Linear regression with interaction vs medmod analysis
Posted: Fri Feb 18, 2022 9:50 am
I am currently using Jamovi to test my hypothesis involving moderator Y on the relationship of A (IV) and B (DV). I am using the linear regression function because there are other variables I need to control, and the medmod function seems to only consider the moderator variable and the independent variable and does account for control variables.
To check my results, I also conducted a linear regression with an interaction term (A x Y) without control variables and compared the results with the results of the moderation analysis in medmod. The results are not far off, but there is a difference (i.e., estimate of interaction term = 0.0103, p = 0.047 using linear regression; estimate = 0.01029, p = 0.043 using medmod).
My question is: what is accounting for the decimal differences? How does Jamovi conduct moderation analysis via medmod vs linear regression with an interaction term?
To check my results, I also conducted a linear regression with an interaction term (A x Y) without control variables and compared the results with the results of the moderation analysis in medmod. The results are not far off, but there is a difference (i.e., estimate of interaction term = 0.0103, p = 0.047 using linear regression; estimate = 0.01029, p = 0.043 using medmod).
My question is: what is accounting for the decimal differences? How does Jamovi conduct moderation analysis via medmod vs linear regression with an interaction term?