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Using Multivariate Statistics: Pearson New International Edition

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  • ""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 and SPSS. 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."--Publisher's Web site."
  • "A guide to statistical techniques: using the book; Review of univariate and bivariate statistics; Cleaning up uur act: screening data prior to analysis; Multiple regression; Analysis of covariance; Multivariance analysis of variance and covariance; Profile analysis: the multivariate approach to repeated measures; Discriminant analysis; Logistic regression; Survival / failure analysis; Canonical correlation; Principal components and factor analysis; Structural equation modeling; Multilevel modeling; Multiwy frequency anlaysis; Overview of the general linear model; Them-series analysis (available online at; A skimply introduction to matrix algebra; Research designs for complete examples; Statistical tables."
  • "After the Introduction Chapter, the second Chapter gives a guide to the multivariate techniques that are covered in this book and palces them in context with the more familiare univeriate and bivariate statistics where possible. Included in this chapter is a flow chart that organizes statistical techniques on the basis of the major research questions asked. Chapter three provides a brief review of univariate and bivariate statistical techniques for those who are interested. Chapter four deals with the assumptions an limitations of mulitvariate statistical methods. Assessment and violation of assumptions are discussed, along with alternatives for dealing with violations when they occur. This chapter is also meant to be referred to often, and the reader ist guided back to it frequently in Chapters five through sixteen an eighteen (online). Chapters five through sixteen and eighteen (online) cover specific multivariate techniques. They include descriptive, conceptual sections as well as a guided tour through a real-world data set for which the analysis is apporopriate. The tour includes an example of a Results section describing the outcome of the statistical analysis apporopriate for submissions to a professional journal. Each technique chapter includes a comparision of cumputer programs. Chapter seventeen is an attempt to integrate univariate, bivariate, and multivariate statistics through the multivariate general linear model. The common elements underlying all the techniques are emphasized, rather than the differences among them. This Chapter is ment to pull together the material in the remainder of the book with a conceptual rather than pragmatic emphasis."

  • "Textbooks for colleges"
  • "Textbooks"
  • "Electronic books"@en
  • "Lehrbuch"
  • "Matériel didactique"
  • "Statistik"
  • "Učbeniki za višje in visoke šole"

  • "Using Multivariate Statistics: Pearson New International Edition"@en
  • "Using Multivariate Statistics"
  • "Using Multivariate Statistics"@en
  • "Using multivariate statistics"@en
  • "Using multivariate statistics"
  • "Using Multivariate Statistics: Pearson"
  • "Using Multivariate Statistics : Pearson New International Edition"