Signal Detection Theory

Calculate sensitivity index and bias based on signal detection theory. The correction for extreme proportions of zero and one is the "log-linear" rule recommended by Hautus (1995).

Usage

calc_sdt(
  data,
  type_signal,
  ...,
  by = NULL,
  name_acc = "acc",
  name_type = "type"
)

Arguments

data

Raw data of class data.frame.

type_signal

The type of signal stimuli. It should be one of the values in the name_type column of data.

...

For future extensions. Should be empty.

by

The column name(s) in data used to be grouped by. If set to NULL, all data will be treated as from one subject.

name_acc

The column name of the data input whose values are user's correctness, in which is a numeric vector so coded that 1 means scoring correct, 0 means scoring incorrect, and that -1 means no response is made.

name_type

The column name of the data input whose values are the stimuli types. Based on type_signal, the other types of stimuli will be treated as non-signal stimuli.

Value

A tibble contains sensitivity index and bias (and other counts measures)