Course number 415

Regression and ANOVA with SPSS

General info:

In research it is often important to model the influence of several continuous or categorical variables on a single, dependent response variable. Models constructed can be used to help understanding the underlying process or to make response predictions possible for specific designs or situations. Statistical data analysis techniques for building linear regression models and ANOVA models may be valuable for this. In the CEE/e-course ‘Regression and ANOVA with SPSS’ standard techniques for linear regression and ANOVA model building are discussed. Attention is paid on the interpretation of the results and on the practical use of the models for prediction. Furthermore, the use of representative statistical software like SPSS is demonstrated and participants get the opportunity for hands-on experience using SPSS for linear regression and ANOVA.

The following topics will  be treated:

• Introduction and Overview.
• Exploratory Data Analysis: Scatter Plots,
  Correlations and Partial Correlations.
• Building, Evaluating and Using Linear Regression Models.
• One-way and Factorial Analysis of Variance (ANOVA),
  Main Effects and Interactions.
• Post-hoc Tests, Contrasts and Model Evaluations.
• Nonparametric Tests: Kruskall Wallis.
• Interpretation and Presentation of the Results.

After successful completion of the course participants should be able to build linear regression and ANOVA models with SPSS independently.