FSSmartFSQCAFuzzy-set QCA · DrAIStudio ◧ All tools 📖 Manual
◇ Configurational analysis

Fuzzy-set QCA, from raw data to solutions.

Calibrate your conditions, build the truth table, test necessity, and get the complex, parsimonious and intermediate solutions — with consistency, coverage, Venn, pathway maps and beautiful XY sufficiency plots. Everything runs in your browser; your data never leaves your device.

1

Your data

Paste a CSV (first row = column names; first column can be a case ID).

Conditions (causal factors)
◐

Likert items → constructs

We spotted repeated survey items (e.g. JS1, JS2, JS3). Group them into constructs — each construct becomes one variable you can calibrate for fsQCA. Verify the groups below, then apply.

2

Calibration

Turn raw values into fuzzy membership (0–1). Anchors are auto-set from your data — edit freely.

Direct = 3 anchors (full-out 0.05 · crossover 0.5 · full-in 0.95)Crisp = one threshold (0/1)Already 0–1 = pass through
3

Analysis settings

Thresholds for the truth table, and (optional) theoretical expectations for the intermediate solution.

Directional expectations — for the intermediate solution (which state of each condition you expect to lead to the outcome)