PLS-SEM
A PLS-SEM analysis that meets current journal expectations, with complete working files and results reported to standard.
What this service covers
Sometimes the model is complex, the sample is modest, the data is not normally distributed, or the aim is prediction rather than confirmation. That is where PLS-SEM comes in — and increasingly, it is what management and social-science journals expect to see. We help you apply it correctly and report it to current standards.
Justify the choice
We assess whether PLS-SEM suits your study better than AMOS, and give you the justification in writing for your methodology chapter.
Measurement model
We build the model in SmartPLS and evaluate the measurement model — indicator loadings, composite reliability, AVE and HTMT — with any weak items identified and handled transparently.
Structural model
We evaluate the structural model: path coefficients, t-values and p-values from bootstrapping, R², f², Q² and PLSpredict.
Advanced analyses
We handle mediation, moderation, higher-order constructs, multi-group analysis and IPMA where your model requires them.
Reported to standard
We report everything following the latest PLS-SEM reporting guidelines, so a reviewer finds nothing missing.
Working files
You receive the SmartPLS project file, the model diagrams, formatted results tables and a hypothesis summary.
A clear, guided process
- 01
Assess fit
We assess whether PLS-SEM suits your study better than AMOS, and give you the justification in writing for your methodology chapter.
- 02
Measurement model
We build the model in SmartPLS and evaluate indicator loadings, composite reliability, AVE and HTMT — with any weak items handled transparently.
- 03
Structural model
We evaluate path coefficients, t-values and p-values from bootstrapping, R², f², Q² and PLSpredict.
- 04
Advanced analyses
We handle mediation, moderation, higher-order constructs, multi-group analysis and IPMA where your model requires them.
- 05
Report & deliver
We report everything to the latest PLS-SEM guidelines and hand over the SmartPLS project file, diagrams, tables and a hypothesis summary.
