size.test.lc.mean.ws

Computes the sample size required to test a linear contrast of population
means with desired power in a within-subjects design. Set the average variance
planning value to the largest value within a plausible range for a
conservatively large sample size. Set the average correlation planning value to
the smallest 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.test.lc.mean.ws 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 measurements</dd>
<dt>es</dt>
<dd>planning value of linear contrast of means</dd>
<dt>cor</dt>
<dd>planning value of average correlation between measurements</dd>
<dt>q</dt>
<dd>vector of with-subjects contrast coefficients</dd></dl>

Arguments

Sample size for a test of a within-subjects mean linear contrast — size.test.lc.mean.ws

<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 measurements</dd>


<dt>es</dt>
<dd>planning value of linear contrast of means</dd>


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


<dt>q</dt>
<dd>vector of with-subjects contrast coefficients</dd>

</dl>

size.test.lc.mean.ws: Sample size for a test of a within-subjects mean linear contrast

Description

Usage

Value

Arguments

Examples