Who knows what logit model is?

I also recommend a good book for you: Wang Jichuan, Guo Zhigang, Logistic Regression Model-Method and Application, Beijing: Higher Education Press, 200 1. You can basically understand the probability estimation model by browsing the relevant contents of these three books, but I'm not sure if there are any e-books online. Here, I can answer your question briefly first.

First of all, people usually use terms such as Logistic regression, Logistic model, logistic regression model and logit model to refer to the same model. The only difference is that the form is different: Logistic regression directly estimates the probability, while Logit model performs Logit transformation on the probability. However, SPSS software seems to call the model composed of classified independent variables Logit model, while the model with both classified independent variables and continuous independent variables is called Logistic regression model. As for binary or multivariate, the key is to look at the number of dependent variable categories, and multivariate is the expansion of binary.

Secondly, when the dependent variable is a nominal variable, there is no essential difference between Logit and Probit, and they can be used interchangeably in general. The difference lies in the different distribution functions. The former assumes that random variables obey logical probability distribution, while the latter assumes that random variables obey normal distribution. In fact, the formulas of these two distribution functions are very similar, and the function values are not much different. The only difference is that the tail of the logical probability distribution function is thicker than that of the normal distribution.