One Factor vs. Two Factor ANOVA [One Way vs Two Way] 

If you like, please find our e-Book here: datatab.net/statistics-book 😎

Love your videos. Very clear and to the point. Thanks!

Crystal clear. Thanks

Incisive professor. I was struggling to compensate my weak professor's lecture then I stumble on this lambent professor. She knows exactly what is she talking about: so lucid, so informative, so abridged, so aplomb, so magnanimous and so on. I would recommend my fellow friends.

Well explained 🎉🎉🎉 love ❤ it.i was struggling and u made it clear.

Like your teaching

Thank you! Thank you! Thank you!

Thank you. Good makes sense

Excellent explanation!

The explanation was wonderful ✨️

Thanks a lot, Ma'am 😊

Thanks a million for your great explanation.

Good explanation

please upload videos on deep learning maths intuition

thank you!

Thank you

Is one way anova= one factor anova? And two way anova= two factor anova? Googling this for a long time but to no avail, appreciate your help

brilliant

dear prof, I want to test whether public exposure (IV2) to norm violations and relations with perpetrators (IV 1) of norm violations have an effect on observer vicarious embarrassment (VE). So there are two factors that cause VE, namely public exposure and relations with perpetrators of norm violations. Public exposure has two levels, namely (a) there is exposure and (b) there is no exposure/quiet. Level relationships: (a) Friends and (b) strangers. I'm planning to use a vignette to get the VE data. My question is: 1). Should the vignette show two directly interacting variables such as: "My friend (IV2) spoke loudly in the library and was seen by many people (IV1), how embarrassed are you for her actions?" or 2) vignette only contains information for each level independently. Examples in friendship relationships: My friend (IV1) spoke loudly in the library, how embarrassed are you for what he did?, Someone you don't know (IV1) spoke loudly in the library how embarrassed were you for what he did? I think that to get the main effect, the simulation is carried out per level, and then a statistical test of the interaction between IV1 and IV2 is carried out. Meanwhile, if the vignette contains two IVs that interact directly with each other, such as (friends x public exposure), (foreigners x public exposure), then this has directly tested the interaction effect so that the main effect for each IV is not obtained. Is my thinking correct? The analysis is repeated measures for 4 different conditions. thank you for your kindness.