GLM Part 6: Interaction effects: How to interpret and identify them

Learning Objectives:
#1. Understand what an interaction is
#2. What language maps into interaction
#3. how to visualize multivariate relationships with two variables
#4. visually identify interactions

[onionshark]

Old video, still relevant, and yet another PhD student here eternally grateful for your ability to explain these concepts clearly! The readers of my future papers will benefit to no end because now I can actually explain my results in human words

[carylelainecastaneda]

Dang. this might be the only time I have come to appreciate econometrics. Thanks! You're such as great teacher!

[muhdkhairulhassan]

this channel is underrated beyond belief

[Trakushun]

I don't even have finished the video and I jumped into the comments section to express my love! ahah Oh man! I'm a phD student with an Environmental science background who now is learning about statistics and I find it amazing that you can explain statistics so clearly and fun while providing such a good information. Thanks for your work man, you have a subscriber forever.

[raphaelriviere]

Subscribed! Someone who truly understands their topic can explain it to someone else without jargon and this man does it well!

[michelle-yhdo]

omgg!! im studying this and i CANNOT understand anything until i watched your video! thank you so

[rapmantheoneman]

What an amazing teacher! Thank you for breaking it down into non-technical terms. Awesome examples.

[shane]

You my friend are an absolutely outstanding educator. Amazing explanation.

[StudiousSeanReads]

Super fun. I love how you break it down, delivering the content in such an exciting way that POPS! This is super helpful for learning

[WorldOfJD]

The introvert labelling doesn't seem right.

[dataman]

the best explanation of interation I ever heard!!

[bernadettblummer]

Why? Why am I only finding this channel 3rd year into my psych degree?! I've never laughed so much during a statistics lecture. I can't wait to watch more of this! Thank you, thank you, thank you for sharing your stats teaching talent!

[LuaanaBarros]

I am actually crying at the end of this video. I already finished my master's multilevel analysis with interactions and still coundn't explain simply WHY I needed them so bad in my model. This cleared my mind to put it in words and now I really feel ready to defend it to the panelists. ILY and thanky you, Quant Psych

[JayeshRaoexplorer]

You sir are gold! Thank you for coming in at the right time!

[wattel]

"Now do you get it?!" "I think so 🤔" Never related so much to a video 😆

[yiwenlin]

This is my first youtube comment ever but I can't help to express how excited I was to find this! Hands down the most fun and passionate stats videos I've seen! Everything I learned in two stats classes I took in the past year is so neatly summarized in these videos. This really helps address my doubts and concerns in conducting analysis. I can't wait to check out other videos on the channel and share this awesome resource with fellow PhD students!

[JT-phhk]

love so much your video! is clever fast, and funny, all that I ever desire to find

[rohitnath]

the most amazing video on interactions

[taranaferdous]

Hahahaha!! What was that? Enjoyed a class after a long time! 😂😂😂

Can you make a video on mix-effect model with interaction term (within and between subject) with proper interpretation, like we write in scientific paper?

And thank you again for screaming to my ear! 😂😂😂

[ahmedelkholy]

Thanks a lot clarifying main points in such amazing manner :)