>> For Undergraduates

• Scales of Measurement

• Descriptive Statistics

• Exploratory Data Analysis

• 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

• The Binomial Distribution

• The Normal Distribution

• Basic Probability       

• Parametric Inference -- the basics

• Chi-Square

• t Tests

  • One-Sample tests

  • Two-Sample tests

  • Correlated Samples, SPSS

  • Independent Samples, SPSS

  • Summary Statements

• Effect Size Estimation

  • Binomial Effect Size Display

• Power Analysis

• Bivariate Linear Correlation

• Bivariate Linear Regression

  • Corr/Regr SPSS

  • Multiple Regression SPSS

• Nonparametric and Resampling Statistics

• One-Way ANOVA, Independent Samples

  • Multiple Comparisons

  • 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

  • Weighted and Unweighted Means ANOVA

  • Random and Mixed Effects ANOVA -- also nested and crossed factors

• Correlated Samples ANOVA

  • One-Way, Multivariate Approach

• Screening Data Prior to Primary Analysis

• Multivariate Statistics, Brief Introductions

  • Overview and Multidimensional Contingency Table Analysis

  • Canonical Correlation/Regression, Multiple Regression, Binary Logistic Regression, and Hierarchical Linear Modeling

  • Principal Components/Factor Analysis and Structural Equation Modeling

  • Discriminant Function Analysis and MANOVA

  • Least Squares ANOVA, ANCOV, Repeated Measures ANOVA, & Cluster Analysis

  • Cronbach's Alpha and Maximized Lambda Four

• Multiple Regression

  • Meet the General -- introduction to the general linear model

  • An Introduction to Multiple Linear Regression

  • Trivariate Regression By Hand

  • Partial Correlation/Regression Coefficients

  • Suppression

  • Regression Diagnostics

  • Inverting Matrices

  • Multiple Regression via Matrix Algebra

  • Type=Corr Data Sets in SAS

  • Analysis of Covariance -- just a multiple regression with both classification variables and continuous variables

    • Confounded Predictors

    • Time (pretest vs posttest) x Group -- how to analyze such data

  • Bivariate Linear Correlation/Regression with SPSS

  • Multiple Linear Correlation/Regression with SPSS

  • Stepwise Regression

  • Comparing Regression Lines -- does the regression solution vary across groups

  • Moderation Models

  • Mediation Models

  • Nonlinear Relationships -- simple ways to deal with data where the best fit is not linear.

  • Polynomial Regression

  • Binary Logistic Regression (SPSS)

  • Multiple Imputation

• Discriminant Function Analysis and MANOVA

  • Bayes Theorem

  • Two-Group DFA

  • Three-Group DFA

  • One-Way MANOVA

  • Factorial MANOVA

• Path Analysis

  • An Introduction to Path Analysis

  • Path Analysis with SPSS/AMOS
  • Path Analysis with SAS Proc Calis
• Structural Equation Modeling
  • An Introduction to SEM
  • SEM with AMOS
  • SEM with SAS Calis
• Confirmatory Factor Analysis
  • CFA with AMOS
  • CFA with SAS Calis
• Hierarchical Linear Modeling

Multiple Regression and ANOVA Summer Workshop

Contact Information for the Webmaster,
Dr. Karl L. Wuensch


This page most recently revised on 7-April-2018.