Authors: Barbara G. Tabachnick, Barbara G. Tabachnick
ISBN-13: 9780205459384, ISBN-10: 0205459382
Format: Hardcover
Publisher: Allyn & Bacon, Inc.
Date Published: December 2005
Edition: 5th Edition
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.
Multivariate statistics are increasingly popular statistical techniques for analyzing complicated data. This revised textbook tells students how to do an analysis--how to set it up and how to interpret results. A floppy disk is available. Annotation c. Book News, Inc., Portland, OR (booknews.com)
1 | Introduction | 1 |
2 | A guide to statistical techniques : using the book | 17 |
3 | Review of univariate and bivariate statistics | 33 |
4 | Cleaning up your act : screening data prior to analysis | 60 |
5 | Multiple regression | 117 |
6 | Analysis of covariance | 195 |
7 | Multivariate analysis of variance and covariance | 243 |
8 | Profile analysis : the multivariate approach to repeated measures | 311 |
9 | Discriminant analysis | 375 |
10 | Logistic regression | 437 |
11 | Survival/failure analysis | 506 |
12 | Canonical correlation | 567 |
13 | Principal components and factor analysis | 607 |
14 | Structural equation modeling | 676 |
15 | Multilevel linear modeling | 781 |
16 | Multiway frequency analysis | 858 |
17 | An overview of the general linear model | 913 |
18 | Time-series analysis (available online at www.ablongman.com/tabachnick5e) |