Here we calculate Criterion value (Yc) and Discriminant Index (d') for two different signal detection task as
Task 1 | Signal | |
Present | Absent | |
Yes | 475 | 30 |
No | 25 | 470 |
p(Hit) = 475/505 = 0.94 | p(FA) = 1-0.94 = 0.06 | |
z(Hit) = z(0.94) = 1.56 | z(FA) = z(0.06) = -3.26 |
Let,
Discriminat Value = d' = z(HIt) - z(FA) = 1.56 + 3.26 = 4.82
And Criterion Value = Yc = -[z(Hit) + z(FA)] / 2 = -[1.56 - 3.26] / 2 = 1.7/2 = 0.85 ....................... (1)
Similarly
Task 2 | Signal | |
Present | Absent | |
Yes | 305 | 200 |
No | 195 | 300 |
p(Hit) = 305/505 = 0.6 | p(FA) = 1-0.6 = 0.4 | |
z(Hit) = z(0.6) = 0.26 | z(FA) = z(0.4) = -0.26 |
Let,
Discriminat Value = d' = z(HIt) - z(FA) = 0.26 + 0.26 = 0.52
And Criterion Value = Yc = -[z(Hit) + z(FA)] / 2 = -[0.26 - 0.26] / 2 = 0 ............................ (2)
From equation (1) and (2) we conclude that,
When C=0 the criterion is midway between the S and N distributions. Here the task 2 is said to be ‘unbiassed’.
And When C > 0 The task 1st is biased in favour of ‘No’ responses.
7) Following table represents the performance data of an operator for two signal detection tasks. Calculate...
6) Performance data collected during a working day for two operators working on different luggage scanners at an airport is presented in the following tables Operator 1 Response Signal (Weapon) Noise (No Weapon) Yes Weapon No Weapon 1800 200 1500 500 Operator 2 Response Signal (Weapon) Noise (No Weapon) Yes Weapon No Weapon 600 1400 60 1940 Using signal detection theory, calculate the criterion value (Yc) and Discriminability index (d') for each operator (12.5 points) Based on the relationship between...