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Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts.
Lisa L. Harlow is a professor emerita of psychology at the University of Rhode Island, USA
I. OVERVIEW
Chapter 1: Introduction and Multivariate Themes
Chapter 2: Background Themes
II. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOME
Chapter 3: Multiple Regression
Chapter 4: Analysis of Covariance
III. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S)
Chapter 5. Multivariate Analysis of Variance
Chapter 6: Discriminant Function Analysis
Chapter 7: Logistic Regression
IV. MULTIVARIATE DIMENSIONAL METHODS WITH CONTINUOUS VARIABLES
Chapter 8: Principal Components and Factor Analysis
V: STRUCTURAL EQUATION MODELING
Chapter 9: Structural Equation Modeling
Chapter 10: Path Analysis
Chapter 11: Confirmatory Factor Analysis
Chapter 12: Latent Variable Modeling
Chapter 13: Multiple Sample Analysis
Chapter 14: Latent Growth Modeling
VI: SUMMARY
Chapter 15: Integration of Multivariate Methods
