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| Written with the non-statistician in mind, Multivariate Data Analysis 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. |
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Datasets, Command Syntax and Analysis Outputs: All Editions An important feature of Multivariate Data Analysis is the ability of users to replicate the analyses in the text. In this section we provide downloads of 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. These are available for the most current edition (7th) as well as past editions (5th and 6th). |
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While Multivariate Data Analysis has grown over the years to provide expanded coverage of the multivariate techniques used today, there are still some topics which can not be covered in the text. In this section we provide coverage of additional topics (e.g., Basic Stats and SEM supplements) as well as topics addressed in past editions that may be of interest to users (e.g., Advanced Regression Diagnostics or Canonical Correlation). |
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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. |
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