Grid-Question Score
Learn how the Grid-Question Score identifies low-quality response patterns in grid questions.
What is the Grid-Question Score?
The GQS helps assess data quality in grid questions (also known as matrix questions). It uses machine learning and a defined set of pattern-detection rules to evaluate how respondents interact with grid items.
How is the Grid-Question Score calculated?
Each grid question is scored individually based on the respondent’s answer pattern. The system compares these patterns to known low-quality behaviors, such as:
- Straightlining (selecting the same option across all items)
- Zigzagging (alternating responses in a mechanical or patterned way)
The more closely a respondent’s answers match these behaviors, the lower their score. All individual grid scores are then aggregated into one overall GQS per respondent.
To detect response patterns beyond straightlining, grid question data must be submitted to the API in the original display order shown to the respondent.
What Patterns Does the GQS Detect?
ReDem currently analyzes the following behavioral patterns in grid responses: