ci.cronbach

Computes a confidence interval for a population Cronbach reliability.
The point estimate of Cronbach reliability assumes essentially
tau-equivalent measurements and the confidence interval assumes parallel
measurements.

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.cronbach function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>rel</dt>
<dd>estimated Cronbach reliability</dd>
<dt>r</dt>
<dd>number of measurements (items, raters, etc.)</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Confidence interval for a Cronbach reliability — ci.cronbach

<dl>

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


<dt>rel</dt>
<dd>estimated Cronbach reliability</dd>


<dt>r</dt>
<dd>number of measurements (items, raters, etc.)</dd>


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

</dl>

ci.cronbach: Confidence interval for a Cronbach reliability

Description

Usage

Value

Arguments

References

Examples