SPSS #13 - Multiple Linear Regression - Confounders - Theory

Hi guys and welcome to the 13th episode of my SPSS tutorials on youtube. Please leave a like and subscribe to my channel if it was helpful. If you have any questions feel free to leave them in the comments below or email me at [e-mail]

[@LetsWinWithTim]

Thanks Bas - currently working on my Analysis and Discussion sections and this was a great help!

[@minoomatbouriahi7135]

Thank you so much Bas! You are doing a great job.

[@TheApiwattiger]

You saved my life!

[@FLneodesign]

Fantastic Bas!

[@katieavila7653]

Thank you!! This is very helpful

[@scgamerd]

Baspss. Could you please explain on how to identify confounders (if they are not known)? Some studies qualify variables as confounders if the outcome change estimated coefficient for at least one of the diagnoses is changed by at least 10%. This is called the rule of 10 (I think). My question is: which values from the coefficient table in the SPSS results you got do we compare as 10%? Referring to table of Coefficient on 8:23

[@kevinyim6372]

Nuttige video dankjewel

[@AMNAZIA-n7z]

can you share something on isotherm (adsorption model )

[@evelynedegrande9605]

is hot temperature dan een achtergrondvariabele in de relatie tussen de indep en dep variabele?

[@baspsstutorials9783]

Yes dat klopt! Zie aflevering 20 als je twijfelt wat voor soort een variabele is

[@qinvandestadt9249]

Hoi Bas,
Als je de B wil laten zien in je resultatentabel, welk getal moet je dan nemen? 0,087 of 0,951?
Groetjes,
Qin

[@sitirahmawati7832]

Great explanation, thank you so much

[@baspsstutorials9783]

Na deze video nog steeds hulp nodig bij SPSS? Bekijk dan deze video: th-cam.com/video/NhVJW0Lvr_E/w-d-xo.htmlsi=MRha5EE03xcIItjE

[@YourPositiveOasis]

✅