When applying the partial least squares structural equation modeling (PLSSEM) method, the assumption that the data stem from a single homogeneous population is often unrealistic. For the full set of data, unobserved heterogeneity in the PLS path model estimates may result in misleading...

Part I Methodology -- Chapter 1 Empirical Validation of the 10-Times Rule for SEM -- Chapter 2 Missing Values in RGCCA: Algorithms and Comparisons -- Chapter 3 Comparing Local vs Global Clustering with FIMIX-PLS. Application to Marketing -- Chapter 4 Partial Least Squares Structural Equation...

"Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. The book combines simple explanations of complex statistical concepts with examples and...