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<a name="RELIABILITY"></a>
<div class="header">
<p>
Next: <a href="ROC.html#ROC" accesskey="n" rel="next">ROC</a>, Previous: <a href="REGRESSION.html#REGRESSION" accesskey="p" rel="prev">REGRESSION</a>, Up: <a href="Statistics.html#Statistics" accesskey="u" rel="up">Statistics</a> &nbsp; [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Function-Index.html#Function-Index" title="Index" rel="index">Index</a>]</p>
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<hr>
<a name="RELIABILITY-1"></a>
<h3 class="section">15.16 RELIABILITY</h3>

<a name="index-RELIABILITY"></a>
<div class="display">
<pre class="display">RELIABILITY
        /VARIABLES=<var>var_list</var>
        /SCALE (<var>name</var>) = {<var>var_list</var>, ALL}
        /MODEL={ALPHA, SPLIT[(<var>n</var>)]}
        /SUMMARY={TOTAL,ALL}
        /MISSING={EXCLUDE,INCLUDE}
</pre></div>

<a name="index-Cronbach_0027s-Alpha"></a>
<p>The <code>RELIABILITY</code> command performs reliability analysis on the data.
</p>
<p>The <code>VARIABLES</code> subcommand is required. It determines the set of variables 
upon which analysis is to be performed.
</p>
<p>The <code>SCALE</code> subcommand determines which variables reliability is to be 
calculated for.  If it is omitted, then analysis for all variables named
in the <code>VARIABLES</code> subcommand will be used.
Optionally, the <var>name</var> parameter may be specified to set a string name 
for the scale.
</p>
<p>The <code>MODEL</code> subcommand determines the type of analysis. If <code>ALPHA</code> is specified, 
then Cronbach&rsquo;s Alpha is calculated for the scale.  If the model is <code>SPLIT</code>, 
then the variables  are divided into 2 subsets.  An optional parameter 
<var>n</var> may be given, to specify how many variables to be in the first subset.
If <var>n</var> is omitted, then it defaults to one half of the variables in the 
scale, or one half minus one if there are an odd number of variables.
The default model is <code>ALPHA</code>.
</p>
<p>By default, any cases with user missing, or system missing values for 
any variables given 
in the <code>VARIABLES</code> subcommand will be omitted from analysis.
The <code>MISSING</code> subcommand determines whether user missing values are to 
be included or excluded in the analysis.
</p>
<p>The <code>SUMMARY</code> subcommand determines the type of summary analysis to be performed.
Currently there is only one type: <code>SUMMARY=TOTAL</code>, which displays per-item
analysis tested against the totals.
</p>





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