Multivariate Data Analysis  Sixth Edition by Hair, Black, Babin, Anderson and Tatham

Multivariate Data Analysis by Hair, et al  -- The world's leading authority on applied multivariate data analysis based on number of citations, as reported by Google Scholar
Written with the non-statistician in mind, Multivariate Data Analysis, 6/E is an applications-oriented introduction to multivariate analysis that greatly reduces the amount of statistical notation and terminology used.  The fundamental concepts that affect the use of specific techniques are emphasized.  This text presents step-by-step explanations for exactly when and how to use each technique and includes guidelines on the interpretation of results.

Datasets, Command Syntax and Analysis Outputs

   An important feature of Multivariate Data Analysis, 6/E is the ability of users to replicate the analyses in the text.  In this section we provide downloads for all the necessary datasets, command syntax for the major software programs and even complete output files that can be used if the analyses can not be performed.


Suggested Readings

    An important adjunct to Multivariate Data Analysis is access and use of readings as a means of illustrating innovative and well-conceived applications of multivariate techniques in as many disciplines of study as possible. We will continue to compile a listing of exemplary articles that may be of interest to student and educator alike.



Supplementary Materials

    While Multivariate Data Analysis has grown over the years to provide coverage over the expanding number of techniques used in multivariate analysis today, there are still some topics which can not be covered in the text.  In this section we provide coverage of additional topics addressed in past editions that may be of interest to users (e.g., Canonical Correlation).


Annotated Output for Basic Multivariate Techniques (coming soon)

    One aspect of performing any multivariate analysis is developing a basic understanding of the actual computer outputs for the different multivariate techniques.  Here the authors have provided examples of the outputs of basic multivariate techniques and provided annotations in these outputs to assist the user in identification and interpretation.

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Multivariate Data Analysis  6/E
Hair, Black, Babin, Anderson and Tatham