AMOS
A validated measurement model, a tested structural model, a publication-ready path diagram, and results you can defend line by line.
What this service covers
If your study involves latent constructs and a hypothesised model — mediation, multiple paths, a measurement model to validate — a supervisor or reviewer may have said "use SEM," which usually means AMOS. It is a powerful tool with a steep learning curve, and small setup errors produce results that look fine but are wrong.
Is CB-SEM justified
We start by checking whether your sample size, data distribution and model justify covariance-based SEM — and tell you if they do not.
Measurement model
We build the measurement model first: confirmatory factor analysis, then reliability, convergent validity (AVE, CR) and discriminant validity, with problem items flagged and options explained.
Structural model
We run the structural model, report the fit indices (χ²/df, CFI, TLI, RMSEA, SRMR) and interpret each path coefficient.
Mediation & moderation
We test mediation and moderation with bootstrapping, reporting direct, indirect and total effects.
Diagram & tables
You receive the AMOS path diagram with standardised estimates, the full results tables, and a hypothesis-by-hypothesis summary.
The model is yours
We explain each result to you so that, in the viva, the model is yours and not ours.
A clear, guided process
- 01
Check suitability
We check whether your sample size, data distribution and model justify covariance-based SEM — and tell you if they do not.
- 02
Measurement model
We build the measurement model first: confirmatory factor analysis, then reliability, convergent validity (AVE, CR) and discriminant validity, with problem items flagged.
- 03
Structural model
We run the structural model, report the fit indices (χ²/df, CFI, TLI, RMSEA, SRMR) and interpret each path coefficient.
- 04
Test effects
We test mediation and moderation with bootstrapping, reporting direct, indirect and total effects.
- 05
Deliver & explain
You receive the path diagram, results tables and a hypothesis-by-hypothesis summary, and we explain each result so the model is yours in the viva.
