East Carolina University
Department of Psychology
Kurtosis -- illustration showing that high kurtosis results from moving scores from the shoulders to the center and tails of a distribution.
Kurtosis-SAS -- code and output illustrating kurtosis
Parametric Inference -- the basics
t Tests
One-Way ANOVA, Independent Samples
Example Presentation of Results -- also how to conduct the analysis with SPSS
Factorial ANOVA, Basic Concepts
Factorial ANOVA Computations: Two-Way, Independent Samples, Balanced
Factorial ANOVA, Area x Delay -- example of how to present the results of a factorial ANOVA
Three-Way ANOVA -- code to do the analysis with SAS and prepare interaction plots with Excel
Random and Mixed Effects ANOVA -- also nested and crossed factors
Multivariate Statistics, Brief Introductions
Multiple Regression
Meet the General -- introduction to the general linear model
Analysis of Covariance -- just a multiple regression with both classification variables and continuous variables
Time (pretest vs posttest) x Group -- how to analyze such data
Comparing Regression Lines -- does the regression solution vary across groups
Nonlinear Relationships -- simple ways to deal with data where the best fit is not linear.
Discriminant Function Analysis and MANOVA
Path Analysis
Multiple Regression and ANOVA Summer Workshop
Contact Information for the Webmaster,
Dr. Karl L. Wuensch
This page most recently revised on 9-April-2016.