size.supinf.mean.ps

Computes the sample size required to perform a superiority or noninferiority
test for the difference in population means with desired power in a
paired-samples design. For a superiority test, specify the upper limit (h)
for the range of practical equivalence and specify an effect size (es) such
that es &gt; h. For a noninferiority test, specify the lower limit (-h) for
the range of practical equivalence and specify an effect size such that
es &gt; -h. Set the Pearson correlation planning value to the smallest value
within a plausible range, and set the variance planning value to the largest
value within a plausible range for a conservatively large sample size.

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

size.supinf.mean.ps function

<dl><dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>
<dt>pow</dt>
<dd>desired power</dd>
<dt>var</dt>
<dd>planning value of average variance of the two measurements</dd>
<dt>es</dt>
<dd>planning value of mean difference</dd>
<dt>cor</dt>
<dd>planning value of the correlation between measurements</dd>
<dt>h</dt>
<dd>upper or lower limit for range of practical equivalence</dd></dl>

Arguments

Sample size for a paired-samples mean superiority or noninferiority test — size.supinf.mean.ps

<dl>

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


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


<dt>var</dt>
<dd>planning value of average variance of the two measurements</dd>


<dt>es</dt>
<dd>planning value of mean difference</dd>


<dt>cor</dt>
<dd>planning value of the correlation between measurements</dd>


<dt>h</dt>
<dd>upper or lower limit for range of practical equivalence</dd>

</dl>

size.supinf.mean.ps: Sample size for a paired-samples mean superiority or noninferiority test

Description

Usage

Value

Arguments

Examples