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

The Oxford handbook of quantitative methods. Vol. 2, Statistical analysis / edited by Todd D. Little.

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to today's complex research questions. It is a one-stop source for...

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Bibliographic Details
Other Authors: Little, Todd D.
Format: eBook
Language:English
Published: Oxford : Oxford University Press, 2013.
Series:Oxford library of psychology.
Subjects:
Psychology > Mathematical models.
Psychology > Statistical methods.
PSYCHOLOGY > Research & Methodology.
Psychology > Mathematical models
Psychology > Statistical methods
Online Access:Click for online access
Table of Contents:
  • 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 Models16. 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 MethodologyIndex; 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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