The receiver-operating characteristic (ROC) is a fundamental plot in
signal detection theory. A ROC is essentially a scatterplot that shows
the relationship between false alarm rates on the x-axis, and hit
rates on the y-axis. ROCs describe the relationship between the
underlying Signal Absent and Signal Present distributions.
Exercise 6: ROC
To see how ROCs are formed, you need to look at both the Normal
Distributions and the ROC panels (the leftmost and center
panels in the applet). On the ROC panel, there is a yellow dot on the
ROC curve which is connected to the Criterion box on the Normal
Distributions panel. This point marks an observer's hit rate and
false alarm rate based upon this individual's current criterion.
a. Move d' from 0 to 3, and note how the ROC changes. Describe how
the ROC reflects sensitivity.
b. Compare the ROCs generated by Anita and Bob. Anita had a false alarm
rate = .3 and hit rate = .9 while these rates for Bob were .09 and .68,
respectively.
c. Chris has the same hit rate as Anita (.90) and the same false alarm
rate as Bob (.09). Find d' and criterion for Chris. Compare the
performance of Chris to that of Anita and Bob (recall that Anita and Bob
both had a d' = 1.81 and criterion of .52 and 1.34, respectively).