<div class="calibre2"><span class="calibre3"><span class="calibre4">STATIS</span></span></div>
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<div class="calibre2"><span class="calibre7"><span class="calibre8">STATIS is a very intuitive and visually powerfull analysis method. Like PCA it decomposes
the variation in a dataset into principal components and monitor the assessors in the principal
component space according to their evaluations of the samples together with the average
scores of the samples (or attributes).</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Further reading:</b></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">Abdi, H., & Valentin, D. (2007). STATIS. In N.J. Salkind (Ed.): Encyclopedia of Measurement
and Statistics. Thousand Oaks (CA): Sage. pp. 955-962. (Get it </span></span><a href="http://www.utdallas.edu/~herve/Abdi-Statis2007-pretty.pdf"><span class="calibre7"><span class="calibre8">here</span></span></a><span class="calibre7"><span class="calibre8">).</span></span></div><div class="calibre2"> </div>
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