V14.12 - Moderated Multiple Regression in SPSS

From Chapter 14 of my free textbook: How2statsbook.
Download the chapters here: www.how2statsbook.com
More chapters to come. Subscribe to be notified.

[@throneofthethirdheaven763]

Hey there. The result of the moderated multiple regression analysis showed non-significant direct effects of the two IVs, but a significant interaction effect. Do you have any insight into what this might suggest?

[@mirtekuipers6707]

Omg thank you so much for mentioning that collinearity is going to be violated because of the interaction, I've been looking for an answer on this for days!

[@lawjef]

Word to the wise, collinearity wont bias your coefficients. It’s main problem is artificially inflating your variance so your p values are too low. If you have stat significance despite the collinearity then you don’t necessarily have an issue to resolve. Whether it’s a moderated regression or a regular regression, collinearity is often not the major problem that we all think it is.

[@Happinesstyc]

Thanks for the detailed talk. I would like to ask if one or both of the independent variables are dichotomous or categorical (such as sex or stage of cancer), can we make interaction term for them?

[@amnaarshad6572]

Hi can you please help me interpreting my variables?

[@jaykenarn6223]

same man

[@aliagha176]

please can you tell me what is the exact significant value for moderation? is it 0.001 or 0.05

[@johnpury]

Thank you this helped.

[@caranya5366]

THX

[@jaykenarn6223]

may I clarify which one is the IV and DV and which is the MV? Where can I see the hierarchal multiple regression video? What if I have two IVs and two MVs? Man I'm dying cuz I can't find an answer

[@how2statsbook477]

This example (with variable descriptions) is described in my (free) textbook (Chapter 14): www.how2statsbook.com

[@didikhendra648]

Have you solved this?