In general, the coefficients from probit and logit models are not directly comparable in terms of a simple multiplicative factor because they are derived from different underlying distributions. However, it's often stated that the coefficients from the probit model tend to be smaller in absolute terms than those from the logit model due to the shape of the respective cumulative distribution functions.
A common approximation is that the coefficient of the probit model is about 1.6 times the coefficient of the logit model. Conversely, this means that the coefficient of the logit model can be considered approximately \(0.625\) times the coefficient of the probit model (since \(1 / 1.6 \approx 0.625\)).
To summarize: 26. The coefficient of the probit model is approximately 1.6 times the coefficient of the logit model. 27. The coefficient of the logit model is approximately 0.625 times the coefficient of the probit model.