Primer of Multivariate Statistics

<p>Drawing upon more than 30 years of experience in working with statistics Dr. Richard J. Harris has updated <i>A Primer of Multivariate Statistics</i> to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. <p/> This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques such as non-recursive path analysis confirmatory factor analysis and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.</p>