Thank you Bas for your great explanation. I do have a question though; I do have a positive interaction term and want to further run the analysis / understand the relationship by stratifying my moderator. Please a short explanation will be very helpful on how to proceed. Like for instance do I add my interaction term in the analysis with my stratified moderator? Do I keep my other independent variable continuous or do I group it as well? Please help
Hi Baspss I was wondering what I should input when making the moderator variable; I have two subscales to measure the locus of control I am trying to see the interaction between attitude and intention to behaviour and using locus of control as a moderator Do I write it as Attitudes*Internality + PowerfulOthers? Or Do I turn them into separate moderators? Hope my question makes sense Thank you
Hi Bas! Wow, I am really admiring your knowledge of statistics! I am struggling to make sense of my data, particularly interpretation of two sets of moderators that I have. It's like Japanese to me. Do you give private tutoring? :)
Hi, appreciate the compliments! Sadly I dont tutor privately at the moment, really busy with my regular job. Im pretty sure someone in your real life network can help you! And small questions can always be asked here in the comments
Hi, je videos zijn ontzettend leerzaam, dankjewel! Ik vroeg me af hoe het werkt als je in je onderzoek 2 modererende variabelen hebt: kan je dan de tweede modererende variabele in het vierde model zetten? Of kan je dit alleen los van elkaar onderzoeken (dus twee verschillende toetsen en dus verschillende modellen)?
You can add others as they are or create interactions for them as well. However, you should plan your model beforehand and which variables moderate and which variables predict.
Hey! Officially job is an ordinal variable indeed, which would result in making dummy variables.. But just for the sake of these videos I treat it as an interval variable, which doesnt necessarily conclude in making dummy variables
Thank you Bas for your great explanation. I do have a question though; I do have a positive interaction term and want to further run the analysis / understand the relationship by stratifying my moderator. Please a short explanation will be very helpful on how to proceed. Like for instance do I add my interaction term in the analysis with my stratified moderator? Do I keep my other independent variable continuous or do I group it as well? Please help
Hi Baspss I was wondering what I should input when making the moderator variable; I have two subscales to measure the locus of control
I am trying to see the interaction between attitude and intention to behaviour and using locus of control as a moderator
Do I write it as Attitudes*Internality + PowerfulOthers? Or Do I turn them into separate moderators?
Hope my question makes sense
Thank you
How to run moderating effect by stratifying and how to determine if the strata are significantly different?
Hi Bas! Wow, I am really admiring your knowledge of statistics! I am struggling to make sense of my data, particularly interpretation of two sets of moderators that I have. It's like Japanese to me. Do you give private tutoring? :)
Hi, appreciate the compliments! Sadly I dont tutor privately at the moment, really busy with my regular job. Im pretty sure someone in your real life network can help you! And small questions can always be asked here in the comments
Hi, je videos zijn ontzettend leerzaam, dankjewel! Ik vroeg me af hoe het werkt als je in je onderzoek 2 modererende variabelen hebt: kan je dan de tweede modererende variabele in het vierde model zetten? Of kan je dit alleen los van elkaar onderzoeken (dus twee verschillende toetsen en dus verschillende modellen)?
How would you add in a covariate through this method? TIA!
How do I do this but with 1 IV (7 point Likert scale), 1 Moderator (intervention vs control), and 2 DV's (both 7 point Likert scale) ?
how to perform regression including moderating effect if there are more than one predictors?
You can add others as they are or create interactions for them as well. However, you should plan your model beforehand and which variables moderate and which variables predict.
Hello Bas, Is this than the same as a hierarchical regression or is this a single and multiple linear regression at the same time?
Hi! How come you didnt have to create dummy codes for job in the regression?
Hey! Officially job is an ordinal variable indeed, which would result in making dummy variables.. But just for the sake of these videos I treat it as an interval variable, which doesnt necessarily conclude in making dummy variables
thank you
Na deze video nog steeds hulp nodig bij SPSS? Bekijk dan deze video: ruclips.net/video/NhVJW0Lvr_E/видео.htmlsi=MRha5EE03xcIItjE