# How do I objectively choose a statistical approach when I want to publish?

It is a common concern to hold alpha values at 0.05 and that it is completely arbitrary. I have been interested in using other methods, but I know that there may be pushback from editors to use standard statistics rather than weighing type I and type II errors and choosing an alpha value from there. I've seen it done before, but how much is the real drawback from doing that in publishing?

## Popular Answers

John W. Kern· Kern Statistical Services, Inc., University of Wyoming, Montana State UniversityIt is also critical to conduct a power analysis to insure that the experimental design is adequate to estimate parameters with adequate levels of precision to answer research questions. Funding decisions should be based on the adequacy of the design and number of samples to answer questions with a high likelihood of unambiguous results..

## All Answers (7)

Fernando Tuya· Universidad de Las Palmas de Gran CanariaSandro Sperandei· Fundação Oswaldo CruzAbout beta level, it is always welcome when authors demonstrate their beta levels, especially if it was calculated a priori

Patrice S. Rasmussen· University of South FloridaJohn W. Kern· Kern Statistical Services, Inc., University of Wyoming, Montana State UniversityIt is also critical to conduct a power analysis to insure that the experimental design is adequate to estimate parameters with adequate levels of precision to answer research questions. Funding decisions should be based on the adequacy of the design and number of samples to answer questions with a high likelihood of unambiguous results..

Alessandro Giuliani· Istituto Superiore di SanitàElias Oziolor· Baylor UniversityCan you help by adding an answer?