Analysis of Variance (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. The underlying principles of ANOVA are introduced and the extensions and applications of this type of statistical analysis are discussed.This is a practical course that takes a hands-on look at the types of ANOVA models available in SPSS within the General Linear Model (GLM) function. The structure, application and interpretation of the following models will be covered:One-way ANOVAFactorial ANOVAUnivariate ANOVAMultivariate ANOVARepeated measures ANOVAThe conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS and example datasets are provided for all delegates to perform analyses on. Basic knowledge of SPSS and introductory statistics (e.g., p-values, confidence intervals) is desirable. The course will take place in a cluster room. Delegates are welcome to bring their own laptops and access to the UCL Guest network will also be provided. Everyone wishing to bring their own computer should ensure the software is licensed before attending. Where possible, we recommend using a recent version of SPSS (e.g., 19-22) for maximum compatibility with the notes provided during the course.