Advanced Issues in PLS-SEM

Authored by Joe F. Hair (University of South Alabama), Marko Sarstedt (LMU Munich), Christian M. Ringle (TU Hamburg-Harburg), and Siggi P. Gudergan (James Cook University) and published by Sage, the book covers several advanced methods and routines that users of partial least squares structural equation modeling (PLS-SEM) need to model and estimate the increasingly complex models that characterize today’s research in the social sciences. Apart from numerous extensions of the previous edition’s contents (e.g., higher-order models, covering observed and unobserved heterogeneity), the book has a new subchapter on the necessary condition analysis (NCA). The NCA complements the sufficiency logic implied by standard PLS-SEM analyses by identifying a model’s should-have conditions.

For more information, check: https://uk.sagepub.com/en-gb/eur/advanced-issues-in-partial-least-squares-structural-equation-modeling/book279526