I'm doing empirical research for the first time and have the following setup:

- 1 dichotomous DV (purchase referral)
- 2 dichotomous IVs: Purchase type (good vs. service), Customization (standard vs. customized)

Purchase type:

**B =**1.824,

**exp(B) =**6.195

Customization:

**.937,**

**B =****exp(B) =**2.553

PT x CUSTOM:

**-.971,**

**B =****exp(B) =**.379

So the likelihood to refer one’s purchase is 6.195 times higher for services than for material goods. But how do I figure out if the interaction effect is in the direction I hypothesized? I ran the regression a second time and used standard/services as the reference categories:

Purchase type:

**-1.824,**

**B =****exp(B) =**.161

Customization:

**-.033,**

**B =****exp(B) =**.967

PT x CUSTOM:

**.971,**

**B =****exp(B) =**2.639

So I get a negative regression coefficient and a low Odds ratio when I look at customized services compared to standard material goods, and a positive regression coefficient and way higher Odds ratio when I compare customized material goods to standard services right? Can I correctly assume that the interaction effect is in the way I predicted?

Can somebody tell me how to correctly interpret this and if there is a way that I could maybe even

**visualize**this?!