Second edition of the Primer on PLS-SEM released
Partial least squares structural equation (PLS-SEM) is evolving as a statistical modeling technique, and while there are several published articles on the method, until the first edition of „A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)“ there was no comprehensive book that explains the fundamental aspects of the method, particularly in a way that can be comprehended by individuals with limited statistical and mathematical training. This second edition of the book updates and extends the coverage of PLS-SEM for social sciences researchers, and creates awareness of the most recent developments in a tool that will enable them to pursue research opportunities in new and different ways. The second edition covers a broad range of new topics such as:
• An overview of the latest research on composite-based modeling (e.g., distinction between composite and causal indicators), which is the conceptual foundation for PLS-SEM.
• Consideration of the recent discussion of PLS-SEM as a composite-based method to SEM.
• More on the distinction between PLS-SEM and CB-SEM and the model constellations, which favor the use of PLS-SEM.
• Introduction of a new criterion for discriminant validity assessment: the heterotrait-monotrait (HTMT) ratio of correlations.
• In-depth discussion of the concept of model fit in a PLS-SEM context including an introduction of the following model fit measures: standardized root mean square residual (SRMR), root mean square residual covariance (RMStheta), and the exact fit test.
• Introduction of several methods for constructing bootstrap confidence intervals: percentile, studentized, bias-corrected and accelerated, and two double bootstrap methods.
• Revision and extension of the chapter on mediation, which now covers more types of mediation, including multiple mediation.
• Extended description of moderation (e.g., orthogonalizing approach for creating the interaction term, measurement model evaluation).
• Inclusion of moderated mediation and mediated moderation.
• Brief introduction of advanced techniques: importance-performance map analysis, hierarchical component models, confirmatory tetrad analysis, multigroup analysis, latent class techniques (FIMIX-PLS, REBUS-PLS, PLS-POS, PLS-GAS, PLS-IRRS), measurement invariance testing in PLS-SEM (MICOM), and consistent PLS.
• Consideration of the latest literature on PLS-SEM.
The second edition has just been released in the US and will soon be available in Europe. Further information: https://uk.sagepub.com/en-gb/eur/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583%20#description