Multiple Regression and Beyond

Timothy Z. Keith is Professor of Educational Psychology at the University of Texas, Austin. His research is focused on the nature and measurement of intelligence, including the validity of tests of intelligence and the theories from which they are drawn. His research has been recognized with awards from the three major journals in school psychology, and he was awarded the senior scientist distinction by the School Psychology division of APA.

• PrefacePart I: Multiple RegressionChapter 1: Simple Bivariate RegressionChapter 2: Multiple Regression: IntroductionChapter 3: Multiple Regression: More DepthChapter 4: Three and More Independent Variables and Related IssuesChapter 5: Three Types of Multiple RegressionChapter 6: Analysis of Categorical VariablesChapter 7: Regression with Categorical and Continuous VariablesChapter 8: Testing for Interactions and Curves with Continuous VariablesChapter 9: Mediation, Moderation, and Common CauseChapter 10: Multiple Regression: Summary, Assumptions, Diagnostics, Power, and ProblemsChapter 11: Related Methods: Logistic Regression and Multilevel ModelingPart II: Beyond Multiple Regression: Structural Equation ModelingChapter 12: Path Modeling: Structural Equation Modeling with Measured VariablesChapter 13: Path Analysis: Assumptions and DangersChapter 14: Analyzing Path Models Using SEM ProgramsChapter 15: Error: The Scourge of ResearchChapter 16: Confirmatory Factor Analysis IChapter 17: Putting It All Together: Introduction to Latent Variable SEMChapter 18: Latent Variable Models II: Multigroup Models, Panel Models, Dangers & AssumptionsChapter 19: Latent Means In SEMChapter 20: Confirmatory Factor Analysis II: Invariance and Latent MeansChapter 21: Latent Growth ModelsChapter 22: Latent Variable Interactions and Multilevel Models In SEMChapter 23: Summary: Path Analysis, CFA, SEM, Mean Structures, and Latent Growth ModelsAppendicesAppendix A: Data Files. Appendix B: Review of Basic Statistics ConceptsAppendix C: Partial and Semipartial CorrelationAppendix D: Symbols Used in This BookAppendix E: Useful Formulae