bootstrap

Bootstrap se and CI for alpha and omega.

Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Since Version 0.5, the bootstrap confidence intervals were added.

Zhiyong Zhang

coefficientalpha

Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data

bootstrap function

<dl> <dt>y</dt>
<dd>Data</dd> <dt>type</dt>
<dd><code>omega</code>: coefficient omega. Otherwise, coefficient alpha.</dd> <dt>alpha</dt>
<dd>Confidence level.</dd> <dt>nboot</dt>
<dd>Number of bootstrap samples to use</dd> <dt>ci</dt>
<dd><code>bc</code>: Bias-corrected CI. Otherwise, the percentile CI is used.</dd> <dt>plot</dt>
<dd>Whether to plot the bootstrap density.</dd> <dt>varphi</dt>
<dd>Downweight rate</dd> <dt>complete</dt>
<dd>Calculate alpha/omega only based on complete data (listwise deletion)</dd><dt>auxiliary</dt>
<dd>Provide a matrix or data frame of auxiliary variables for missing data analysis.</dd><dt>silent</dt>
<dd>Whether to print information of the analysis.</dd></dl>

Arguments

Author

Bootstrap se and CI for alpha and omega — bootstrap

<dl>

 <dt>y</dt>
<dd>Data</dd>

 <dt>type</dt>
<dd><code>omega</code>: coefficient omega. Otherwise, coefficient alpha.</dd>

 <dt>alpha</dt>
<dd>Confidence level.</dd>

 <dt>nboot</dt>
<dd>Number of bootstrap samples to use</dd>

 <dt>ci</dt>
<dd><code>bc</code>: Bias-corrected CI. Otherwise, the percentile CI is used.</dd>

 <dt>plot</dt>
<dd>Whether to plot the bootstrap density.</dd>

 <dt>varphi</dt>
<dd>Downweight rate</dd>

 <dt>complete</dt>
<dd>Calculate alpha/omega only based on complete data (listwise deletion)</dd>

<dt>auxiliary</dt>
<dd>Provide a matrix or data frame of auxiliary variables for missing data analysis.</dd>

<dt>silent</dt>
<dd>Whether to print information of the analysis.</dd>

</dl>

bootstrap: Bootstrap se and CI for alpha and omega

Description

Usage

Arguments

Author

References

Examples