Categorical moderator analysis
Purpose
Assess whether the relationship between X and Y varies with moderator W.
Data and assumptions
This release supports one continuous X, one moderator and a continuous Y, with optional covariates. Main effects and interactions enter together. Continuous variables may be centered.
Configure this method
W is categorical. Choose its reference group. Interaction coefficients are slope differences from that reference; the conditional-effects table gives each group-specific X slope and interval.
Variables
| Control | Input |
|---|---|
| Outcome Y | Select one variable |
| Predictors X | Select variables |
| Moderator Variable | Select one variable |
| Control Variables | Select variables |
| Treat as categorical | Select variables |
| Reference categories | Choose categorical reference levels |
Analysis settings
| Parameter | Choices | Default |
|---|---|---|
| Center continuous variables | Set as needed | Enabled |
| Standard error type | Conventional standard errors, HC1 robust standard errors, HC3 robust standard errors | standard |
Analysis parameters remain visible in the main configuration area. Advanced formatting contains only the table title and numeric decimals. Methods that calculate intervals also show the significance level; 0.05 corresponds to 95% intervals.
Read the results
Test the interaction before interpreting conditional effects and their confidence intervals. Significance in one group but not another does not itself establish a slope difference. Plotted lines describe the fitted relationship under the stated conditions.
Workflow and exports
- Upload the dataset and choose the method from the sidebar or search.
- Select the variables above, set the design-specific options, then run the analysis.
- Inspect the paper-style result. Reconfigure from the result area, or open raw output for diagnostics and sample details.
- Rename and keep result tabs as needed. Export Word, Excel, CSV or TXT; batch export can include the selected AI interpretation. Word retains figures. AI text should be checked against the estimates.