ci.reliability

Computes a confidence interval for a population reliability coefficient
such as Cronbach's alpha or McDonald's omega using an estimate of the
reliability and its standard error. The standard error can be a robust
standard error or bootstrap standard error obtained from an SEM program.

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.reliability function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>rel</dt>
<dd>estimated reliability</dd>
<dt>se</dt>
<dd>standard error of reliability</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Confidence interval for a reliability coefficient — ci.reliability

<dl>

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


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


<dt>se</dt>
<dd>standard error of reliability</dd>


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

</dl>

ci.reliability: Confidence interval for a reliability coefficient

Description

Usage

Value

Arguments

Examples