Table of Contents
About the Book
Data Sets
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About the Book

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques.

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.

  • Each technique chapter discusses tests for assumptions of analysis (and procedures for dealing with their violation), presents a small example hand-worked for the most basic analysis, describes varieties of analysis, discusses important issues (such as effect size), provides an example with a real data set from tests of assumptions to write-up of a results section, and compares features of relevant programs.
  • For each technique, an example with real data is provided, from assessment of assumptions to a Results section in APA format giving students a step-by-step algorithm for conducting an analysis and writing it up.
New to this Edition
  • A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research.
  • A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention (either experimentally or naturally occurring). This is especially useful in the social sciences. The data files for the complete examples are available in several formats at the website ( Updated SAS and SPSS Workbooks for Windows are also available.
  • This edition upgrades all syntax and output to SAS release 7, SPSS release 10, and SYSTAT release 9, so students can concentrate on the research question and the meaning of the output rather than on getting the program to run.
  • The revised Chapter 4 on data screening contains new procedures for inputting missing values, and provides students with the most up-to-date procedures for both statistical and graphical methods of data screening.
  • Chapters on Multiple Regression (Ch. 5), Profile Analysis of Repeated Measures (Ch. 10), and Logistic Regression (Ch. 12) have been extensively revised.
  • SAS Workbook 0-205-32785-0
  • SPSS Workbook 0-205-32784-2