I am estimating a path model by using probit estimation (WLSMV).
In one equation, the dependent variable (Y1) is binary and the two (endogenous) predictors are continuous (X1 and X2). Knowing that it is a probit regression based on WLSMV and not a logit regression, my question is:
How could I interpret the results of this regression in terms of probability?
Here are the unstandardized parameters:
X1 : B1 = -.23
X2: B2 = .14
Threshold = .59
(I understand that the regression coefficients (B1 or B2) can be interpreted as the change in probit value of Y1* (latent response variable) for each 1 unit increase in X1 or X2 (respectively). I also understand that the threshold is the value of the latent response variable at which the observe binary variable switches from 0 to 1. )
Any help would be greatly appreciated!