Reading and understanding more multivariate statistics edited by Laurence G. Grimm and Paul R. Yarnold.
Detalles de publicación: Washington, DC American Psychological Association c2004.Edición: 4th edDescripción: xiii, 437 p. ill. 26 cmISBN:- 1557986983 (pbk : alk. paper)
- 519.5/35 21
- QA278 .R32 2000
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| Libro | Biblioteca Encarnación Valdés Colección General bev | 519.535 R2871 2004 (Navegar estantería(Abre debajo)) | c.2 | Disponible | 80000002301854 | |||||||||||||
| Libro | Biblioteca Encarnación Valdés Colección General bev | 519.535 R2871 2004 (Navegar estantería(Abre debajo)) | Disponible | 80000002278904 |
Descripciones mejoradas de Syndetics:
This work describes research questions for which the statistic is most appropriate, the underlying assumptions and rationale of the analysis, and the logic behind interpreting the results. It is designed to clarify each statistic's logic and utility rather than teach applications.
Includes bibliographical references and index.
Introduction to multivariate statistics Laurence G. Grimm and Paul R. Yarnold -- Reliability and generalizability theory Michael J. Strube -- Item response theory David H. Henard -- Assessing the validity of measurement Fred B. Bryant -- Cluster analysis Joseph F. Hair, Jr., and William C. Black -- Q-technique factor analysis : one variation on the two-mode factor analysis of variables Bruce Thompson.
Structural equation modeling Laura Klem -- Ten commandments of structural equation modeling Canonical correlation analysis Bruce Thompson -- Repeated measures analyses : ANOVA, MANOVA, and HLM Kevin P. Weinfurt -- Survival analysis Raymond E. Wright.
Tabla de contenidos provista por Syndetics
- Contributors
- Preface
- 1. Introduction to Multivariate Statistics
- 2. Reliability and Generalizability Theory
- 3. Item Response Theory
- 4. Assessing the Validity of Measurement
- 5. Cluster Analysis
- 6. Q-Technique Factor Analysis: One Variation on the Two-Mode Factor Analysis of Variables
- 7. Structural Equation Modeling
- 8. The Ten Commandments of Structural Equation Modeling
- 9. Canonical Correlation Analysis
- 10. Repeated Measures Analyses: ANOVA, MANOVA, and HLM
- 11. Survival Analysis