The Oxford handbook of quantitative methods in psychology. Vol. 2, Statistical analysis

The Oxford handbook of quantitative methods in psychology Vol. 2, Statistical analysis Vol. 2, Statistical analysis /

This title provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative method across the social, behavioural, and educational sciences.

Detalles Bibliográficos
Otros Autores: Little, Todd D., editor of compilation (editor of compilation)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Oxford University Press 2013.
Edición:1st ed
Colección:Oxford library of psychology.
Materias:
Psychology > Mathematical models.
Psychology > Statistical methods.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798405006719
Tabla de Contenidos:
  • Cover
  • Contents
  • Oxford Library of Psychology
  • About the Editor
  • Contributors
  • Table of Contents
  • 1. Introduction
  • 2. Overview of Traditional/Classical Statistical Approaches
  • 3. Generalized Linear Models
  • 4. Categorical Methods
  • 5. Configural Frequency Analysis
  • 6. Nonparametric Statistical Techniques
  • 7. Correspondence Analysis
  • 8. Spatial Analysis
  • 9. Analysis of Imaging Data
  • 10. Twin Studies and Behavior Genetics
  • 11. Quantitative Analysis of Genes
  • 12. Multidimensional Scaling
  • 13. Latent Variable Measurement Models
  • 14. Multilevel Regression and Multilevel Structural Equation Modeling
  • 15. Structural Equation Models
  • 16. Developments in Mediation Analysis
  • 17. Moderation
  • 18. Longitudinal Data Analysis
  • 19. Dynamical Systems and Models of Continuous Time
  • 20. Intensive Longitudinal Data
  • 21. Dynamic Factor Analysis: Modeling Person-Specific Process
  • 22. Time Series Analysis
  • 23. Analyzing Event History Data
  • 24. Clustering and Classification
  • 25. Latent Class Analysis and Finite Mixture Modeling
  • 26. Taxometrics
  • 27. Missing Data Methods
  • 28. Secondary Data Analysis
  • 29. Data Mining
  • 30. Meta-Analysis and Quantitative Research Synthesis
  • 31. Common Fallacies in Quantitative Research Methodology
  • Index
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • Z.

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