info.xml

<?xml version="1.0" encoding="UTF-8"?>

<info>
<author>DataShop@CMU
  <email>datashop-help@lists.andrew.cmu.edu</email>
</author>
<url>https://github.com/LearnSphere/WorkflowComponents/tree/dev/AnalysisCronbachsAlpha</url>
<date>2016-10-08</date>
<abstract>The <b>Cronbach's Alpha</b> calculates a reliability values for items (columns) in a gradebook. For missing data, we implement "partial" imputation: we ignore missing data 
when computing items' variances; but we impute with student's average for missing data when we compute the variance for "total" column.</abstract>
<description>The description goes here.</description>

<inputs>
<b>Tab-delimited</b>
</inputs>

<outputs>
<b>Tab-delimited</b>
</outputs>

<options>
<b>Summary column present</b> - flag indicating if last column is a summary column. Summary data is ignored when Cronbach value is computed.<br/>
</options>

</info>