# ANOVA Designs - Univariate, Multivariate and Repeated Measures - 2 days course

### The course is sub-divided into the following Lessons:

1. One-way ANOVA
2. Univariate Models
3. Multivariate Models
4. Repeated Measures

## One-way ANOVA

In this lesson, you will cover the following topics:

• The assumptions for using ANOVA.
• Explore your data to ensure it meets the assumptions for using ANOVA.
• Differentiate between, the dependent variable,  fixed and random factors.
• enerate ANOVA and perform Post-hoc analysis.
• Examine the fit of the model.
• Explain the ANOVA outputs and interpret the result.

## Univariate Models - General Linear Models

In this lesson, you will cover the following topics:

• Understand data required for univariate model.
• Differentiate between, the dependent variable,  fixed, random and covariate factors.
• Generate a univariate analysis.
• Explore the effects of factors, covariate, and covariate interactions with factors on the dependent variable.
• Perform post-hoc analysis where appropriate.
• Examine the fit of the model.
• Explain the outputs and report findings.

## Multivariate Models - General Linear Models

In this lesson, you will cover the following topics:

• Understand data required for multivariate model.
• Generate multivariate analysis on two or more dependent variables
• Examine the influence of fixed factors, and covariate on the dependent variables.
• Perform post-hoc analysis where appropriate.
• Examine the fit of the model.
• Explain the outputs and report findings.

## Repeated Measures Model - General Linear Models

In this lesson, you will cover the following topics:

• Understand data required for Repeated Measures model.
• Generate repeated measures model, which may include between subject factors, and covariates and interaction of factors and covariates.
• understand the associated statistics produced
• Perform post-hoc analysis where fixed factor groups are included in the model.
• Explain the outputs and report findings.