tau.test

Calculate alpha or omega for a given data set.

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

tau.test function

<dl> <dt>y</dt>
<dd>Data</dd> <dt>varphi</dt>
<dd>Downweight rate</dd>
 <dt>complete</dt>
<dd>Calculate alpha/omega only based on complete data (listwise deletion)</dd>
 <dt>drop</dt>
<dd>The row number of cases to be dropped from the analysis.</dd></dl>

Arguments

Author

Test the tau-equivalence and the homogeneity of items — tau.test

<dl>

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

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


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


 <dt>drop</dt>
<dd>The row number of cases to be dropped from the analysis.</dd>

</dl>

tau.test: Test the tau-equivalence and the homogeneity of items

Description

Usage

Arguments

Author

References

Examples