# Applied Statistics From Bivariate Through Multivariate Techniques

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### Description:

This textbook provides a clear introduction to widely used topics in bivariate and??multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. For example, "How do researchers' decisions about treatment dosage levels and sample size tend to influence the magnitude of??t and F ratios?" Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as multiple regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions. The robust ancillaries include??datasets in SPSS and??Excel; answers to all comprehension questions; Microsoft(R) PowerPoint?? slides for each chapter; a listing of useful Web sites; and more.?? Visit www.sagepub.com/warnerstudy??for more information.Key Features: The text begins with a clear review and a fresh perspective on concepts including effect size, variance partitioning, and statistical control. Depending on student background and the level of the course, instructors can begin with chapters that review basic material, or they can begin with more advanced topics and use earlier chapters as supplemental review material.Chapters 10 through 13 examine three variable research situations in detail and teach students how to think about statistical control: How does the nature and strength of the association between an??X1 predictorvariable and a Y outcome variable change when we statistically control for another (X2) variable? This understanding of statistical control is essential for comprehension of multivariate analyses.The book includes a chapter on reliability, validity, and multiple item scales, and draws extensively on path models to illustrate theories about possible causal and non-causal associations among variables, beginning with simple three variable research situations.Graphics are used to explain concepts such as variance partitioning, statistical control, and factor rotation.A glossary and extensive practice exercises help readers to digest the material presented. ??Members Receive:

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### Book details

List price: $111.00

Copyright year: 2007

Publisher: SAGE Publications, Incorporated

Publication date: 9/6/2007

Binding: Hardcover

Pages: 1128

Size: 7.00" wide x 10.00" long x 1.75" tall

Weight: 3.828