David B. Flora is a Professor in the Department of Psychology at York University in Toronto, Canada. Dr. Flora has also served as Coordinator of the Quantitative Methods Area in York's graduate program in psychology as Coordinator of York's Statistical Consulting Service. As a quantitative psychologist, Dr. Flora is a coauthor on numerous journal articles focused on quantitative methodology itself as well as on a wide range of articles in which advanced quantitative methods are applied to substantive research topics in psychology. Dr. Flora earned his PhD from the Quantitative Psychology program at the University of North Carolina at Chapel Hill. Although he is now a Canadian, Dr. Flora remains a Tar Heel born and a Tar Heel bred.
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Description
Chapter 1: Foundations of Statistical Modelling Demonstrated with Simple Regression Chapter 2: Multiple Regression with Continuous Regressors Chapter 3: Multiple Regression with Categorical Regressors Chapter 4: Interactions in Multiple Regression: Models for Moderation Chapter 5: Using Regression to Model Causal Effects and Mediation Chapter 6: Logistic regression for categorical outcome variables Chapter 7: Introduction to Multilevel Modelling Chapter 8: Exploratory Factor Analysis Chapter 9: Structural Equation Modelling I: Confirmatory Factor Analysis Chapter 10: Structural Equation Modelling II: Structural Regression Models Chapter 11: Estimating Models with Missing Data Chapter 12: Modelling Longitudinal Data