The two variables i am interested in are dummy variables. In the ordered probit and the OLS regression without fixed effects variable A is insignificant with a near zero coefficient and variable B is significant with a negative coefficient. However, once I account for fixed effects variable A becomes very negative and significant whereas variable B becomes insignificant and near zero.

I am very confused about what is happening within my analysis. I understand what accounting for fixed effects has done but i did not expect it to change my coefficients so massively and as a result I am now quite confused. My first question is which model should I be more interested in interpreting? and secondly, is this a common occurrence when accounting for fixed effects?

Any help would be greatly appreciated. Thanks