Structural Equation Modeling with PLS-SEM
Partial Least Squares SEM estimates relationships among latent constructs while assessing measurement quality; suited to complex models and moderate samples.
Survey research with multi-construct models, prediction, mediation and moderation.
Questionnaire data in Excel or SPSS, the instrument with construct assignments, conceptual model and hypotheses.
Measurement model (loadings, alpha, CR, AVE, Fornell-Larcker, HTMT), structural model (bootstrap paths, R², f², Q²), mediation/moderation, ready tables and figures.
Project file, Do-file / R & Python scripts — 100% reproducible results
Editable Word file, ready for chapter 4 or an ISI/Scopus paper
Path models, causal plots, volatility & Pareto — 300 DPI / SVG
Full statistical interpretation + support until defense or acceptance
Common questions
My sample is small; is PLS-SEM suitable?
It depends on model structure and path count; send your data and model for a pre-check.
What is the minimum output for a defense?
Measurement and structural tables, the model figure with coefficients, and the bootstrap report.
Start a chat
Send your task details in the first message; data review and the quote happen in the same chat.