How statory works

① At the front door, upload a file or type what you want to know.

② Tidy the data — prepare once and every later analysis reuses that state (see the "Preparation" chapter below).

③ If your data is a multi-item scale, check its factors — only when needed (see the "Factor analysis" chapter below).

④ Pick an analysis — get a recommendation if unsure.

⑤ Tables, interpretation, and charts appear together.

① Your data is diagnosed automatically — missing values, outliers, reverse-coded items are flagged with suggested fixes. You decide what to apply.

② Create new variables (means, sums…), recode or bin values, and filter down to the cases you want to analyze.

③ The "Preparation status" panel shows diagnosis, scale validation, and how many derived variables you made. Save right there to store the whole prepared state.

④ Once prepared and saved, open it again from any analysis — via "My analyses" or "Open saved data" on the analysis screen. No re-upload needed.

① With many items, find the few themes (factors) behind them. You can always choose the number of factors and the rotation yourself — auto-suggestions are just a shortcut.

② When confirming the structure, pick how factors are composed — item means, or factor scores (regression, Bartlett, …). The choice is yours.

③ Move on to reliability and the items of the factor you just confirmed are offered as a suggestion — click to fill, adjust if needed, run. No re-picking items one by one.

④ The same factor is offered when creating a composite variable, and the label keeps its source and reliability — e.g. "Engagement (mean of Q1_1–Q1_5, α=.91)".

⑤ The composite appears right away in the variable list of later analyses (regression, group comparisons…). To verify the structure and go all the way to causal paths, you can run the measurement–structure bundle (EFA → CFA → SEM) in one go.