ci.median.ps

Computes a distribution-free confidence interval for a difference of
population medians in a paired-samples design. This function also computes
the standard error of each median and the covariance between the two
estimated medians. Tied scores within each measurement are assumed to be
rare.

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.median.ps function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>y1</dt>
<dd>vector of scores for measurement 1</dd>
<dt>y2</dt>
<dd>vector of scores for measurement 2 (paired with y1)</dd></dl>

Arguments

Confidence interval for a paired-samples median difference — ci.median.ps

<dl>

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


<dt>y1</dt>
<dd>vector of scores for measurement 1</dd>


<dt>y2</dt>
<dd>vector of scores for measurement 2 (paired with y1)</dd>

</dl>

ci.median.ps: Confidence interval for a paired-samples median difference

Description

Usage

Value

Arguments

References

Examples