The frequency of true positives,false negatives,false positives,and true negatives allow us to determine if participants have
A)the correct signal-to-noise ratio.
B)any response biases.
C)detected a just noticeable difference.
D)an absolute threshold for the stimulus.

Question

Quizplus · Accepted Answer

The frequency of true positives, false negatives, false positives, and true negatives in a signal detection task can help us determine if there are any response biases present. Response biases are systematic tendencies for a participant to respond in a certain way, regardless of the presence or absence of the signal, and can affect the accuracy of their detection. By analyzing the frequencies of these different responses, we can identify if any bias is present and account for it in our analyses. Therefore, choice B is the best option as it correctly identifies the role of response biases in signal detection.

The Frequency of True Positives,false Negatives,false Positives,and True Negatives Allow