signal

Computes the hit rate, false alarm rate, d-prime, threshold, and bias
for one participant (observer) in a Yes/No signal detection study.
An equal-variance Gausian model is assumed. The parameter estimates are
computed after adding .5 to the number of "Yes" responses in each condtion
(the signal and noise conditions) and adding 1 to the number of signal
trials and to the number of noise trails. In memory recognition studies,
the observers is first presented with set of words or images to study,
and is later presented with another set of words or images where some
items are from the first list (old items) and some items are new items.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

signal function

<dl><dt>f1</dt>
<dd>number of "Yes" responses in the stimulus (old item) trials</dd>
<dt>f2</dt>
<dd>number of "Yes" responses in the noise (new item) trials</dd>
<dt>n1</dt>
<dd>number of stimulus (or old item) trials</dd>
<dt>n2</dt>
<dd>number of noise (or new item) trials</dd></dl>

Arguments

Parameter estimates for a signal detection study — signal

<dl>

<dt>f1</dt>
<dd>number of "Yes" responses in the stimulus (old item) trials</dd>


<dt>f2</dt>
<dd>number of "Yes" responses in the noise (new item) trials</dd>


<dt>n1</dt>
<dd>number of stimulus (or old item) trials</dd>


<dt>n2</dt>
<dd>number of noise (or new item) trials</dd>

</dl>

signal: Parameter estimates for a signal detection study

Description

Usage

Value

Arguments

References

Examples