Advanced and multivariate statistical methods : practical application and interpretation

Author(s)

    • Mertler, Craig A.
    • Vannatta, Rachel A.

Bibliographic Information

Advanced and multivariate statistical methods : practical application and interpretation

Craig A. Mertler, Rachel A. Vannatta

Pyrczak Publishing, c2010

4th ed

Other Title

Advanced and multivariate statistical methods

Statistical methods : advanced and multivariate : practical application and interpretation

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Note

Includes bibliographical references (p. 351-352) and index

Contents of Works

  • Chapter 1 : introduction to multivariate statistics
  • Chapter 2 : a guide to multivariate techniques
  • Chapter 3 : pre-analysis data screening
  • Chapter 4 : factorial analysis of variance
  • Chapter 5 : analysis of covariance
  • Chapter 6 : multivariate analysis of variance and covariance
  • Chapter 7 : multiple regression
  • Chapter 8 : path analysis
  • Chapter 9 : factor analysis
  • Chapter 10 : discriminant analysis
  • Chapter 11: logistic regression
  • Appendix A : SPSS data sets
  • Appendix B : the Chi square distribution

Description and Table of Contents

Description

* All the statistics traditionally covered in a second-level course are included. * Stresses the conceptual and practical aspects for students who do not need emphasis on the underlying mathematical theory. * Students learn not only the purpose of and how to compute the statistics using SPSS, they also learn the logic behind the techniques and how to test the underlying assumptions. * Students are shown how to interpret, present, and write up the results for each technique. * Exercises allow students to practice their newly acquired skills. The answer key will be provided with professors' copies. * If your students are overwhelmed by advanced statistics texts that are too technical and mathematical, you should examine this highly applied approach to multivariate statistics. Covers why, what, when and how. Ideal for nonmath majors. * The numerous screenshots and examples of output make it easy for students to follow the text. * Each statistical method is followed by an explanation of why a student might use that method, including a discussion of its purpose and sample research questions it can address. * The authors also show a sample study with an example of how to write up the results. Students see firsthand how to present their statistical findings. * Although SPSS is the program that is illustrated, students using any program will benefit greatly from the conceptual material.

Table of Contents

Chapter 1: Introduction to Multivariate Statistics Chapter 2: A Guide to Multivariate Techniques Chapter 3: Pre-Analysis Data Screening Chapter 4: Factorial Analysis of Variance Chapter 5: Analysis of Covariance Chapter 6: Multivariate Analysis of Variance and Covariance Chapter 7: Multiple Regression Chapter 8: Path Analysis Chapter 9: Factor Analysis Chapter 10: Discriminant Analysis Chapter 11: Logistic Regression Appendix A: SPSS Data Sets Appendix B: The Chi-Square Distribution Glossary References Subject Index

by "Nielsen BookData"

Details

  • NCID
    BB01442774
  • ISBN
    • 1884585841
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Glendale, CA
  • Pages/Volumes
    xiv, 362 p.
  • Size
    28 cm
  • Classification
  • Subject Headings
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