ANOVA: General Linear Models (GLMs) with SPSS

ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.

You'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.

The structure, application and interpretation of the following models will be covered:

• one-way ANOVA
• factorial ANOVA
• univariate ANOVA
• multivariate ANOVA
• repeated measures ANOVA

The conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS. Example datasets are provided for you to perform analyses on.

The course will take place in a cluster room, with access to a computer and version 22 of SPSS throughout the day.

You're welcome to bring your own laptop if preferred, but please ensure your software is licenced before attending. Where possible, we recommend that you use a recent version of SPSS (e.g. 19-22) for maximum compatibility with the notes provided during the course.

By the end of this course you should be able to:

• understand what ANOVA is and the basics of how it works
• know the data checks and parametric assumptions for ANOVA
• know/understand the steps to carrying out an ANOVA in SPSS
• select the appropriate test for different study designs
• read and interpret SPSS output for ANOVA

You should also have some understanding of similarities between ANOVA and regression.