Multiple-response analysis
Purpose
Describe how respondents are distributed across response categories.
Data and assumptions
Use one row per respondent. Missing answers and unselected options have different meanings.
Configure this method
For binary coding, use one column per option and set selected/unselected codes. For slot coding, use one column per selection position; duplicate selections by one person count once. The valid-case definition is recorded for each mode.
Variables
| Control | Input |
|---|---|
| Analysis variables | Select variables |
Analysis settings
| Parameter | Choices | Default |
|---|---|---|
| Multiple-response coding | One column per option, One column per response slot | binary |
| Selected code | Set as needed | 1 |
| Unselected code | Set as needed | 0 |
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
Check valid respondents and denominators before reporting counts and percentages. Multiple-response case percentages may sum to more than 100%.
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.