Structural Equation Modeling

SEMSTUDIO

Upload data, build your model, run PLS/CB-SEM, and export research reports.

1 Upload data

Start here — CSV, Excel, or SPSS. Sample files: sample datasets (loyalty, engagement, TAM, brand, e-learning, service quality). MGA needs a group column (e.g. Segment/Country); multilevel needs a cluster id (e.g. Team/Class). See the sample-data README for model paths.

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Drop your dataset or click to browse

.csv · .xlsx · .sav · up to local session only

No file selected

Cleaning report

Upload a file to see row counts, missing values, and column types.

Data preview

Preview appears after upload.

2 Build model

Circles are constructs. Yellow boxes are indicators, already linked to their construct. Draw a path between constructs with Connect or the right-hand dot. Click a construct to assign indicators. Ctrl+Z undoes. After upload, a matching sample is applied when the file is recognized.

Text model (auto-synced)

3 Run analysis

Choose algorithm, run SEM, then explore advanced tools.

SEM extensions

Exploratory

Advanced parameters (moderation, MGA, HOC, NCA, clusters…)

Export

4 Results

Path diagram, tables, and export-ready output — format depends on the analysis you ran.

Path diagram

Run SEM to see constructs, indicators, loadings, paths, and R².
Run SEM, EFA, bootstrap, or correlations to see formatted tables.