Minimise chance of making type 1 error, without reducing alpha?

Is there any other way in a research design to reduce the chance of making a type 1 error, without reducing the alpha value (keeping it at .05)?


Not a robit
Minimize measurement errors, minimize selection bias, control for positive confounding, control for mediating effects - that is given these things exist and functionally serve to bias effects away from the null.