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Applied multiple regression/correlation analysis for the behavioral sciences /
Otros Autores: | , , , |
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Formato: | Software Libro |
Lenguaje: | English |
Publicado: |
Mahwah, N.J. ; London :
L. Erlbaum Associates,
2003.
|
Edición: | 3rd ed. |
Materias: | |
Acceso en línea: | Publisher description |
Tabla de Contenidos:
- Introduction
- Bivariate correlation and regression
- Multiple regression/correlation with two or more independent variables
- Data visualization, exploration, and assumption checking: diagnosing and solving regression problems I
- Data-analytic strategies using multiple regression/correlation
- Quantitative scales, curvilinear relationships, and transformations
- Interactions among continuous variables
- Categorical or nominal independent variables
- Interactions with categorical variables
- Outliers and multicollinearity: diagnosing and solving regression problems II
- Missing data
- Multiple regression/correlation and causal models
- Alternative regression models: logistic, Poisson regression, and the generalized linear model
- Random coefficient regression and multilevel models
- Longitudinal regression methods
- Multiple dependent variables: set correlation.