size.test.mann

Computes the sample size in each group (assuming equal sample sizes)
required for the Mann-Whitney test with desired power. A planning value
of the Mann-Whitney parameter is required. In a 2-group experiment, this
parameter is the proportion of members in the population with scores that
would be larger under treatment 1 than treatment 2. In a 2-group
nonexperiment where participants are sampled from two subpopulations of
sizes N1 and N2, the parameter is the proportion of all N1 x N2 pairs in
which a member from subpopulation 1 has a larger score than a member from
subpopulation 2.
For more details, see Section 2.14 of Bonett (2021, Volume 1)

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. 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 about these methods 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

size.test.mann function

<dl><dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>
<dt>pow</dt>
<dd>desired power</dd>
<dt>p</dt>
<dd>planning value of Mann-Whitney parameter</dd></dl>

Arguments

Sample size for a Mann-Whitney test — size.test.mann

<dl>

<dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>


<dt>pow</dt>
<dd>desired power</dd>


<dt>p</dt>
<dd>planning value of Mann-Whitney parameter</dd>

</dl>

size.test.mann: Sample size for a Mann-Whitney test

Description

Usage

Value

Arguments

References

Examples