sensitivity: Sensitivity

In chrplr/dprime: Misc. useful functions for experimental psychology.

Sensitivity

Description

Computes the sensitivity measure of the signal detection theory

Usage

sensitivity(hit,fa,type="yes.no")

Arguments

hit	hit rates
fa	false alarm rates

Details

Return a vector containing d' values for each hit and fa rate pairs.

The optional argument "design" can take one of the following values: "yes.no" (default), "2AFC" (2 alternative forced-choice), "same.different.fixed", "same.different.roving", "ABX.fixed", "ABX.roving", "reminder.fixed", "reminder.roving", "aprime", refering to the different SDT models described in Macmillan and Creelman (1991).

Note

Reference: MacMillan and Creelman (1991) Signal Detection Theory: a user guide. Cambridge University Press

See Also

bias.

Examples

sensitivity(.8,.2) # return d' for a Yes.No experiment
sensitivity(.8,.2,type="aprime") # return A'
sensitivity(.7,.1) 
sensitivity(.7,.1,type="2AFC")
sensitivity(.7,.1,type="same.diff.ind.obs")
sensitivity(.7,.1,type="same.diff")

chrplr/dprime documentation built on June 15, 2022, 11:59 a.m.