Partial Least Squares SEM (PLS-SEM)
Ideal for complex models, reflective/formative constructs, and non-normal data; includes 5,000-sample bootstrapping, blindfolding (Q²), PLSpredict, and IPMA.
Raw questionnaire data, item-to-construct mapping, and conceptual model diagram.
Outer model (loadings, alpha, CR, AVE, Fornell-Larcker, HTMT) and inner model (path betas, t-values, R², f², Q², SRMR) plus high-res model diagrams.