I am a psychology undergrad student and I'm not the best at stats. My thesis is due soon but I'm having trouble with my analysis despite extensively searching for an answer. It would be helpful to me if any answers are given in simple terms!
My dependent variable is victim blame and is continuous scale data. My independent variables are gender (male vs female) and scenario (scenarioA vs scenarioB vs scenarioC) as well as hostile sexism (continuous scale), benevolent sexism (continuous scale) and frequency of pornography use.
It has been suggested that I carry out a hierarchical regression but I am having a great deal of trouble with this. My hypothesis is that victim blame scores will differ depending on what scenario was read and that this difference will be moderated by benevolent sexism scores. Does this involve creating an interaction term of scenario x benevolent sexism? Is it necessary to first dummy code the scenario variable? Or is regression not the right approach at all? I'd reeeeeaaaally appreciate some help with this! Many thanks.