Applied multiple regression/correlation analysis for the behavioral sciences - Info and Reading Options

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chapter 1. Introduction -- chapter 2. Bivariate correlation and regression -- chapter 3. Multiple regression/correlation with two or more independent variables -- chapter 4. Data visualization, exploration, and assumption checking : diagnosing and solving regression problems I -- chapter 5. Data-analytic strategies using multiple regression/correlation -- chapter 6. Quantitative scales, curvilinear relationships, and transformations -- chapter 7. Interactions among continuous variables -- chapter 8. Categorical or nominal independent variables -- chapter 9. Interactions with categorical variables -- chapter 10. Outliers and multicollinearity : diagnosing and solving regression problems II -- chapter 11. Missing data -- chapter 12. Multiple regression, correlation and causal models -- chapter 13. Alternative regression models : logistic, Poisson regression, and the generalized linear model -- chapter 14. Random coefficient regression and multilevel models -- chapter 15. Longitudinal regression methods -- chapter 16. Multiple dependent variables : set correlation

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