For my master's thesis I'm conducting a research on the influence of morality and self-control on self-reported delinquency. Morality is a metric scale, while self-control is divided into three subscales, being temper, impulsivity and risk-taking behaviour, which are all metric scales. Self-reported delinquency is a count variable.

Since the dependent variabele (i.e. delinquency) is a count variabele, I've been advised to use negative binomial regression analysis. However, I want to examine the interaction effect between self-control and morality, but I've heard that negative binomial is not the most appropriate method of evaluating interaction effects. So how do I examine the interaction effect then? Would it be okay to evaluate the main effects through negative binomial, and then use OLS linear regression to examine the interaction effects? This feels kind of counterintuitive, since it nullifies the purpose of using negbin in the first place.

If so, do I make three interaction variables (like the first one being temper*morality, second being impulsivity*morality, etc...), or is this a bad idea?

Sorry if this sounds like a simple problem, but I feel like I'm really in a dark room right now, and any help/advice would be appreciated. I guess I'm most confused about using negbin and OLS all scrambled together, and the fact that I have to include so many interaction variables.

Cheers,

Elias