Jason T. Newsom PhD

Professor, Department of Psychology, Portland State University

Main Page Current Courses Univariate Quant Mulitple Regression Categorical Data Analysis Structural Equation Modeling Multilevel Regression Psychological Measurement Adult Development and Aging Past Courses Stats Notes Resources SEM References SEM Books Other LSEM Book LDA Book Department of Psychology

Psy 522/622 Multiple Regression and Multivariate Quantitative Methods

Syllabus Readings Homework Homework Articles Exam Review Sheet Data Sets Lab Website Handouts & Overheads Correlation Example: SPSS and R Overhead: Simple Regression Line and Residuals Simple Regression Example: SPSS and R Overhead: Correlation Limitations Overhead: Venn diagrams Overhead: Third Variable Diagrams Multiple Regression Example: SPSS and R 3d Regression Figures in SPSS and R (optiona) Matrix Regression (optional) Hierarchical Regression Example Good Example of a Hierarchical Table Partial and Semipartial Correlation Example Suppression Model Building Procedures ANOVA and Regression Equivalence ANOVA and Regression Equivalence Example: SPSS and R Analysis of Covariance (ANCOVA) Analysis of Covariance (ANCOVA) Example: SPSS and R Creating Indicator Variables for Four Categories: SPSS and R Overview of Regression Assumptions and Diagnostics Diagnostics Cutoff Summary Table SPSS Regression Diagnostics Example (with tweaked data) More Diagnostic Examples in SPSS Diagnostics Examples in R Overhead: Diagnostics Figures Remedies for Assumption Violations and Multicollinearity Overhead: Transformation Figures Overhead: Curvilinear Figures Curvilinear Regression Example: SPSS and R Overhead: Interactions with Regression Analysis Simple Slopes Regression Moderation Examples: SPSS and R Testing Mediation with Regression Analysis Testing Mediation with Regression Analysis Examples: SPSS and R Overhead: More Complex Mediational Models Longitudinal Regression Approaches Longitudinal Regression Examples The Concept of Change: Difference scores or statistical control? What should I use to predict change over two time points? (optional) 2 X 2 Contingency Chi-square Logistic Regression Simple Logistic Regression Examples: SPSS and R Multiple Logistic Regression and Model Fit Multiple Logistic Regression Example: SPSS and R Link Functions and the Generalized Linear Model with SPSS and R Probit Example Regression Models for Ordinal Dependent Variables Ordinal Logistic and Probit Examples: SPSS and R Overhead: OLS Performance with Ordinal Data (optional) Multinomial Regression Models Regression Models for Count Data and SPSS and R Examples Multivariate Analysis of Variance MANOVA Example: SPSS and R Principal Components Analysis Principal Components Analysis Example: SPSS and R (optional) Multivariate Analyses Sample size and Power for Regression Missing Data and Regression Multiple Imputation Example with Regression Analysis (optional) Further Readings Links Jason's SPSS Macros for Interactions and Simple effects UCLA's statistical computing annotated regression outputs (SPSS) David Kenny's site (click on "mediation") Automatic calculator for calculating significance of indirect effects (compliments of Preacher & Leonardelli at KU and U of Toronto) David Gerbing's lessR manual David Gerbing's lessR site John Fox's Home Page Fox's R car package Oscar Torres-Reyna's Regression with R tutorial Brief summary of some R regression related functions Process Macro for Mediation and Moderation Tests (Andrew Hayes) Carl Falk's mediation page (with R code links) Mediation package for R R for SAS and SPSS Users by Rob Muenchen