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SEM SIMULATION LAB · FIXED FREE SAMPLE

Generate simulated SEM data

Draft a SEM model and download one fixed 100-row sample for learning and testing. Custom data generation belongs to the paid plan, which is not open yet.

These are simulated data. Your coefficients are data-generating parameters; they do not guarantee estimated coefficients, reliability or p-values in any particular sample.

Model editing and sample viewing take place on your device. Draft settings and data rows are not sent to a server.

Free: one fixed 100-row sample · Draft model: 6 constructs, 30 indicators

Simulation scenario

These settings are saved in your draft only. Changing the seed, sample size or model does not generate new free data; downloads always contain the same 100 sample rows. MCAR missingness applies to factor indicators. Binary group codes and demographic variables remain complete.

Exogenous factors and binary groups are sampled independently. Demographic variables are also sampled independently and do not affect the model.

Model and measurement

3/6 · 7/30 items

Select a construct on the left to edit its name, indicator count and item generation. Specify paths and moderation separately below.

Model diagram

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Drag a construct to change its position. You can also select it and use the arrow keys; hold Shift for larger steps. Scroll inside the frame to view the full diagram.

Model specification diagram SEM simulationTrustTrust3 indicators · reflectiveProduct groupProduct group1 indicator · reflectiveSatisfactionSatisfaction3 indicators · reflectiveH2 · B = 0.200H1 · B = 0.400M1 · B = 0.300 · moderation

Solid paths: hypotheses · Brown dashed paths: moderation

Diagram notation

Model specification: labels identify hypotheses; estimated coefficients are not shown.

This diagram is your draft design. B labels are proposed parameters, not estimates. Editing the diagram does not change the free sample dataset.

Simulated paths

B is an unstandardized coefficient in the data-generating equation. Structural noise is added separately; outcomes are not rescaled to force a coefficient.

H1: Trust → Satisfaction
H2: Product group → Satisfaction

Explicit moderation

Each moderation belongs to one path. Declare both main effects on the outcome before adding moderation. The trial does not create interactions with other paths automatically.

M1: Product group · Trust → Satisfaction

Simulated demographics

Positive weights are normalized to sampling probabilities. Groups are sampled independently; observed proportions may differ from the specified probabilities.

Free sample

This is a fixed example dataset, not data generated from the settings you are editing. Opening or downloading it again returns the same 100 rows; combining downloads only repeats those sample rows.

Custom data generation is part of the paid plan and is not open yet. You can still edit and save your draft model and download its SVG diagram.

Price estimate

One fixed 100-row sample is free to download. The estimates below are for custom data in the paid plan, which is not open yet.

Enter the number of simulated observations to estimate the price of one dataset.

Estimated total · per dataset

USD 20.00
Base price · up to 300 observations
USD 20.00
Each observation above 300
USD 0.10
Additional-observation fee
Included in the base price

This is a planned commercial price estimate, not a payment order or confirmation of a supported generation limit. Observations are simulated records, not recruited survey participants.

One charge applies to one successfully generated dataset. Downloading that same dataset again does not incur another charge.

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