Skip to main content
SpringerLink
Log in

Applied Multivariate Analysis

  • Book
  • © 1988

Overview

Authors:
  1. Ira H. Bernstein

    1. Department of Psychology, University of Texas at Arlington, Arlington, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Calvin P. Garbin

    1. Department of Psychology, University of Nebraska at Lincoln, Lincoln, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Gary K. Teng

    1. Technical Evaluation and Management Systems, Inc.(TEAMS®), Dallas, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Introduction and Previe

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 1-21

  3. Some Basic Statistical Concepts

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 22-56

  4. Some Matrix Concepts

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 57-88

  5. Multiple Regression and Correlation—Part 1. Basic Concepts

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 89-120

  6. Multiple Regression and Correlation—Part 2. Advanced Applications

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 121-156

  7. Exploratory Factor Analysis

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 157-197

  8. Confirmatory Factor Analysis

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 198-245

  9. Classification Methods—Part 1. Forming Discriminant Axes

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 246-275

  10. Classification Methods—Part 2. Methods of Assignment

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 276-314

  11. Classification Methods—Part 3. Inferential Considerations in the MANOVA

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 315-344

  12. Profile and Canonical Analysis

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 345-375

  13. Analysis of Scales

    • Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng
    Pages 376-409

  14. Back Matter

    Pages 410-508
    Download chapter PDF
Back to top

Keywords

About this book

Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel­ lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathe­ maticians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the "scientist" rather than the "mathematician" role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions.

Authors and Affiliations

  • Department of Psychology, University of Texas at Arlington, Arlington, USA

    Ira H. Bernstein

  • Department of Psychology, University of Nebraska at Lincoln, Lincoln, USA

    Calvin P. Garbin

  • Technical Evaluation and Management Systems, Inc.(TEAMS®), Dallas, USA

    Gary K. Teng

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation