Reading and understanding multivariate statistics edited by Laurence G. Grimm and Paul R. Yarnold.
Detalles de publicación: Washington, D.C. American Psychological Association c1995, 1998.Descripción: ix, 371 p. ill. 26 cmISBN:- 1557982732 (acid-free paper)
- 001.4/225 20
- QA278 .R43 1995
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| Libro | Biblioteca Encarnación Valdés Colección General bev | 001.4225 R2871 (Navegar estantería(Abre debajo)) | Disponible | 80000002088014 |
Descripciones mejoradas de Syndetics:
This text aims to help researchers and students to understand the purpose and presentation of multivariate statistical techniques. The most commonly used techniques are described in detail, such as multiple regression and correlation and path analysis
Includes bibliographical references and index.
Introduction to multivariate statistics Laurence G. Grimm and Paul R. Yarnold -- Multiple regression and correlation Mark H. Licht -- Path analysis Laura Klem -- Principal-components analysis and exploratory and confirmatory factor analysis Fred B. Bryant and Paul R. Yarnold -- Multidimensional scaling Loretta J. Stalans -- Analysis of cross-classified data Willard Rogers -- Logistic regression Raymond E. Wright -- Multivariate analysis of variance Kevin P. Weinfurt -- Discriminant analysis A. Pedro Duarte Silva and Antonie Stam -- Understanding meta-analysis Joseph A. Durlak
Tabla de contenidos provista por Syndetics
- List of Contributors
- Preface
- Chapter 1. Introduction to Multivariate Statistics
- Chapter 2. Multiple Regression and Correlation
- Chapter 3. Path Analysis
- Chapter 4. Principal-Components Analysis and Exploratory and Confirmatory Factor Analysis
- Chapter 5. Multidimensional Scaling
- Chapter 6. Analysis of Cross-Classified Data
- Chapter 7. Logistic Regression
- Chapter 8. Multivariate Analysis of Variance
- Chapter 9. Discriminant Analysis
- Chapter 10. Understanding Meta-Analysis
- Index
- About the Editors