I'm new to statistics so this may seem an obvious question for you guys. I have created a survey to collate peoples opinions on how U.S anti-money laundering regulation has impacted their financial privacy.
The survey is completely anonymous if you are interested and found here:
So I am trying to model financial privacy loss (dependent variable) against U.S anti-money laundering regulation such as the Patriot Act / Bank Secrecy Act ...(the independent variables). In total I have 4 independent variables or 4 pieces of regulation.
In my model the independent variables can impact the dependent variable in 3 ways: Weak, Moderate, Strong.
From what I understand this scenario is trichotomous and not binary, and also discrete not continuous as there is no in-between)
For example: The Bank Secrecy Act has had a strong impact on financial privacy loss.
So my question is: What kind of regression model would best suit this scenario?
Thanks for your time.