East Carolina University
Department of Psychology
Workshops Conducted By Karl L. Wuensch, Summer, 2015, 2016, Office for Faculty Excellence, East Carolina University
Multiple Regression, Analysis of Variance, and Analysis of Covariance, 1-4 PM, Wednesday, 27-May-2015
SlideshowsMultiple Correlation and Regression with Continuous Predictors
Meet the General -- introduction to the general linear model
Comparing Regression Lines -- does the regression solution vary across groups?
Moderation Models -- please attend Alex Schoemann's Workshop tomorrow morning
Mediation Models -- please attend Alex Schoemann's Workshop tomorrow morning
ANOVA -- Multiple Regression with Categorical Predictors
One-Way ANOVA, Independent Samples
Example Presentation of Results -- also how to do the analysis with SPSS
Least Squares ANOVA, ANCOV, Repeated Measures ANOVA, & Cluster Analysis
A Bit of Matrix Algebra
Multiple Correlation and Regression with Continuous Predictors
Bumblebee Regression -- guaranteed to fit any data.
A Brief Introduction to Multiple Correlation/Regression Analysis
Presenting the Results of a Multiple Correlation/Regression Analysis.
Multiple R^{2} and Partial Correlation/Regression Coefficients.
Redundancy and Suppression in Trivariate Correlation/Regression Analysis.
Example of Multiple Correlation/Regression With Three Predictor Variables -- checking assumptions, transformation, suppression.
Mediation, Moderation, and Conditional Process Analysis
Moderation: Comparing Regression Lines From Independent Samples -- Continuous Y, One continuous predictor, one categorical predictor, interaction model.
Mediation, Overview, Simple Models -- one X, one Mediator, one Y
ANOVA -- Multiple Regression with Categorical Predictors
One-Way ANOVA, Independent Samples
Confidence Intervals for Eta-Squared and RMSSE -- what should the confidence coefficient be?
Omega-Squared Discussion -- EDSTAT-L posting on Omega-Squared.
Power Analysis for One-Way ANOVA -- Using G*Power
Reporting the Strength of Effect Estimates for Simple Statistical Analyses -- Independent t, one-way independent ANOVA, correlation/regression, contingency table analysis.
T Tests, ANOVA, and Regression Analysis -- mathematical equivalence of these
Factorial ANOVA, Independent Samples
Factorial-Basics -- Basic concepts in factorial ANOVA.
Factorial-Computations -- Computations in factorial ANOVA.
Triv-Int.doc: Trivial interactions in factorial ANOVA.
Example Presentation of Results from a Two-Way Factorial ANOVA.
Mixed-Effects ANOVA -- one fixed factor, one random
Random Effects, Omega-Squared, and the Intraclass Correlation Coefficient -- random effects factors and nested effects are included in the analysis presented here.
Least Squares ANOVA and ANCOV
ANOVA with Correlated Samples
The Multivariate Approach to the One-Way Repeated Measures ANOVA
Proc Mixed -- zip file: document, code, and data for using Proc Mixed for Correlated Samples ANOVA
Two x Two Within-Subject ANOVA Interaction = Correlated t on Difference Scores
Three-Way Analyses of Variance Containing One or More Repeated Factors
Doubly Multivariate Analysis of Repeated Measures Designs: Multiple Dependent Variables
Mixed ANOVA With a Continuous Predictor and All Interactions
The Pretest-Posttest x Groups Design: How to Analyze the Data
Sample Size, Power, and Effect Size, 1-4 PM, Wednesday, 25-May-2016 http://tinyurl.com/power-klw
Effect Size Estimation -- An overview of this topic
Associated Document -- An overview of this topic
Odds Ratios -- why I prefer them over probability ratios
Odds Ratios, Phi, and Base Rates -- phi can be greatly affected by base rates, odds ratios are not.
POWER -- An overview
Associated Document -- An overview
Power Conventions: What effect size should I assume and how much power should I want?
Power, Retrospective -- Foolishness
Contact Information for the Webmaster,
Dr. Karl L. Wuensch
This page most recently revised on 21-May-2016.