size.ci.lc.mean.ws

Computes the sample size required to estimate a linear contrast of
population means with desired confidence interval precision in a
within-subjects design. Set the variance planning value to the
largest value within a plausible range for a conservatively large
sample size. Set the Pearson 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.ci.lc.mean.ws function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>var</dt>
<dd>planning value of average variance of the measurements</dd>
<dt>cor</dt>
<dd>planning value of average correlation between measurements</dd>
<dt>w</dt>
<dd>desired confidence interval width</dd>
<dt>q</dt>
<dd>vector of within-subjects contrast coefficients</dd></dl>

Arguments

Sample size for a within-subjects mean linear contrast confidence interval — size.ci.lc.mean.ws

<dl>

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


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


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


<dt>w</dt>
<dd>desired confidence interval width</dd>


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

</dl>

size.ci.lc.mean.ws: Sample size for a within-subjects mean linear contrast confidence interval

Description

Usage

Value

Arguments

Examples