Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Jacob Cohen (Author) ,  Patricia Cohen (Author) ,  Stephen G. West (Author) ,  Leona S. Aiken (Author)

• Contents: Preface. 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. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

"...anyone with an interest in or need to carry out MR will find it invaluable." - British Journal of Mathematical and Statistical Psychology"I can't see how a practicing research psychologist could be without a copy." - Dr. Steven P. Reise, University of California at Los Angeles"Overall we think the book successfully reflects more contemporary issues, thinking, and advances in multiple regression and correlation....The general style and format, consistent with the previous editions, is understandable while still retaining depth and comprehensiveness." - Drs. Lynda A. and Daniel W. King, Boston University School of Medicine"I think VERY highly of this revision....The chapter on regression diagnostics and graphics (Ch. 4) is a wonderful addition. Also, the emphasis on confidence intervals is great, as is the extensive discussion on logistic regression." - Dr. William F. Chaplin, University of Alabama, Tuscaloosa"I have always felt that the book's major strength was its ability to blend careful, thoughtful explanation with a relatively non-technical exposition....I am happy to say that in my opinion this edition retains and furthermore expands upon this strength." - Dr. Harry Reis, University of Rochester