ci.sign

Computes an adjusted Wald interval for the population proportion of
quantitative scores that are greater than the null hypothesis value
of the population median in a one-sample sign test. This proportion
is a measure of effect size that can be reported along with the
sign test.

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

ci.sign function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>y</dt>
<dd>vector of y scores</dd>
<dt>h</dt>
<dd>null hypothesis value for population median</dd></dl>

Arguments

Confidence interval for the parameter of the one-sample sign test — ci.sign

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>y</dt>
<dd>vector of y scores</dd>


<dt>h</dt>
<dd>null hypothesis value for population median</dd>

</dl>

ci.sign: Confidence interval for the parameter of the one-sample sign test

Description

Usage

Value

Arguments

References

Examples