Spencer, Neil H. <br/><br/>
Essentials of multivariate data analysis / 
by Neil H. Spencer  
 - Boca Raton:  CRC/Chapman and Hall,  2014. 
 - xiv, 172 p. 
<br/><br/>1.Frequently asked questions --<br/>2.Graphical presentation of multivariate data --<br/>3.Multivariate tests of significance --<br/>4.Factor analysis --<br/>5.Cluster analysis --<br/>6.Discriminant analysis --<br/>7.Multidimensional scaling --<br/>8.Correspondence analysis. 
<br/><br/> this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics 
<br/><br/><label>ISBN: </label>9781466584785 
<br/><br/><label>Subjects--Topical Terms: </label><br/>PL
<br/><br/><label>Dewey Class. No.: </label>519.535  / SPE-E