Analysis of variance

'ANOVA' stands for 'ANalysis Of VAriance'. Learn about this family of parametric analyses for experimental research designs where you have more than two groups or conditions, as well as their non-parametric equivalents. These clever tests provide a simple way to analyze the data from more complex research designs, where you are gathering data for multiple independent variables and / or levels.

• Start with One-way ANOVA to understand the basic theory behind ANOVA tests, and to use when you have one independent variable (or 'factor') with three or more levels
• Learn about the non-parametric equivalents of one-way ANOVA: Friedman's ANOVA (for within-subjects designs) and Kruskal-Wallis (for between-subjects designs). 
• Move onto Factorial ANOVA for research designs with two or more independent variables or factors.