How to do a three way ANOVA in GraphPad Prism

TL;DR

This video demonstrates how to conduct a three-way ANOVA analysis in GraphPad Prism using one measurement variable and three nominal variables.

Transcript

hello I'm James Clark from King's College London and in this short video I'm going to show you how to carry out a three-way ANOVA in graphpad prism while you would carry out a two-way anova when you have one measurement variable and up to two nominal variables you will carry out a 3-way ANOVA when you have a measurement variable and three nominal v... Read More

Key Insights

• 💨 Three-way ANOVA is useful for analyzing data with one measurement variable and three nominal variables.
• 🧑‍🏭 Factors should be defined based on how the groups differ and represent the different nominal variables.
• 👥 Multiple comparisons can be used to compare specific groups and identify significant differences.

Questions & Answers

Q: What is the purpose of conducting a three-way ANOVA analysis?

The purpose of a three-way ANOVA analysis is to examine the influence of multiple factors on a measurement variable. It helps determine if there are significant interactions among the variables and their effects on the outcome.

Q: How do you define the factors in a three-way ANOVA analysis?

In a three-way ANOVA analysis, you define the factors that represent the different nominal variables. These factors are named based on how the groups differ. In the example, factors were named as low vs high BMI, male vs female, and low vs high smoking.

Q: What are multiple comparisons in a three-way ANOVA analysis?

Multiple comparisons in a three-way ANOVA analysis allow you to compare specific groups or columns. It helps identify significant differences between groups, such as comparing smokers and non-smokers within different BMI and gender groups.

Q: How are the results of a three-way ANOVA analysis interpreted?

The results of a three-way ANOVA analysis can be interpreted by examining the p-values and effect sizes for each factor. Significant p-values indicate that the factor has a significant impact on the outcome. In the example, smoking was found to only significantly influence VO2 Max in low BMI females.

Summary & Key Takeaways

• Three-way ANOVA is used when analyzing data with one measurement variable and three nominal variables.

• The example in the video involves analyzing the exercise capacity of different subject groups based on BMI, gender, and smoking habits.

• The process involves entering and plotting the data, selecting the groups to analyze, defining the factors, running multiple comparisons, and interpreting the results.