Why analysts choose Statistico
Instead of isolated statistical outputs, Statistico keeps every stage of Factor Analysis connected — without leaving the analytical workflow.
From correlation matrix to statistical reasoning — this is Interactive Statistical Computing, not a sequence of static outputs.
What the module provides
One analysis. Six connected views.
Click a stage to inspect it — each view stays inside the same fitted solution, so there's no re-running the analysis to move between them.
factor-analysis-suitability.webpSuitability
KMO and Bartlett's test give an adequacy verdict before extraction even runs, with the correlation matrix and determinant available for a first look at redundancy between variables.
factor-analysis-extraction.webpExtraction
The eigenvalue table and an interactive scree plot pair with Kaiser-criterion retention guidance, so how many factors to keep is a visible decision, not a hidden default.
factor-analysis-rotation.webpRotation
Switch between Varimax, Promax, and Oblimin and watch the loadings matrix and heatmap update, with cross-loading counts and a factor correlation (Phi) matrix when rotation is oblique.
factor-analysis-interpretation.webpInterpretation
Each retained factor is shown with its defining variables, variance explained, and composite reliability (Ω), plus an AI-suggested name badge to test against your own theory. Cross-loading variables without a clear home are flagged separately, and an expandable AI Details panel adds the full naming rationale and plain-language model summary — see caution below.
factor-analysis-diagnostics.webpDiagnostics
Communalities, uniqueness, an RMSR-based fit index, and Heywood-case flags surface whether the rotated solution is well-behaved before it gets used further.
factor-analysis-scores.webpScores
Case-wise factor scores, a score distribution histogram, and a two-factor score map with outlier detection connect the rotated solution back to individual cases.
Rotation is part of the model workflow
The rotated loadings matrix sits next to a switchable rotation method and an adjustable loading threshold — changing either updates the heatmap and cross-loading count together, making the structure decision visible rather than fixed.
factor-analysis-rotation.webpAssess adequacy, fit, and solution quality
Suitability and fit are reported through several complementary measures, and diagnostic views flag variables worth a second look.
Move from rotated loadings to case-level scores
Regression-method factor scores connect back to the rotated solution, so the score table, score distribution, and two-factor score map stay tied to the same fitted model — no re-running the analysis to move between them.
Naming factors is part of the analytical workflow
The Interpretation view pairs each factor's defining variables, variance explained, and composite reliability with an AI-suggested name — and an expandable AI Details panel adds a plain-language summary of structure, variance, and model quality, drawing on the same fit statistics 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.