Slideshows

• Multiple Correlation and Regression with Continuous Predictors

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

  • An Introduction to Multiple Linear Regression

  • Linear Correlation/Regression with SPSS

  • Partial Correlation/Regression Coefficients

  • Suppression

  • Regression Diagnostics

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

  • Moderation Models

  • Mediation Models

  • Polynomial Regression

   

• ANOVA -- Multiple Regression with Categorical Predictors

  • One-Way ANOVA, Independent Samples

    • Multiple Comparisons

    • Example Presentation of Results

  • Factorial ANOVA, Basic Concepts

    • Factorial ANOVA Computations: Two-Way, Independent Samples, Balanced

      • Simplified version of above slideshow

    • Weighted and Unweighted Means ANOVA

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

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

   

• A Bit of Matrix Algebra

  • Inverting Matrices

  • Multiple Regression via Matrix Algebra

Documents -- more detail than in the slideshows

• Multiple Correlation and Regression with Continuous Predictors

  • Curvilinear Bivariate Regression.

  • Bumblebee Regression -- guaranteed to fit any data.

  • A Brief Introduction to Multiple Correlation/Regression Analysis

  • Multiple Regression with SPSS

  • Presenting the Results of a Multiple Correlation/Regression Analysis.

  • Trivariate Correlation/Regression By Hand.

  • Multiple R² and Partial Correlation/Regression Coefficients.

  • Commonality Analysis

  • Redundancy and Suppression in Trivariate Correlation/Regression Analysis. 

  • Example of Multiple Correlation/Regression With Three Predictor Variables -- checking assumptions, transformation, suppression.

  • Inverting Matrices: Determinants and Matrix Multiplication. 

  • Using Matrix Algebra to do Multiple Correlation/Regression. 

  • Matching and ANCOV With Confounded Variables.

  • Regression Diagnostics.

  • Stepwise Multiple Correlation/Regression.

  • Mediation, Moderation, and Condition Process Analysis

    • Statistical Tests of Models That Include Mediating Variables  

    • Comparing Regression Lines From Independent Samples.  

    • Continuous Moderator Variables.  Also available in PowerPoint format.

    • Parallel Multiple Mediation.

    • Moderated Mediation: Conditional Process Analysis

  • Binary Logistic Regression with SPSS. 

  • Logistic Regression with SAS.

  • Statistical Tests of Models That Include Mediating Variables      

  • Power Analysis for Change in R², Multiple Linear Regression -- G*Power3

  • Multiple Regression with Data from Multiple Imputations

   

• ANOVA -- Multiple Regression with Categorical Predictors

  • One-Way ANOVA, Independent Samples

    • One-Way Independent Samples Analysis of Variance

    • Confidence Intervals for Eta-Squared and RMSSE -- what should the confidence coefficient be?

    • Familywise Alpha and the Boogie Men

    • Homogeneity of Variance Tests

    • Omega-Squared Discussion -- EDSTAT-L posting on Omega-Squared.

    • One-Way Multiple Comparisons Tests

    • Power Analysis for One-Way ANOVA -- Using G*Power

    • PSY:  A Program for Contrast Analysis

    • 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.

    • An Example of Factorial Design in Cross Cultural Research.

    • Factorial-Computations -- Computations in factorial ANOVA.

    • Triv-Int.doc: Trivial interactions in factorial ANOVA.

    • Example Presentation of Results from a Two-Way Factorial ANOVA.

    • Weighted and Unweighted Means ANOVA

    • Two-Way Independent Samples Trend Analysis.

    • 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.

    • The Factorial ANOVA Is Done, Now What Do I Do?

  • Least Squares ANOVA and ANCOV

    • Least Squares Analyses of Variance and Covariance

  • ANOVA with Correlated Samples

    • An Introduction to Within-Subjects Analysis of Variance

    • The Multivariate Approach to the One-Way Repeated Measures ANOVA

    • Power Analysis for One-Way Repeated Measures ANOVA

    • Two x Two Within-Subject ANOVA Interaction = Correlated t on Difference Scores

    • The A X (B X S) ANOVA: A Multivariate Approach

    • 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

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


This page most recently revised on 24-May-2015.