09-02-2020, 08:35 AM
You can monitor a participant's response accuracy by adding the correct answer for each trial to your Data Source and then comparing it to the participant's actual response during the experiment.
For a detailed, step-by-step walkthrough of this process, please see the "Picture-Response" example in our Video Tutorials.
General Implementation Steps
For a detailed, step-by-step walkthrough of this process, please see the "Picture-Response" example in our Video Tutorials.
General Implementation Steps
- Update Your Data Source: Add a new column to your project's Data Source. In this column, enter the expected (correct) response for each trial.
- Collect the Participant's Response: In your trial sequence, add a Trigger node (e.g., Keyboard, Mouse, Button Box) to record the participant's response.
- Compare Responses: Immediately after the Trigger node, add a Conditional node. Configure it to compare the participant's actual response with the expected response from the Data Source.
- Mark Trial Accuracy: Following the Conditional node, use an Update Attribute node to set an Accuracy Variable for the trial. For example, you can set its value to 1 for a correct response and 0 for an incorrect one.