ci.lc.stdmean.ws

Computes confidence intervals for two types of population standardized
linear contrast of means (unweighted standardizer and level 1 standardizer)
in a within-subjects design. Equality of variances is not assumed, but the
correlations among the repeated measures are assumed to be approximately
equal.

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.lc.stdmean.ws function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of estimated means for levels of within-subjects factor</dd>
<dt>sd</dt>
<dd>vector of estimated standard deviations for levels of within-subjects factor</dd>
<dt>cor</dt>
<dd>average estimated correlation of all measurement pairs</dd>
<dt>n</dt>
<dd>sample size</dd>
<dt>q</dt>
<dd>vector of within-subjects contrast coefficients</dd></dl>

Arguments

Confidence interval for a standardized linear contrast of means in a
within-subjects design — ci.lc.stdmean.ws

<dl>

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


<dt>m</dt>
<dd>vector of estimated means for levels of within-subjects factor</dd>


<dt>sd</dt>
<dd>vector of estimated standard deviations for levels of within-subjects factor</dd>


<dt>cor</dt>
<dd>average estimated correlation of all measurement pairs</dd>


<dt>n</dt>
<dd>sample size</dd>


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

</dl>

ci.lc.stdmean.ws: Confidence interval for a standardized linear contrast of means in a within-subjects design

Description

Usage

Value

Arguments

References

Examples