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Using Multivariate Statistics 7th Edition by Barbara Tabachnick, Linda Fidell ISBN 0134790545 978-0134790541

  • SKU: BELL-21976316
Using Multivariate Statistics 7th Edition by Barbara Tabachnick, Linda Fidell ISBN 0134790545 978-0134790541
$ 35.00 $ 45.00 (-22%)

5.0

68 reviews

Using Multivariate Statistics 7th Edition by Barbara Tabachnick, Linda Fidell ISBN 0134790545 978-0134790541 instant download after payment.

Publisher: Pearson
File Extension: PDF
File size: 109.56 MB
Pages: 1024
Author: Barbara G. Tabachnick; Linda S. Fidell; Jodie B. Ullman
ISBN: 9780134790541, 0134790545
Language: English
Year: 2018
Edition: 7th

Product desciption

Using Multivariate Statistics 7th Edition by Barbara Tabachnick, Linda Fidell ISBN 0134790545 978-0134790541 by Barbara G. Tabachnick; Linda S. Fidell; Jodie B. Ullman 9780134790541, 0134790545 instant download after payment.

Using Multivariate Statistics 7th Edition by Barbara Tabachnick, Linda Fidell - Ebook PDF Instant Download/Delivery: 0134790545, 978-0134790541

Full download Using Multivariate Statistics 7th Edition after payment

 

Product details:

ISBN 10: 0134790545

ISBN 13: 978-0134790541 

Author: Barbara Tabachnick, Linda Fidell

For advanced undergraduate and graduate courses in Social Statistics.

An in-depth introduction to today’s most commonly used statistical and multivariate techniques

Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors focus on the benefits and limitations of applying a technique to a data set – when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed.

Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.

Table of contents:

  1. Introduction
  2. A Guide to Statistical Techniques: Using the Book
  3. Review of Univariate and Bivariate Statistics
  4. Cleaning Up Your Act: Screening Data Prior to Analysis
  5. Multiple Regression
  6. Analysis of Covariance
  7. Multivariate Analysis of Variance and Covariance
  8. Profile Analysis: The Multivariate Approach to Repeated Measures
  9. Discriminant Analysis
  10. Logistic Regression
  11. Survival/Failure Analysis
  12. Canonical Correlation
  13. Principal Components and Factor Analysis
  14. Structural Equation Modeling by Jodie B. Ullman
  15. Multilevel Linear Modeling
  16. Multiway Frequency Analysis
  17. Time-Series Analysis
  18. An Overview of the General Linear Model

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Tags: Barbara Tabachnick, Linda Fidell, Using, Multivariate, Statistics

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