Choose yes/no d′, a rate inverse, response counts or 2AFC proportion correct. Rates use an explicit proportion or percent unit; the count mode applies a disclosed loglinear correction.
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D Prime Formula
Under the equal-variance normal signal-detection model, the following formula calculates yes/no d′. Rates must be strictly between zero and one; endpoint counts can use the loglinear correction.
Variables:
- D' is the D Prime value
- Z(Hit Rate) is the Z score of the hit rate
- Z(False Alarm Rate) is the Z score of the false alarm rate
To calculate the D Prime value, first calculate the Z scores of the hit rate and the false alarm rate. Here Z is the inverse standard-normal cumulative distribution (quantile) of a response probability. Subtract the Z score of the false alarm rate from the Z score of the hit rate. The result is the D Prime value, which is a measure of signal detection ability.
What is a D Prime?
D Prime (d') is a statistical measure used in signal detection theory to quantify the ability to distinguish between signal and noise. Under the equal-variance normal model, it represents the separation between signal and noise means divided by their common standard deviation. A higher d' indicates a greater ability to differentiate signal from noise, while a lower d' suggests difficulty in distinguishing the two. It is commonly used in psychology, neuroscience, and other fields that involve decision making under uncertainty.
How to Calculate D Prime?
The following steps outline how to calculate the D Prime value using the formula: D' = Z(Hit Rate) - Z(False Alarm Rate).
- First, determine the Z score of the hit rate.
- Next, determine the Z score of the false alarm rate.
- Next, subtract the Z score of the false alarm rate from the Z score of the hit rate.
- Finally, calculate the D Prime value.
- After inserting the variables and calculating the result, check your answer with the calculator above.
Example Problem :
Use the following variables as an example problem to test your knowledge.
D' is the D Prime value
Z(Hit Rate) is the Z score of the hit rate
Z(False Alarm Rate) is the Z score of the false alarm rate
