I have tested gender difference on the relationship between Variable A and B using linear model (GLM command in SPSS).
I have found that the interaction of A (covariate/independent variable) with gender (factor) on B (dependent variable) is statistically significant. This means that the relationship between A and B differ based on whether one is a male or a female.
I am not familiar with GLM procedure, so I am wondering what is the next step.
Question 1: Is there a way to find out whether the difference in the relationship between A and B is greater for males over females or vice versa. (i.e. how do I interpret the difference?)
My preference is to just stop at this stage and look at the correlation coefficients between A and B for males and females separately and based on the GLM result, discuss the two coefficients. e.g. if r for males is 0.64 and r for females is 0.72, then I just conclude, based on the GLM, that the correlation is stronger for females over males.
Question 2: Is it possible to combine GLM and correlation (Pearson) in the above manner?
Your thoughts will help me better explain the findings to my target audience!