Review by Choice Review
Structural equation modelling (SEM) is group of methods that can examine sets of relationships between variables through sets of equations. Composite-based SEM (CSEM) is the subgroup of SEM that uses composites (sets of indicators) to test theory and identify latent or emerging variables. This technique has applications across the social sciences disciplines, and in this work, Henseler (Univ. of Twente, Netherlands) makes a complex technique accessible. The book is a natural fit for researchers or doctoral students who need to support individual research projects or may serve as a textbook for part of a graduate-level course on research methods that covers SEM. Henseler provides an overview of SEM and explains the importance of CSEM for evaluating theory, then leads readers through implementing CSEM following a series of steps, from model creation, identification, and estimation to model assessment. Finally, Henseler presents some specific use cases and advanced techniques for using CSEM: these include confirmatory composite analysis, mediation analysis, second-order constructs, analysis of interaction effects, and visualizing CSEM output using importance-performance analysis. In addition to providing the appropriate theoretical framework, the book provides step-by-step tutorials for conducting a CSEM analysis with a link to downloadable software (ADANCO) and instructions for implementation using the cSEM software package for R. Summing Up: Recommended. Graduate students and faculty. --Jay Forrest, Georgia Institute of Technology
Copyright American Library Association, used with permission.
Review by Choice Review
