View Issue Details
| ID | Project | Category | View Status | Date Submitted | Last Update |
|---|---|---|---|---|---|
| 20576 | Feature requests | Survey editing | public | 2026-06-26 09:33 | 2026-06-26 09:35 |
| Reporter | Sally Ko | Assigned To | |||
| Priority | none | Severity | feature | ||
| Status | new | Resolution | open | ||
| Summary | 20576: Partial Scoring for Multiple Choice Questions | ||||
| Description | Currently, LimeSurvey calculates the score for Multiple Choice questions by summing the assessment values of all selected answer options. As a result, it is not possible to implement a scoring model that is commonly used in knowledge and competency tests. In many tests, only correctly selected answers should contribute to the score, while incorrectly selected answers should neither receive points nor cause a penalty. This behavior cannot currently be achieved using the standard Assessment feature. If incorrect answers are assigned an assessment value of 0, participants can simply select all answer options and still receive the maximum score. Assigning negative values to incorrect answers introduces a penalty-based scoring system, which is not appropriate for many assessment scenarios. | ||||
| Additional Information | Please add an additional scoring mode for Multiple Choice questions in which only correctly selected answers contribute to the score. The scoring logic should work as follows: Correct answer selected → predefined number of points A question contains five answer options: 3 correct answers Scoring: each correctly selected answer = 5 points Examples: Selected answers Score The resulting score should automatically be included in the existing Assessment total score. Benefits
Currently, this behavior can only be achieved through complex Equation workarounds or external calculations. Providing this scoring mode as a built-in feature would make it much easier to create knowledge and competency tests and would significantly extend LimeSurvey's assessment capabilities. Suggested Implementation
This would allow survey designers to choose the scoring model that best fits their use case while remaining fully backward compatible with existing surveys. | ||||
| Tags | assessments, question settings | ||||
| Bug heat | 0 | ||||
| Story point estimate | 0 | ||||
| Users affected % | 0 | ||||