Two factor ANOVA with repeated measures

This video is about two-factor analysis of variance with repeated measures. If we look at the most common types of analysis of variance, we distinguish between one-factor and two-factor analysis of variance, and on the other hand, analysis of variance without measurement repetition and with measurement repetition.
This video is about the two-factor analysis of variance with measurement repetition. This brings us right to the first question, what do I need two-factor analysis of variance with measurement repetition for? Two-factorial analysis of variance with measurement repetition tests whether there is a difference between more than two samples divided between two variables or factors.
In contrast to the two-factorial analysis of variance without repeated measures, one of the factors is created by repeated measures. So one factor is a dependent sample.

ANOVA Calculator:

Calculate the example directly with DATAtab for free, just click the link:

Tutorial:

[datatab]

Calculate the example directly with DATAtab for free, just click the link:

[xmasEsther]

fantastic!!!! my mind is much clearer after watching this. Thank you!!

[Exceljournals]

Thank you so much for this! Super clear and straight to the point!

[strugglingstudent-]

Your videos are always excellent, thank you for what you're doing! Are there any other dependent samples that are relevant the second factor besides measurements over timestamps?

[JosefineSkyllberg]

Hi, great video! Could this analysis (Two factor ANOVA with repeated measures) be applied in a scenario when you have sampled two treatment areas (impact and control) over two sampling times (before and after) in the same sampling area (in my case a shallow bay)? In other words, does the observations become dependent of each other when sampled in the same bay (e.g. with the same environmental abiotic factors)?

[matthewbeeler]

Can you clarify something for me? The summary in words shows no difference for your time variable but the data shows otherwise and you state otherwise. Can you explain what is going on there? Your data shows that there is an overall effect for your time point (before, middle, and end) and the p value is smaller than 0.05. However, in the summary in words, they don't talk about it and lead you to believe there is no difference for time.

[evazhong]

Hi, how to perform three factor ANOVA with repeated measures in the datatab?

[diananazaryan]

Could you make video on ANCOVA, please?

[chacmool]

This is a good video, but it only takes you up to the overall model. The real insights are in the Contrasts, in the post-Hoc Analysis.

[scramah]

When you are describing the assumptions for the ANOVA tests, you make the following comments: "The variances in each group should be about the same" and "The data within the groups should be normally distributed". I am slightly confused by this wording. Shouldn't the assumptions, *instead*, read as:

1. The variances of the *populations* from which each group is drawn from should be the same

2. The *population* from which each group is drawn from should have a normal distribution

[sovannaramoun]

Could you explain us about how to analyze Difference-in-Difference? Thank you in advance.

[Puregoldkarat]

Hello can anyone confirm whetherr the participants in each group are different? Or each participant in the research would undergo all therapy (A, B, C) but measured at different times?