Why analysts choose Statistico
Instead of isolated statistical outputs, Statistico keeps every stage of Mixed Models connected — without leaving the analytical workflow.
From multilevel structure to statistical reasoning — this is Interactive Statistical Computing, not a sequence of static outputs.
What the module provides
One multilevel model. Connected views.
Click a stage to inspect it — each view stays inside the same fitted mixed model, so there's no re-running the analysis to move between them.
mixed-models-overview.webpOverview
Explain ICC magnitude and convergence directly in the opening narrative.
mixed-models-effects.webpModel Effects
Separate fixed effects, random effects, variance components, and BLUPs.
mixed-models-means.webpMarginal Means
Compare estimated marginal means and pairwise contrasts after model adjustment.
mixed-models-diagnostics.webpDiagnostics
Review residual and model-quality diagnostics for the multilevel fit.
mixed-models-advanced.webpAdvanced
Inspect likelihood-ratio tests, AIC/BIC, and marginal versus conditional fit.
mixed-models-ai.webpAI Interpretation
Plain-language summary of structure, ICC, and next checks — see the caution below.
Fixed and random effects stay in one model story
Adjusting structure updates fixed effects, random effects, and fit statistics together, so multilevel decisions remain visible rather than buried in separate printouts.
mixed-models-effects.webpAssess clustering, fit, and model comparison
ICC narrative, likelihood-ratio tests, and information criteria sit alongside effect tables so model choice is inspectable.
Move from multilevel fit to marginal means
Estimated marginal means and pairwise contrasts stay tied to the same fitted structure, so adjusted comparisons do not restart the workflow.
Interpretation within the analytical workflow
Statistico's AI-assisted assessment summarizes clustering, fixed effects, and fit statistics from the same multilevel output already in the workspace.
Built for analysts who already know the method
Excel remains the working data environment.
Statistical outputs remain visible and inspectable.
Interaction supports analysis rather than hiding it.