This section provides step-by-step instructions for running Multifactor ANOVA in Prism. The analysis consists of several tabs where you'll make choices about your data and model:

Setting Up the Analysis

Entering data for Multifactor ANOVA

•Organizing your Multiple Variables data table

•Defining response and grouping variables

•Data quality checks

Configuring the Model

Data tab: Variable assignment

•Selecting your response (Y) variable

•Selecting your grouping variables (factors)

•Understanding variable roles

Model tab: Experimental design

•Choosing which factors to include

•Deciding which interactions to test

•Full model vs. main effects only

Performing Multiple Comparisons (Post-hoc tests)

Multiple Comparisons tab

•Main effect comparisons

•Simple effect comparisons

•Cell-by-cell comparisons

•Choosing a multiple comparison test

Options and Output

Options tab

•Graphing options

•Output format choices

•Setting defaults

Residuals tab

•Checking model assumptions

•Diagnostic plots

•Identifying outliers

Understanding Results

Interpreting results: Multifactor ANOVA

•Reading the ANOVA table

•Understanding main effects and interactions

•Interpreting multiple comparisons

•Reporting your results