Preventing p-hacking requires a multi-faceted approach:
Pre-registration: Registering study protocols and analysis plans in advance to reduce the temptation or ability to p-hack. Transparency: Sharing data and analysis code to allow others to replicate findings and validate results. Statistical Training: Providing comprehensive training in statistical methods to ensure proper application and interpretation of tests. Robust Peer Review: Encouraging reviewers to critically evaluate the methods and analyses used in studies.
