Handling Control Variables in Multiple Regression Analysis | Step-by-Step SPSS Tutorial

Welcome to our comprehensive SPSS tutorial on handling control variables in multiple regression analysis! In this video, we dive deep into the intricacies of incorporating control variables to improve the accuracy and robustness of your regression models. Whether you're a student, researcher, or data enthusiast, understanding control variables is crucial for producing reliable and insightful results.
In this tutorial, we cover the fundamental concepts of multiple regression and explain the importance of controlling for variables that could confound your analysis. We demonstrate step-by-step instructions on how to add control variables while running multiple regression in SPSS.
#SPSS #multipleregression

[@raz2936]

very clear! GOOD!

[@HerbySystems]

this is very helpful thanks! :)

[@Smiley7572]

Thank you very much! :)

[@anouks6235]

When do you use this manner of controlling for variables, campared to hyrarchical multiple regression?
I'm investigating the relationship between work attitudes (work as a right and work as a duty) and work behaviors (like working hours and how voluntary this is) , but would like to control for variables like age, amount of children, educational level. I was thinking to do two regression analyses as I have two dependent variables, but don't know how to controle best in this situation.

[@researchandanalysis4701]

If you want to control age, amount of children etc, the process will be same as advised in the video. Since you have two DVs then you will have to run the process two times for each DV separately.

[@anugrewal9790]

Greetings sir
In case of nominal variable age , gender we have to do in same manner

[@researchandanalysis4701]

Yes, the controlling process is same.

[@anugrewal9790]

@@researchandanalysis4701
Ok thank you so we need to add all demographic variables in the questionnaire

[@researchandanalysis4701]

@@anugrewal9790 Well it depend on your research questions.