Signal Detection Theory (SDT)

Burrton Woodruff
Butler University


SDT Values

Description

P(FA)
P("NS"|N)

0.106
[Empirical Value]

Probability of False Alarm outcome.
Probability of saying "Signal" when there was no signal.

P(CD)
P("NS"|NS)

0.690
[Empirical Value]

Probability of Correct Detection Trial.
Probability of saying "Signal" when the signal did indeed occur.

z(FA)

1.250
[z-table lookup]

Number of z-score units from the modal response of the "Noise Only" distribution to the response criterion.

z(CD)

-0.500
[z-table lookup]

Number of z-score units from the modal response of the "Noise + Signal" distribution to the response criterion.

f(ZFA)

0.183
[z-table lookup]

Height of the "Noise Only" distribution at the location of the response criterion. Given that a particular strength of evidence occurred, what is the relative likelihood it was produced by "Noise Only" condition.

f(ZCD)

0.32
[z-table lookup]

Height of the "Noise + Signal" distribution at the response criterion. Given that a particular strength of evidence occurred, what is the relative likelihood it was produced by the "Noise + Signal" condition.

b

1.928
[Calculate]

Response Bias.
Minimum ratio of likelihoods to respond by saying "Signal"

d'

1.750
[Calculate]

Sensitivity. d' = z(FA) - z(CD) = 1.250 - (-0.500) = 1.750
How distinct the two distributions are for this subject.

P(Miss)
P("N"|NS)

0.310
[Calculate]

1- P("NS"|N) =1.000 - 0.690 = 0.310

P(Correct Rejection)
P("N"|N)

0.894
[Calculate]

1- P("N"|N) = 1.000 - 0.106 = 0.894

Note: The resemblance of "f" and "f(z)" as Y-axis labels can be misleading. "f" stands for "frequency" and indicates the Y-axis counts the number of times each score occurred. "f(z)" is read as "f of z" and stands for the mathematical function which relates the number of standard deviations an observation is from the mean to the relative height of the normal curve.


©1996 Burrton Woodruff