTIDISCIPLINARY JOURNAL 2023, VOL. 30, NO. 1, 165–167 BOOK REVIEW Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. By Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. Cham, Switzerland: Springer, (2021). 197 pp. $0, Open Access; $59.99, Hardcover Book. 1. Overview While the textbook was implemented with the SmartPLS- 3 Software (a window-based menu driven application), the Partial Least Squares Structural Equation Modeling (PLS- workbook is designed to emphasize the use of PLS-SEM SEM) Using R: A Workbook (Hair et al., 2021) is a work- with the R-structural Equation Modeling package SEMinR. book based on the textbook: A Primer on Partial Least The author’s noted that R has been gaining traction as Squares Structural Equation Modeling (PLS-SEM), (Hair research software and that among PLS-SEM R packages like et al., 2017). This review will highlight the differences and CSEM and semPLS, SEMinR was choosing as implementa- similarities between the workbook and the textbook but will tion package for the workbook due to its friendly syntax be mainly about the workbook. and flexibility that allows users to incorporate their own There are 
TI - Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
JF - Structural Equation Modeling: A Multidisciplinary Journal
DO - 10.1080/10705511.2022.2108813
DA - 2023-01-02
UR - https://www.deepdyve.com/lp/taylor-francis/review-of-partial-least-squares-structural-equation-modeling-pls-sem-bngir2g6K3
SP - 165
EP - 167
VL - 30
IS - 1
DP - DeepDyve
ER -